{"jtbd":{"id":"cheap-volume-llm","slug":"cheap-volume-llm","name":"High-volume cheap LLM inference","shortName":"High-volume cheap LLM inference","problemStatement":"Millions of tokens/day for classification, extraction, or drafts where frontier quality is optional."},"pick":{"id":"fireworks","slug":"fireworks","name":"Fireworks AI","tagline":"Top pick for production open-model serving with real DX. Prefer over random GPU DIY when you want tokens not…","website":"https://fireworks.ai","overall":8.35,"scoreBand":{"low":7.7,"mid":8.3,"high":8.9,"halfWidth":0.6,"basis":"editorial_prior","display":"7.7–8.9 (editorial prior)"},"scoreLayers":{"editorialPrior":8.35,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","pricingNotes":"Serverless per-token + on-demand GPU; day-0 OSS model support; post-training stack. Free credits often available.","scores":{"capabilityFit":8.6,"pricePerformance":8.8,"latencyReliability":8.4,"developerDx":9,"privacyPosture":7.5,"lockInRisk":3.5,"maturity":8,"overall":8.35,"kind":"curated_estimate","confidence":"high","asOf":"2026-09-14"}},"runnersUp":[{"id":"together","slug":"together","name":"Together AI","tagline":"Best catalog breadth for OSS models. Watch minimums and lifetime spend gates before you design around a gated…","website":"https://www.together.ai","overall":8.2,"scoreBand":{"low":7.6,"mid":8.2,"high":8.8,"halfWidth":0.6,"basis":"editorial_prior","display":"7.6–8.8 (editorial prior)"},"scoreLayers":{"editorialPrior":8.2,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","pricingNotes":"As of 2026-09-14: Open-model inference + fine-tune on one OpenAI-compatible API; competitive per-token rates (often ~$0.15–$0.90/MTok class depending on model). Strong for Llama/Qwen/DeepSeek families; Dedicated endpoints available.","scores":{"capabilityFit":8.5,"pricePerformance":9,"latencyReliability":8,"developerDx":8.4,"privacyPosture":7.2,"lockInRisk":3.5,"maturity":8.2,"overall":8.2,"kind":"curated_estimate","confidence":"high","asOf":"2026-09-14"}},{"id":"groq","slug":"groq","name":"Groq","tagline":"Use when latency is the product. Do not build your whole company on one Groq model SKU — they rotate.","website":"https://groq.com","overall":7.95,"scoreBand":{"low":7.4,"mid":8,"high":8.6,"halfWidth":0.6,"basis":"editorial_prior","display":"7.4–8.6 (editorial prior)"},"scoreLayers":{"editorialPrior":7.95,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","pricingNotes":"Per-token with free tier; LPU inference; narrow production model set (Llama/Qwen/GPT-OSS etc.); batch discounts. Llama Guard 4 12B (model id meta-llama/llama-guard-4-12b) is still documented at console.groq.com/docs/model/meta-llama/llama-guard-4-12b as an open safety classifier; its per-token price figure was removed because it couldn't be re-sourced on 2026-10-21 (no price on that page or on console.groq.com/docs/models as of 2026-10-21). See the stored rows for sourced Groq prices, including the Llama Prompt Guard 2 classifiers.","scores":{"capabilityFit":7.8,"pricePerformance":9,"latencyReliability":8.2,"developerDx":8.8,"privacyPosture":7,"lockInRisk":5,"maturity":7.8,"overall":7.95,"kind":"curated_estimate","confidence":"high","asOf":"2026-09-14"}},{"id":"deepinfra","slug":"deepinfra","name":"DeepInfra","tagline":"Budget open-model workhorse and one of the cheapest large-catalog hosts. Great for evals and high-volume…","website":"https://deepinfra.com","overall":7.95,"scoreBand":{"low":7.4,"mid":8,"high":8.6,"halfWidth":0.6,"basis":"editorial_prior","display":"7.4–8.6 (editorial prior)"},"scoreLayers":{"editorialPrior":7.95,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","pricingNotes":"As of 2026-09-14: Broad OpenAI-compatible catalog with model-specific token rates (e.g. Llama-3.3-70B Turbo $0.10/$0.32 per 1M in/out; DeepSeek-V4-Flash input $0.09, cached input $0.018 and output $0.18 per 1M (deepinfra.com/pricing as of 2026-10-21; not stored as rows); embeddings from $0.005/MTok). Dedicated GPU rentals (deepinfra.com/pricing, re-checked 2026-10-20): A100 80GB $1.49/GPU-hr, H100 $2.90, H200 $3.49, B200 $4.89, B300 $5.89. Standard/Priority(1.5x)/Flex(0.8x) tiers. No long-term contracts.","scores":{"capabilityFit":8,"pricePerformance":9.4,"latencyReliability":7.5,"developerDx":8.5,"privacyPosture":6.5,"lockInRisk":3,"maturity":7.2,"overall":7.95,"kind":"curated_estimate","confidence":"high","asOf":"2026-09-14"}},{"id":"deepseek","slug":"deepseek","name":"DeepSeek","tagline":"Unbeatable $/quality for many workloads — if your compliance team allows it. Otherwise host similar open…","website":"https://www.deepseek.com","overall":7.95,"scoreBand":{"low":7.4,"mid":8,"high":8.6,"halfWidth":0.6,"basis":"editorial_prior","display":"7.4–8.6 (editorial prior)"},"scoreLayers":{"editorialPrior":7.95,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-03","editorialPriorAsOf":"2026-09-14","pricingNotes":"As of 2026-09-14: Official API at api-docs.deepseek.com with very aggressive Flash/Pro token pricing (often cents per MTok on Flash tiers). Strong coding/reasoning open releases also hostable elsewhere. Geopolitical/compliance caveats for some orgs — host weights on Fireworks/Together/DeepInfra if direct API is blocked.","scores":{"capabilityFit":8.8,"pricePerformance":9.8,"latencyReliability":7.8,"developerDx":8,"privacyPosture":4.5,"lockInRisk":4,"maturity":7.5,"overall":7.95,"kind":"curated_estimate","confidence":"high","asOf":"2026-09-14"}},{"id":"google-ai","slug":"google-ai","name":"Google AI (Gemini)","tagline":"Best value frontier stack and multimodal king. Use Flash for high-volume agent loops; Pro when quality…","website":"https://ai.google.dev","overall":8.43,"scoreBand":{"low":7.8,"mid":8.4,"high":9,"halfWidth":0.6,"basis":"editorial_prior","display":"7.8–9.0 (editorial prior)"},"scoreLayers":{"editorialPrior":8.43,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-10-19","pricingNotes":"Gemini 3.x Pro often ~$2/$12 under 200K; Flash tiers much cheaper. 