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Ultra-budget open-model inference

Need the cheapest OpenAI-compatible host for high-volume open weights without caring about brand prestige.

At a glance — Oct 2026

Updated 2026-10-27 · forward this page: /jtbds/budget-open-inference#brief

Scores as of 2026-09-14 (43 days old; Depot marks scores stale after 30 days). The pick is still Depot's current editorial pick; it has not been re-reviewed since. Prices below carry their own dates.

Depot Pick
DeepInfra · 7.95/10 for this job (curated estimate, high confidence)

Overweight pricePerf. DeepInfra wins catalog+price; Novita/SiliconFlow/Hyperbolic as pure price peers.

Runner-up
Novita AI · 7.42/10

Scores higher than the pick on: Privacy / data retention.

When not to use the pick
Need Fireworks-level production features/tool calling reliability, or compliance blocks smaller hosts.
Lock-in / migration
The pick has lower stored lock-in risk than runner-up Novita AI (3 vs 3.5). Pick exit signals: serves open-weight models (provider tag `open-models`); OpenAI-compatible API (provider tag `openai-compat`). Self-host fallback listed for this job: Qwen3-0.6B-Base, DeepSeek-V3.2 weights, Ollama.
Sourced price (usd_per_million_input_tokens)

Pick's lowest sourced SKU: Llama-3.3-70B-Instruct-Turbo $0.1 (usd_per_million_input_tokens) — source, as of 2026-10-03, re-checked 2026-10-27

Cheapest matching SKU: Chutes Qwen3.8-27B (Qwen/Qwen3.8-27B-TEE) $0.039 — source, as of 2026-10-27, re-checked 2026-10-27. Not the pick; not quality-adjusted.

Price history: first seen 2026-10-03 · last changed 2026-10-19 · history JSON

Free option
  • Cloudflare Workers AI daily neurons (free) — source, as of 2026-10-25
  • DeepSeek-V3.2 weights (oss) — source, as of 2026-10-25
  • gpt-oss-20b (oss) — source, as of 2026-10-25
Failure modes to watch
  • Runaway spend: Set a budget and a tool-call cap per task. Alert when spend jumps. Stop the run at the cap instead of summarizing a partial trace as success.
Reported outcomes (submitted reports only)

This job: loading… JSON · reports never change scores · seed/test records excluded

Depot Pick (DeepInfra) on this job: loading… JSON · reports never change scores · seed/test records excluded

Same-job, same-unit comparisons: DeepInfra vs Chutes

Cite: Agent Provider Depot, Depot Pick for budget-open-inference: deepinfra, scores as of 2026-09-14. Agents: GET /api/decide?jtbd=budget-open-inference

Free Ultra-budget open-model inference options · All sourced prices, cheapest first

Depot Pick

DeepInfra

Overweight pricePerf. DeepInfra wins catalog+price; Novita/SiliconFlow/Hyperbolic as pure price peers.

Pricing (directional): 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 2…

Cite: Depot Pick for budget-open-inference: deepinfra
Overall
8.0
curated_estimate
confidence: high · as of 2026-09-14
Capability fit
8.0
Price / performance
9.4
Latency / reliability
7.5
Developer & agent DX
8.5
Privacy / data retention
6.5
Lock-in risk (higher = worse)
3.0
Maturity / track record
7.2

Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.

Sources: DeepInfra Pricing: https://deepinfra.com/pricing · DeepInfra: https://deepinfra.com · Cheapest inference providers Jul 2026: https://infrabase.ai/blog/cheapest-inference-providers

Budget open-model workhorse and one of the cheapest large-catalog hosts. Great for evals and high-volume non-critical traffic; dual-run critical paths on Fireworks/Together.

Quote for Ultra-budget open-model inference

Depot Pick stays DeepInfra. Prices below are sourced SKU rows only (as of 2026-10-27). Input and output are not blended. GET /api/quote?jtbd=budget-open-inference

Pick is not a price winner. deepinfra sourced input $/1M is 0.1; cheapest among candidates is chutes at 0.039.

  • bge-base-en-v1.5 usd_per_million_input_tokens $0.005 source as of 2026-10-03
  • Llama-3.3-70B-Instruct-Turbo usd_per_million_input_tokens $0.1 source as of 2026-10-03
  • Llama-3.3-70B-Instruct-Turbo usd_per_million_output_tokens $0.32 source as of 2026-10-03
  • A100 usd_per_gpu_hour $1.49 source as of 2026-10-20
  • B200 usd_per_gpu_hour $4.89 source as of 2026-10-20
  • B300 usd_per_gpu_hour $5.89 source as of 2026-10-20
  • H100 usd_per_gpu_hour $2.9 source as of 2026-10-20
  • H200 usd_per_gpu_hour $3.49 source as of 2026-10-20

4 of 8 candidates have no sourced price row. 4 are excluded from the Input $/1M comparison (chat_completion_input). min sourced input SKU among candidates; not quality-adjusted

Sourced Input $/1M for Ultra-budget open-model inference

Candidates for this job that already have a matching sourced price (chat_completion_input), cheapest first. As of 2026-10-27. Each figure is one SKU in that unit, not a blend of input and output, not a cross-modal rate, and not a Depot score. min sourced input SKU among candidates; not quality-adjusted The Depot Pick is not a price winner.

ProviderInput $/1MSKUSourceAs of
Chutes$0.039Qwen3.8-27B (Qwen/Qwen3.8-27B-TEE)pricing page2026-10-27
Z.AI (Zhipu GLM)$0.04GLM-4.6V-FlashXpricing page2026-10-03
DeepInfraDepot Pick$0.1Llama-3.3-70B-Instruct-Turbopricing page2026-10-03
MiniMax$0.15MiniMax-M3.1-Flashpricing page2026-