1M context. Vertex for enterprise. Batch half-price common.","scores":{"capabilityFit":9.2,"pricePerformance":8.8,"latencyReliability":8.5,"developerDx":8.2,"privacyPosture":8,"lockInRisk":6,"maturity":9.6,"overall":8.43,"kind":"curated_estimate","confidence":"high","asOf":"2026-10-19"}},{"id":"dashscope","slug":"dashscope","name":"Alibaba Cloud Model Studio (DashScope)","tagline":"Catalog dashscope for Alibaba Model Studio / DashScope international Qwen. Complements Moonshot/MiniMax/Z.AI…","website":"https://www.alibabacloud.com/help/en/model-studio/","overall":7.86,"scoreBand":{"low":7.3,"mid":7.9,"high":8.5,"halfWidth":0.6,"basis":"editorial_prior","display":"7.3–8.5 (editorial prior)"},"scoreLayers":{"editorialPrior":7.86,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","pricingNotes":"As of 2026-09-14 (alibabacloud.com/help/en/model-studio/model-pricing International): Qwen3.8-Max $2/$6 per 1M; Qwen3.7-Max $2.5/$7.5 (limited-time 50% off on some SKUs); Qwen3-Max $1.2/$6 (≤32k) tiering up at longer contexts; Qwen-Plus class ~$0.40/$1.20–$1.60. Batch often 50% off. Singapore free quotas (~1M tokens/90d) on many models. Intl endpoint dashscope-intl.aliyuncs.com; regional MaaS hosts for CN/EU/US/JP. Coding/Token Plans available in Singapore.","scores":{"capabilityFit":8.6,"pricePerformance":8.2,"latencyReliability":8.4,"developerDx":7.2,"privacyPosture":7,"lockInRisk":5.5,"maturity":8.8,"overall":7.86,"kind":"curated_estimate","confidence":"high","asOf":"2026-09-14"}},{"id":"zai","slug":"zai","name":"Z.AI (Zhipu GLM)","tagline":"International GLM via z.ai — catalog zai, not a second Zhipu mainland-only SKU. Strong cheap/coding runner…","website":"https://z.ai","overall":7.79,"scoreBand":{"low":7.2,"mid":7.8,"high":8.4,"halfWidth":0.6,"basis":"editorial_prior","display":"7.2–8.4 (editorial prior)"},"scoreLayers":{"editorialPrior":7.79,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","pricingNotes":"As of 2026-09-14 (docs.z.ai/guides/overview/pricing): International OpenAI-compat api.z.ai. GLM-5.3 / 5.2 / 5.1 $1.40 in / $0.26 cached / $4.40 out per 1M; GLM-5 input $1, cached $0.20, output $3.20; GLM-4.7 input $0.60, cached $0.11, output $2.20; GLM-4.7-FlashX input $0.07, cached $0.01, output $0.40 (all per 1M, matching stored rows; re-checked on docs.z.ai/guides/overview/pricing 2026-10-21); GLM-4.7-Flash and GLM-4.5-Flash free. Vision GLM-4.6V $0.30/$0.90; GLM-OCR $0.03; GLM-Image $0.015/img; CogVideoX-3 $0.20/video; GLM-ASR-2512 $0.03/MTok (~$0.0024/min). Web Search tool $0.01/use. Cached-input storage limited-time free.","scores":{"capabilityFit":8.2,"pricePerformance":9,"latencyReliability":7.6,"developerDx":8,"privacyPosture":6,"lockInRisk":4.6,"maturity":8,"overall":7.79,"kind":"curated_estimate","confidence":"high","asOf":"2026-09-14"}},{"id":"chutes","slug":"chutes","name":"Chutes","tagline":"Budget open-model overflow with a now-pinned public TEE matrix. Depot open-model production pick stays…","website":"https://chutes.ai","overall":7.29,"scoreBand":{"low":6.7,"mid":7.3,"high":7.9,"halfWidth":0.6,"basis":"editorial_prior","display":"6.7–7.9 (editorial prior)"},"scoreLayers":{"editorialPrior":7.29,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","pricingNotes":"As of 2026-10-27 (chutes.ai/pricing, fetched twice 2026-10-27): Public TEE inference PAYG per 1M tokens, input/output (the page says per-model rates are 'pulled live from our pricing API'): gemma-4-31B-turbo $0.12/$0.37; Qwen3.8-27B $0.039/$1.25; Qwen3.6-27B $0.25/$2.00; DeepSeek-V4-Flash-0731 $0.44/$1.32; Kimi K2.6 $0.39/$1.80; Qwen 3.5 (397B-A17B) $0.45/$3.00; DeepSeek-V3.2 $1.00/$1.00; GLM-5.1 $0.90/$2.90; GLM-5.2 $1.25/$3.95; Kimi-K3 $1.85/$9.50 (cached-input rates also on page, not stored). Mistral-Nemo, Nemotron-3-Nano-Omni-30B, Qwen3-32B and Qwen3-235B-A22B-Thinking-2507 are no longer on the page (re-checked 2026-10-27; stored rows kept at their 2026-10-03 amounts, marked unverified, never ranked). Private Chute self-serve TEE GPU RTX Pro 6000 96 GB $1.80/hr + one-time deploy fee 3× hourly ($5.40). Page FAQ: 'Monthly plans are no longer sold on chutes.ai' (stored Plus $10 and Pro $20 rows kept from 2026-10-03, marked unverified, never ranked); no free tier. Matrix moves — re-curl before commits.","scores":{"capabilityFit":7.4,"pricePerformance":9.2,"latencyReliability":6.8,"developerDx":7.6,"privacyPosture":5.8,"lockInRisk":4,"maturity":6.2,"overall":7.29,"kind":"curated_estimate","confidence":"high","asOf":"2026-09-14"}}],"scoreBand":{"low":7.7,"mid":8.3,"high":8.9,"halfWidth":0.6,"basis":"editorial_prior","display":"7.7–8.9 (editorial prior)"},"scoreLayers":{"editorialPrior":8.35,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"whyPickOverHigherScore":{"pickId":"fireworks","pickName":"Fireworks AI","pickScore":8.35,"highestScoredCandidateId":"google-ai","highestScoredCandidateName":"Google AI (Gemini)","highestScore":8.43,"pickHasLowerCompositeScore":true,"delta":-0.08,"pickLeadsOnDimensions":["developerDx (9 vs 8.2)","lower lockInRisk (3.5 vs 6)"],"explanation":"Fireworks AI (8.35) is the editorial pick for High-volume cheap LLM inference over higher-composite Google AI (Gemini) (8.43) because composite scores are provider-wide priors while Fireworks AI wins on developerDx (9 vs 8.2), lower lockInRisk (3.5 vs 6): pricePerf + reliability + dx. Open-model hosts win; Gemini Flash also excellent closed-model value."},"cheapest":{"providerId":"cloudflare-workers-ai","providerName":"Cloudflare Workers AI","skuId":"cloudflare-workers-ai-cf-ibm-granite-granite-4-0-h-micro-in","item":"@cf/ibm-granite/granite-4.0-h-micro","plan":"@cf/ibm-granite/granite-4.0-h-micro — LLM model pricing, Price in Tokens column","unit":"usd_per_million_input_tokens","amountUsd":0.017,"isFloorPrice":true,"floorWarning":"Provider-wide floor SKU; may not be the flagship model scored for this JTBD.","skuCountInUnit":50,"isDepotPick":false,"sourceUrl":"https://developers.cloudflare.com/workers-ai/platform/pricing/","asOf":"2026-10-03","verifiedAsOf":"2026-10-27"},"recommendedWorkloadQuote":{"providerId":"fireworks","providerName":"Fireworks AI","skuId":"fireworks-embed-to-150m","item":"Embeddings up to 150M params","plan":"Embeddings up to 150M params — parameter-count bucket, not a named chat model","unit":"usd_per_million_input_tokens","amountUsd":0.008,"outputSkuId":null,"outputItem":null,"outputAmountUsd":null,"outputUnit":null,"sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-03","pricingLastVerifiedAt":"2026-10-03","isFlagshipForJob":false,"differsFromFloorCheapest":false,"representativeQuote":{"skuId":"fireworks-embed-to-150m","item":"Embeddings up to 150M params","plan":"Embeddings up to 150M params — parameter-count bucket, not a named chat model","amountUsd":0.008,"inputOrUnitUsd":0.008,"unit":"usd_per_million_input_tokens","outputUsd":null,"outputUnit":null,"sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-03"},"estimatedTaskCost":{"tasks":1000,"retryAndToolOverheadMultiplier":1.15,"retryToolOverheadMultiplier":1.15,"inputTokensPerTask":4000,"outputTokensPerTask":0,"baseCostPer1kTasksUsd":0.032,"totalUsd":0.0368,"estimatedTotalUsd":0.0368,"perTaskUsd":0.000037,"estimatedCostPerTaskUsd":0.000037,"formula":"((4,000 tokens * $0.008/1M) * 1,000 tasks) * 1.15 overhead","assumptions":"1,000 agent tasks @ 4k input + 1k output tokens/task with 1.15x retry/tool-call overhead."}},"representativeQuote":{"skuId":"fireworks-embed-to-150m","item":"Embeddings up to 150M params","plan":"Embeddings up to 150M params — parameter-count bucket, not a named chat model","amountUsd":0.008,"inputOrUnitUsd":0.008,"unit":"usd_per_million_input_tokens","outputUsd":null,"outputUnit":null,"sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-03"},"estimatedTaskCost":{"tasks":1000,"retryAndToolOverheadMultiplier":1.15,"retryToolOverheadMultiplier":1.15,"inputTokensPerTask":4000,"outputTokensPerTask":0,"baseCostPer1kTasksUsd":0.032,"totalUsd":0.0368,"estimatedTotalUsd":0.0368,"perTaskUsd":0.000037,"estimatedCostPerTaskUsd":0.000037,"formula":"((4,000 tokens * $0.008/1M) * 1,000 tasks) * 1.15 overhead","assumptions":"1,000 agent tasks @ 4k input + 1k output tokens/task with 1.15x retry/tool-call overhead."},"freeAlternatives":[{"id":"cerebras-free-trial","name":"Cerebras free trial credits","kind":"free_inference","providerId":"cerebras","jtbdIds":["ultra-low-latency","cheap-volume-llm"],"whatYouGet":"$5 in free credits after adding a verified payment method; they expire 30 days after they're granted and can be used across all public models (Shared Inference). When they run out or expire, API and Playground access stop until you purchase credits.","cost":"credits_not_free_forever","limits":{"creditsUsd":5,"expiresDaysAfterGrant":30,"requiresVerifiedPaymentMethod":true,"models":{"gpt-oss-120b":{"rpm":5,"uncachedTpm":30000,"totalTpm":90000,"tph":1000000,"tpd":1000000},"qwen-3.8-27b":{"rpm":5,"uncachedTpm":30000,"totalTpm":90000,"tph":1000000,"tpd":1000000}}},"sourceUrl":"https://inference-docs.cerebras.ai/support/rate-limits","notes":"Rate-limits page fetched twice 2026-10-24 about 10 s apart (identical HTML; the page shows no last-updated date); the page's markdown view (rate-limits.md) was also fetched twice (identical) and its Free Trial table has the same values. Quotes below match the HTML text (curly apostrophes shown straight). Free Trial table (HTML text): 'gpt-oss-120b 5 30K 90K 1M 1M' and 'qwen-3.8-27b 1 5 30K 90K 1M 1M' (the second '1' is the image-limit footnote marker; columns RPM, Uncached TPM, Total TPM, TPH, TPD); K/M suffixes expanded (30K=30000, 90K=90000, 1M=1000000). The table lists exactly these two models. qwen-3.8-27b footnote: 'Image limits: 2 per request, 10 MiB total request payload'. The page says: 'New accounts receive $5 in free credits after adding a verified payment method. These credits expire 30 days after they're granted and can be used across all public models.' 'If you skip adding a payment method at sign-up, Playground and API access remain inactive until you do.' 'Is there a permanently free tier? No.' 'Cerebras doesn't currently offer a no-cost tier that renews automatically or a per-model always-free allowance.' 'This provides an overview of general limits, though specific cases may vary.' 'Rate limits apply at the organization level, not the user level, and vary based on the model.' Developer (Pay as You Go) values are not stored on this free row (a paid tier); since v0.12.129 they are in the plan-limits table (data/limits.json, cerebras / Developer (Pay as You Go)). All stored values re-confirmed unchanged on 2026-10-24. Not a Depot price-sort input.","license":null,"asOf":"2026-10-24","freeType":"free_inference","substitutable":true},{"id":"cloudflare-workers-ai-neurons","name":"Cloudflare Workers AI daily neurons","kind":"free_inference","providerId":"cloudflare-workers-ai","jtbdIds":["cheap-volume-llm","edge-llm-inference","budget-open-inference"],"whatYouGet":"10,000 Neurons per day at no charge on Workers Free and Workers Paid. Workers Free cannot buy more. The pool is shared across models.","cost":"free","limits":{"neuronsPerDay":10000,"resets":"00:00 UTC","sharedAcrossModels":true},"sourceUrl":"https://developers.cloudflare.com/workers-ai/platform/pricing/","notes":"Fetched twice 2026-10-25 about 10 s apart without logging in (HTTP 200, no redirect, identical HTML; the page shows 'Last updated Oct 20, 2026'). 'Our free allocation allows anyone to use a total of 10,000 Neurons per day at no charge.' 'To use more than 10,000 Neurons per day, you need to sign up for the Workers Paid plan.' Free allocation table: 'Workers Free 10,000 Neurons per day N/A - Upgrade to Workers Paid' and 'Workers Paid 10,000 Neurons per day $0.011 / 1,000 Neurons'. 'All limits reset daily at 00:00 UTC.' Paid usage above the allocation is a price row, not a free cap. 'Some models require a paid billing method.' The page lists @cf/moonshotai/kimi-k2.6, @cf/moonshotai/kimi-k2.7-code, @cf/zai-org/glm-5.2, @cf/zai-org/glm-5.3, @cf/zai-org/glm-5.3-flash, @cf/deepseek-ai/deepseek-v4-flash-0731, @cf/deepseek-ai/deepseek-v4.1-flash-1017 and @cf/deepseek-ai/deepseek-v4-pro-0813 ('You can access these models with either the Workers Paid plan or prepaid AI Gateway credits'); these are not free. Per-model token prices are not a $0 SKU.","license":null,"asOf":"2026-10-25","freeType":"free_inference","substitutable":true},{"id":"gemini-api-free-tier-standard","name":"Gemini API free tier, standard token price","kind":"free_inference","providerId":"google-ai","jtbdIds":["cheap-volume-llm","coding-agent","frontier-chat"],"whatYouGet":"Standard input and output marked Free of charge for models whose free-tier cell says that. Includes gemini-3.8-flash, gemini-3.6-flash, gemini-3.5-flash-lite, gemini-3.1-flash-lite, gemini-3-flash-preview, gemini-2.5-pro, gemini-2.5-flash, and gemini-2.5-flash-lite.","cost":"free_tier_unspecified","sourceUrl":"https://ai.google.dev/gemini-api/docs/pricing","notes":"Pricing page fetched twice 2026-10-24 (identical text; page footer 'Last updated 2026-10-22 UTC'): the Free tier card lists 'Limited access to certain models' and 'Free input & output tokens'; each listed model's Standard Free Tier input and output cells read 'Free of charge'. gemini-3.7-flash and gemini-3.5-flash, listed in this row before 0.12.96, no longer appear on the page, so they were removed rather than kept unsourced. 'Gemini 4 Argon is not available on the Free tier.' and gemini-3.1-pro-preview standard free-tier cells read 'Not available'. Batch free-tier cells read 'Not available' for several of these models (gemini-3.8-flash, gemini-3-flash-preview, gemini-2.5-pro, gemini-2.5-flash). Image-generation free-tier cells fetched were Not available. The Free tier card says 'Content used to improve our products'. https://ai.google.dev/gemini-api/docs/rate-limits (fetched twice 2026-10-24, identical text, 'Last updated 2026-10-15 UTC') publishes no free-tier RPM, TPM or RPD and says 'View your active rate limits in AI Studio', so limits stay null. Not a $0 price-sort row. The page describes gemini-3.8-flash as 'engineered for long-horizon software engineering' and gemini-2.5-pro as 'A Pro model which excels at coding and complex reasoning tasks.' Re-checked 2026-10-26 (v0.12.131): stored quotes still match. https://ai.google.dev/gemini-api/docs/pricing and https://ai.google.dev/gemini-api/docs/rate-limits were each fetched twice (~10 s apart, plain curl, no login, following redirects): HTTP 200, no redirect, HTML differs only inside inline scripts, tag-stripped text identical; both footers now read 'Last updated 2026-10-26 UTC'. Every quote above string-matched the whitespace-normalized text except the older footer stamps, which are fetch-date stamps, not row values; the eight listed models' Standard free-tier input cells still read 'Free of charge', and gemini-3.7-flash and gemini-3.5-flash are still absent; values unchanged (Depot data decision to re-date only, approvalRef 'Ethan delegation 2026-10-21 19:41 ET t55u', decidedBy Agent Depo).","limits":null,"license":null,"asOf":"2026-10-26","freeType":"free_inference","substitutable":true},{"id":"groq-free-plan-chat","name":"Groq Free Plan chat models","kind":"free_inference","providerId":"groq","jtbdIds":["cheap-volume-llm","ultra-low-latency","open-model-inference"],"whatYouGet":"Organization-level Free Plan rate limits for the chat and classifier model ids in the page payload key freeRows. Not the Developer plan table.","cost":"free","limits":{"scope":"organization","models":{"openai/gpt-oss-120b":{"rpm":30,"rpd":1000,"tpm":8000,"tpd":200000},"openai/gpt-oss-20b":{"rpm":30,"rpd":1000,"tpm":8000,"tpd":200000},"openai/gpt-oss-safeguard-20b":{"rpm":3,"rpd":1000,"tpm":2000,"tpd":200000},"qwen/qwen3.8-27b":{"rpm":30,"rpd":1000,"tpm":8000,"tpd":200000},"meta-llama/llama-prompt-guard-2-22m":{"rpm":30,"rpd":14400,"tpm":15000,"tpd":500000},"meta-llama/llama-prompt-guard-2-86m":{"rpm":30,"rpd":14400,"tpm":15000,"tpd":500000}}},"sourceUrl":"https://console.groq.com/docs/rate-limits","notes":"Rate-limits page fetched twice 2026-10-24 about 10 s apart (identical HTML; the page shows no last-updated date). Parsed from the HTML payload key freeRows (the 'Free Plan Limits' tab), which is separate from devRows (Developer plan, not stored). K suffixes expanded (1K=1000, 2K=2000, 14.4K=14400). The page says: 'The following is a high level summary and there may be exceptions to these limits.' and 'You can view the current, exact rate limits for your organization on the limits page in your account settings.' 'Rate limits apply at the organization level, not individual users.' 'Cached tokens do not count towards your rate limits.' The page also says 'some organizations are also subject to separate per-minute limits on input tokens (ITPM) and output tokens (OTPM)'; no ITPM/OTPM values are published, so none are stored. Change on 2026-10-24: freeRows now reads 'openai/gpt-oss-safeguard-20b 3 1K 2K 200K' (RPM 3, TPM 2K); before 0.12.98 this row stored RPM 30 and TPM 8000 for it. The other five model ids and their values are unchanged. No Llama chat model is in freeRows.","license":null,"asOf":"2026-10-24","freeType":"free_inference","substitutable":true},{"id":"mistral-free-mode","name":"Mistral Studio free mode","kind":"free_inference","providerId":"mistral","jtbdIds":["cheap-volume-llm","eu-sovereign-llm"],"whatYouGet":"Free mode lets you create API keys and use included monthly usage within the limits shown on the Limits page (Admin Panel > API > Limits). The docs publish no numeric free allowance; Pay-as-you-go extends usage beyond the included monthly usage from prepaid credits.","cost":"free_tier_unspecified","sourceUrl":"https://docs.mistral.ai/admin/billing-usage/usage-limits","notes":"The old sourceUrl https://docs.mistral.ai/admin/user-management-finops/tier now returns HTTP 308 to https://docs.mistral.ai/admin/billing-usage/usage-limits (page title 'Usage and limits'), which carries the same Free mode statement; sourceUrl updated to the final URL. Page fetched twice 2026-10-24 about 10 s apart (HTTP 200, identical HTML; the page shows no last-updated date); its markdown view (usage-limits.md) was also fetched twice (identical). Quotes below match the HTML text (link markup removed). 'Your Mistral plan defines the included monthly usage and limits available to your Organization.' 'Free mode lets you create API keys and use included monthly usage within the limits shown on the Limits page.' 'Pay-as-you-go lets you extend usage beyond included monthly usage, and this extra usage draws from your prepaid credits. It isn't a separate plan for the API.' 'API rate limits define how much traffic your Organization can send.' 'If the Organization reaches its monthly spending limit, API access can be suspended until the next month begins or an admin increases the limit.' limits stays null: the page publishes no numeric free cap, rate limit or included-usage amount (it only says completion limits are listed per model as tokens per minute and requests per second on the account Limits page). The Ambassador credits and 'free for a limited amount of time' wording noted on 2026-10-03 no longer appears on this page.","limits":null,"license":null,"asOf":"2026-10-24","freeType":"free_inference","substitutable":true},{"id":"openrouter-free-variants","name":"OpenRouter :free variants and openrouter/free","kind":"free_inference","providerId":"openrouter","jtbdIds":["cheap-volume-llm","multi-model-router","budget-open-inference"],"whatYouGet":"Model ids ending in :free, and the openrouter/free router, are priced at zero on OpenRouter. Which models have a free entry changes.","cost":"free","sourceUrl":"https://openrouter.ai/docs/api_reference/limits","notes":"Fetched twice 2026-10-25 about 10 s apart without logging in: https://openrouter.ai/docs/api/reference/limits answers HTTP 308 to https://openrouter.ai/docs/api_reference/limits (HTTP 200; same tag-stripped text both times; no last-modified header; page metadata dateModified 2026-10-10T16:11:54Z). The HTML table cells are empty until scripts run (the page defines the values as constants), so the numbers are taken from the page's markdown view https://openrouter.ai/docs/api_reference/limits.md (HTTP 200, fetched twice, identical): 'Free usage limits: If you're using a free model variant (with an ID ending in `:free`), the following limits apply:' table 'Credits purchased (all time) | Requests per minute | Requests per day', 'Less than 10 | 20 | 50', 'At least 10 | 20 | 1000'. 'Free-model requests allowed per UTC day (see the free usage limits below)'. 'On free variants, purchase at least 10 credits to raise your daily limit, or switch to the paid variant of the model, which has no platform-level request cap.' 'If your account has a negative credit balance, you may see errors, including for free models.' (the HTML renders the status code as a component: 402 Payment Required). The one-credit-below-threshold grace is shown only as the unrendered placeholder '{FREE_MODEL_CREDITS_THRESHOLD - 1}', so it is not stored. The page does not say whether openrouter/free draws on the same caps. Third-party tables were not copied. Do not copy OpenRouter prices or limits onto other Depot providers.","limits":{"appliesTo":"model variants with an ID ending in :free","requestsPerMinute":20,"requestsPerDayCreditsPurchasedLessThan10":50,"requestsPerDayCreditsPurchasedAtLeast10":1000,"dailyWindow":"UTC day"},"license":null,"asOf":"2026-10-25","freeType":"free_inference","substitutable":true}],"referenceDocs":[],"falsification":{"jtbdId":"cheap-volume-llm","jtbdName":"High-volume cheap LLM inference","currentPickId":"fireworks","currentPickScore":8.35,"challengerId":"together","challengerScore":8.2,"currentScoreGap":0.15,"minVerifiedOutcomes":10,"requiredOutcomeMargin":0.3,"requiredSuccessRateDelta":0.15,"maxPickPriceIncreasePct":25,"whatWouldChangePick":["Together AI (together) outperforms Fireworks AI (fireworks) by >= 0.3 outcome points (or >= 15% worked-rate delta) across >= 10 Countersign-verified production outcomes.","A verified price increase > 25% on Fireworks AI's representative SKU for cheap-volume-llm without a corresponding capability gain.","Live caller rail exhaustion (?exhausted=fireworks) or sustained >= 30% degraded/failed rate in verified production outcomes."],"frozenHoldoutPolicy":{"holdoutSplit":"20% frozen benchmark holdout tasks + 80% live production outcome receipts","requireCountersignReceipt":true,"requiredEvidenceTiers":["outcome_verified","reference_checked"],"minDistinctContributors":2,"antiGamingRule":"Unverified self-reports and seed/editorial rows never mutate picks or scores."},"triggers":[{"kind":"verified_outcomes_outperformance","challengerId":"together","minVerifiedOutcomes":10,"requiredOutcomeMargin":0.3,"requiredWorkedRateDelta":0.15},{"kind":"verified_price_increase","providerId":"fireworks","maxPriceIncreasePct":25},{"kind":"live_rail_exhaustion_or_degradation","providerId":"fireworks","immediateOverrideUrl":"/api/decide?jtbd=cheap-volume-llm&exhausted=fireworks"}],"submissionSpec":{"falsifyEndpoint":"/api/falsify?jtbd=cheap-volume-llm","outcomesEndpoint":"POST /api/feedback","correctionsEndpoint":"POST /api/corrections","payloadTemplate":{"agentIdentity":"agent:<your-agent-id>","jtbdId":"cheap-volume-llm","providerId":"together","outcome":"worked","detail":"Comparative production evaluation on cheap-volume-llm (n>=10 tasks) with Countersign receipt.","confidence":"high","receipt":{"countersign":{"claim_id":"cs-00000000","status":"verified","evidence_tier":"outcome_verified","counts_as_verified":true}}}}},"whatWouldChangePick":["Together AI (together) outperforms Fireworks AI (fireworks) by >= 0.3 outcome points (or >= 15% worked-rate delta) across >= 10 Countersign-verified production outcomes.","A verified price increase > 25% on Fireworks AI's representative SKU for cheap-volume-llm without a corresponding capability gain.","Live caller rail exhaustion (?exhausted=fireworks) or sustained >= 30% degraded/failed rate in verified production outcomes."],"routePlan":{"jtbdId":"cheap-volume-llm","primary":{"providerId":"fireworks","name":"Fireworks AI","overall":8.35,"scoreBand":{"low":7.7,"mid":8.3,"high":8.9,"halfWidth":0.6,"basis":"editorial_prior","display":"7.7–8.9 (editorial prior)"},"scoreLayers":{"editorialPrior":8.35,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","role":"primary","reason":"Editorial Depot Pick for High-volume cheap LLM inference; healthy/eligible under caller constraints."},"fallback":[{"providerId":"together","name":"Together AI","overall":8.2,"scoreBand":{"low":7.6,"mid":8.2,"high":8.8,"halfWidth":0.6,"basis":"editorial_prior","display":"7.6–8.8 (editorial prior)"},"scoreLayers":{"editorialPrior":8.2,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","role":"fallback","reason":"Ranked fallback route for High-volume cheap LLM inference."},{"providerId":"groq","name":"Groq","overall":7.95,"scoreBand":{"low":7.4,"mid":8,"high":8.6,"halfWidth":0.6,"basis":"editorial_prior","display":"7.4–8.6 (editorial prior)"},"scoreLayers":{"editorialPrior":7.95,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","role":"fallback","reason":"Ranked fallback route for High-volume cheap LLM inference."},{"providerId":"deepinfra","name":"DeepInfra","overall":7.95,"scoreBand":{"low":7.4,"mid":8,"high":8.6,"halfWidth":0.6,"basis":"editorial_prior","display":"7.4–8.6 (editorial prior)"},"scoreLayers":{"editorialPrior":7.95,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","role":"fallback","reason":"Ranked fallback route for High-volume cheap LLM inference."},{"providerId":"deepseek","name":"DeepSeek","overall":7.95,"scoreBand":{"low":7.4,"mid":8,"high":8.6,"halfWidth":0.6,"basis":"editorial_prior","display":"7.4–8.6 (editorial prior)"},"scoreLayers":{"editorialPrior":7.95,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-03","editorialPriorAsOf":"2026-09-14","role":"fallback","reason":"Ranked fallback route for High-volume cheap LLM inference."},{"providerId":"google-ai","name":"Google AI (Gemini)","overall":8.43,"scoreBand":{"low":7.8,"mid":8.4,"high":9,"halfWidth":0.6,"basis":"editorial_prior","display":"7.8–9.0 (editorial prior)"},"scoreLayers":{"editorialPrior":8.43,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-10-19","role":"fallback","reason":"Ranked fallback route for High-volume cheap LLM inference."},{"providerId":"dashscope","name":"Alibaba Cloud Model Studio (DashScope)","overall":7.86,"scoreBand":{"low":7.3,"mid":7.9,"high":8.5,"halfWidth":0.6,"basis":"editorial_prior","display":"7.3–8.5 (editorial prior)"},"scoreLayers":{"editorialPrior":7.86,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","role":"fallback","reason":"Ranked fallback route for High-volume cheap LLM inference."},{"providerId":"zai","name":"Z.AI (Zhipu GLM)","overall":7.79,"scoreBand":{"low":7.2,"mid":7.8,"high":8.4,"halfWidth":0.6,"basis":"editorial_prior","display":"7.2–8.4 (editorial prior)"},"scoreLayers":{"editorialPrior":7.79,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","role":"fallback","reason":"Ranked fallback route for High-volume cheap LLM inference."},{"providerId":"chutes","name":"Chutes","overall":7.29,"scoreBand":{"low":6.7,"mid":7.3,"high":7.9,"halfWidth":0.6,"basis":"editorial_prior","display":"6.7–7.9 (editorial prior)"},"scoreLayers":{"editorialPrior":7.29,"measuredBenchmark":null,"verifiedOutcomeScore":null,"verifiedOutcomeCount":0,"accountRuntimeState":"unprobed"},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","role":"fallback","reason":"Ranked fallback route for High-volume cheap LLM inference."}],"disqualified":[],"expectedRegret":{"scoreDeltaVsUnconstrainedPick":0,"unconstrainedPickId":"fireworks","activePrimaryId":"fireworks","summary":"0.00 score regret: unconstrained editorial pick satisfies all caller constraints."},"evidenceAgeDays":{"editorialScoreAgeDays":43,"pricingVerifiedAgeDays":0,"editorialPriorAsOf":"2026-09-14","pricingLastVerifiedAt":"2026-10-27"},"confidenceBand":{"low":7.7,"mid":8.3,"high":8.9,"halfWidth":0.6,"basis":"editorial_prior","display":"7.7–8.9 (editorial prior)"},"constraintsApplied":false,"constraintBundle":{"task":null,"jtbd":"cheap-volume-llm","quotaExhausted":[],"degraded":[],"healthy":[],"budgetUsd":null,"maxLatencyMs":null,"region":null,"privacy":null,"exit":[],"existing":[]}},"pricingLastVerifiedAt":"2026-10-27","editorialPriorAsOf":"2026-09-14","tie":false,"scoreGap":0.15,"decidingFactor":null,"tieNote":null,"rationale":"pricePerf + reliability + dx. Open-model hosts win; Gemini Flash also excellent closed-model value.","whenNotTopPick":"Need absolute lowest latency on a supported model (Groq/Cerebras) or compliance requires Bedrock/Azure.","skipTopPick":false,"skipReason":null,"matchedConstraints":[],"pricingSummary":"Serverless per-token + on-demand GPU; day-0 OSS model support; post-training stack. Free credits often available.","cite":"Depot Pick for cheap-volume-llm: fireworks (asOf 2026-09-14). See GET /api/jtbds/cheap-volume-llm + GET /api/methodology.","nextActions":[{"step":1,"title":"Inspect full JTBD + embeds","href":"/api/jtbds/cheap-volume-llm?embed=providers","why":"Confirm pick, runners-up, and methodology notes."},{"step":2,"title":"Quote sourced SKUs","href":"/api/quote?jtbd=cheap-volume-llm","why":"Depot Pick SKUs plus the cheapest sourced SKU whose unit matches this job. Does not change the pick. Does not blend input and output or borrow a chat rate for a non-chat job."},{"step":3,"title":"Open provider detail","href":"/api/providers/fireworks","why":"Scores, pricingNotes, strengths/weaknesses, communitySignals (claims only)."},{"step":4,"title":"Cite methodology","href":"/api/methodology","why":"Required when publishing a Depot Pick citation."},{"step":5,"title":"Grab badge SVG","href":"/api/badge?type=depot-pick&jtbd=cheap-volume-llm","why":"Embed in README / agent passport."},{"step":6,"title":"Post production insight","method":"POST","href":"/api/insights","why":"Unverified until curated; never auto-mutates official scores."}],"honesty":["Do not invent scores or benches.","Insights are claims until curated/reviewed; they never silently mutate official scores.","lockInRisk higher = more lock-in (worse).","normalizedUsdPerMillionTokens is set only for a single sourced token row. Otherwise null, with a machine-readable reason. Do not coerce GPU, minute, or per-1k search units.","Runners-up are not Depot Picks.","Depot overall is editorial_weighted, not Arena Elo and not an Artificial Analysis index."],"asOf":"2026-09-14","depth":{"whenNotToUse":{"text":"Need absolute lowest latency on a supported model (Groq/Cerebras) or compliance requires Bedrock/Azure.","source":"editorial `whenNotTopPick` (data/jtbds.json)"},"whenNotToUseReason":null,"runnerUp":{"providerId":"together","name":"Together AI","overallForJob":8.2,"pickOverallForJob":8.35,"beatsPickOn":["pricePerformance","maturity"],"source":"first resolvable entry of the job's editorially ranked `runnersUpIds`; scores are stored job-weighted scores"},"runnerUpReason":null,"lockIn":{"pickLockInRisk":3.5,"runnerUpLockInRisk":3.5,"scale":"0–10 stored curated estimate; higher = more lock-in (worse)","pickExitSignals":["serves open-weight models (provider tag `open-models`)"],"runnerUpExitSignals":["serves open-weight models (provider tag `open-models`)"],"pickNotes":[],"selfHostFallback":[],"migration":"Pick exit signals: serves open-weight models (provider tag `open-models`).","migrationReason":null,"derivedFrom":"stored lockInRisk scores, provider tags (oss, self-host, openai-compat, open-models), free rows that list this job, and verbatim provider notes. No migration guide was invented."}},"citation":{"text":"Agent Provider Depot (v0.12.151), Depot Pick for cheap-volume-llm: fireworks, scores as of 2026-09-14, retrieved 2026-10-27. https://getagentdepot.com/jtbds/cheap-volume-llm","markdown":"[Agent Provider Depot](https://getagentdepot.com/jtbds/cheap-volume-llm) (v0.12.151) — Depot Pick for `cheap-volume-llm`: **fireworks** (scores as of 2026-09-14, retrieved 2026-10-27)","fields":{"publisher":"Agent Provider Depot","version":"0.12.151","role":"depot_pick","jtbdId":"cheap-volume-llm","providerId":"fireworks","scoreAsOf":"2026-09-14","retrievedOn":"2026-10-27","page":"https://getagentdepot.com/jtbds/cheap-volume-llm","api":"https://getagentdepot.com/api/decide?jtbd=cheap-volume-llm"},"howToCite":"Cite Depot as an editorial, dated recommendation, not a benchmark: name the job, the Depot Pick (or runner-up), the score asOf date and the day you retrieved it, and link the job page. Format: “Agent Provider Depot (v{version}), Depot Pick for {jobId}: {providerId}, scores as of {scoreAsOf}, retrieved {retrievedOn}. {baseUrl}/jtbds/{jobId}”. Quote prices only with their own sourceUrl and asOf. If the pick's score is stale (freshness.pick.score.stale), say so."},"freshness":{"pick":{"score":{"asOf":"2026-09-14","ageDays":43,"stale":true,"staleAfterDays":30,"reason":null},"lastReviewed":{"asOf":"2026-09-14","ageDays":43,"stale":true,"staleAfterDays":30,"reason":null},"sourceCheck":{"checkedAt":"2026-10-27","sourceUrls":2,"sourcesReachable":2,"pricingRows":10,"pricingRowsReconfirmed":6,"note":"A source re-check confirms the page is reachable and, for pricing rows, that the stored amount and SKU name appear on it. It does not re-derive or change the score.","reason":null}},"scoreAsOf":"2026-09-14","editorialPriorAsOf":"2026-09-14","pricingLastVerifiedAt":"2026-10-27","pickLastReviewed":"2026-09-14","runnersUpScoreAsOf":["2026-09-14","2026-09-14","2026-09-14","2026-09-14","2026-10-19","2026-09-14","2026-09-14","2026-09-14"],"contractAsOf":"2026-10-03","pricingShape":"sourced_rows","normalizedUsdPerMillionTokens":null,"normalizationStatus":"ambiguous","normalizationReason":"multiple_sourced_token_skus"},"pricingContract":{"normalizedUsdPerMillionTokens":null,"normalizationStatus":"ambiguous","normalizationReason":"multiple_sourced_token_skus","shape":"sourced_rows","filterable":false,"priceSortEligible":false,"priceSortKeyUsdPerMillionInputTokens":null,"rows":[{"id":"fireworks-embed-to-150m","providerId":"fireworks","sku":"Embeddings up to 150M params","unit":"usd_per_million_input_tokens","amountUsd":0.008,"currency":"USD","sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-03","normalizationStatus":"sourced_token_price","normalizedUsdPerMillionTokens":0.008,"normalizationReason":"embedding_sku_excluded_from_provider_sort","priceSortEligible":false,"qualifier":"parameter-count bucket, not a named chat model"},{"id":"fireworks-embed-150-350m","providerId":"fireworks","sku":"Embeddings 150M-350M params","unit":"usd_per_million_input_tokens","amountUsd":0.016,"currency":"USD","sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-03","normalizationStatus":"sourced_token_price","normalizedUsdPerMillionTokens":0.016,"normalizationReason":"embedding_sku_excluded_from_provider_sort","priceSortEligible":false,"qualifier":"parameter-count bucket"},{"id":"fireworks-embed-qwen3-8b","providerId":"fireworks","sku":"Qwen3 8B","unit":"usd_per_million_input_tokens","amountUsd":0.1,"currency":"USD","sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-03","normalizationStatus":"sourced_token_price","normalizedUsdPerMillionTokens":0.1,"normalizationReason":"embedding_sku_excluded_from_provider_sort","priceSortEligible":false,"qualifier":"listed in the embeddings section after the parameter buckets"},{"id":"fireworks-train-lora-sft-to-16b","providerId":"fireworks","sku":"Managed training LoRA SFT up to 16B","unit":"usd_per_million_train_tokens","amountUsd":0.5,"currency":"USD","sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-03","normalizationStatus":"sourced_token_price","normalizedUsdPerMillionTokens":0.5,"normalizationReason":"training_token_price_not_inference","priceSortEligible":false,"qualifier":"per 1M training tokens"},{"id":"fireworks-gpu-h100","providerId":"fireworks","sku":"H100 80 GB","unit":"usd_per_gpu_hour","amountUsd":8,"currency":"USD","sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-27","normalizationStatus":"unit_mismatch","normalizedUsdPerMillionTokens":null,"normalizationReason":"unit_mismatch_gpu_hour","priceSortEligible":false,"qualifier":"on-demand deployments; per-minute column also shown and not converted; reconfirmed 2026-10-27 (v0.12.139): page says 'Region-restricted deployments are priced at a 1.5x premium' (not stored as a separate row)"},{"id":"fireworks-gpu-h200","providerId":"fireworks","sku":"H200 141 GB","unit":"usd_per_gpu_hour","amountUsd":8,"currency":"USD","sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-27","normalizationStatus":"unit_mismatch","normalizedUsdPerMillionTokens":null,"normalizationReason":"unit_mismatch_gpu_hour","priceSortEligible":false,"qualifier":"on-demand deployments; per-minute column also shown and not converted; reconfirmed 2026-10-27 (v0.12.139): page says 'Region-restricted deployments are priced at a 1.5x premium' (not stored as a separate row)"},{"id":"fireworks-gpu-b200","providerId":"fireworks","sku":"B200 180 GB","unit":"usd_per_gpu_hour","amountUsd":13,"currency":"USD","sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-27","normalizationStatus":"unit_mismatch","normalizedUsdPerMillionTokens":null,"normalizationReason":"unit_mismatch_gpu_hour","priceSortEligible":false,"qualifier":"on-demand deployments; per-minute column also shown and not converted; reconfirmed 2026-10-27 (v0.12.139): page says 'Region-restricted deployments are priced at a 1.5x premium' (not stored as a separate row)"},{"id":"fireworks-gpu-b300","providerId":"fireworks","sku":"B300 288 GB","unit":"usd_per_gpu_hour","amountUsd":15,"currency":"USD","sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-27","normalizationStatus":"unit_mismatch","normalizedUsdPerMillionTokens":null,"normalizationReason":"unit_mismatch_gpu_hour","priceSortEligible":false,"qualifier":"on-demand deployments; per-minute column also shown and not converted; reconfirmed 2026-10-27 (v0.12.139): page says 'Region-restricted deployments are priced at a 1.5x premium' (not stored as a separate row)"},{"id":"fireworks-gpu-gb300","providerId":"fireworks","sku":"GB300 288 GB","unit":"usd_per_gpu_hour","amountUsd":20,"currency":"USD","sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-27","normalizationStatus":"unit_mismatch","normalizedUsdPerMillionTokens":null,"normalizationReason":"unit_mismatch_gpu_hour","priceSortEligible":false,"qualifier":"on-demand deployments; per-minute column also shown and not converted; reconfirmed 2026-10-27 (v0.12.139): page says 'Region-restricted deployments are priced at a 1.5x premium' (not stored as a separate row)"},{"id":"fireworks-serverless-chat-unavailable","providerId":"fireworks","sku":"serverless chat models","unit":"usd_per_million_input_tokens","amountUsd":null,"currency":"USD","sourceUrl":"https://fireworks.ai/pricing","asOf":"2026-10-03","normalizationStatus":"ambiguous","normalizedUsdPerMillionTokens":null,"normalizationReason":"page_points_elsewhere_for_serverless_chat_matrix","priceSortEligible":false,"qualifier":"fireworks.ai/pricing says to visit full pricing documentation for Standard/Priority/Fast serverless token rates. Those figures were not on this page and were not guessed."}],"notesExcerpt":"Serverless per-token + on-demand GPU; day-0 OSS model support; post-training stack. Free credits often available.","notesCheck":{"status":"no_known_contradiction","pairs":[],"review":null,"note":null},"lastReviewed":"2026-09-14","scoreAsOf":"2026-09-14","website":"https://fireworks.ai","doNotParse":"Do not parse pricingNotes. Use rows only. normalizedUsdPerMillionTokens is a single number only when this provider has exactly one sourced token row. Input/output, context tiers, and non-token units stay null at this level.","gap":"Partial coverage. Providers without a fetched SKU are omitted. See GET /api/pricing."},"links":{"jtbd":"/jtbds/cheap-volume-llm","jtbdApi":"/api/jtbds/cheap-volume-llm","leaderboard":"/api/leaderboards?jtbd=cheap-volume-llm","methodology":"/api/methodology","badge":"/api/badge?type=depot-pick&jtbd=cheap-volume-llm","decide":"/api/decide?jtbd=cheap-volume-llm","humanPage":"/jtbds/cheap-volume-llm","alternatives":"/api/alternatives?provider=fireworks","canonical":"/api/canonical","quote":"/api/quote?jtbd=cheap-volume-llm","falsify":"/api/falsify?jtbd=cheap-volume-llm"},"constraintBundle":{"task":null,"jtbd":"cheap-volume-llm","quotaExhausted":[],"degraded":[],"healthy":[],"budgetUsd":null,"maxLatencyMs":null,"region":null,"privacy":null,"exit":[],"existing":[]},"stackContext":{"host":null,"framework":null,"repo":null,"lang":null,"existing":[],"volume":null,"sender":null,"detectedFromTask":[]},"keep":null,"contextAdvice":null,"communityFeedback":{"pickOnThisJob":{"failed":0,"degraded":0,"worked":0,"insights":1,"withVerifiedReceipt":0,"failureModes":{},"latestAt":"2026-09-12T10:15:00.000Z","note":"Agent-reported claims (unverified unless a receipt is verified by Depot's re-check). 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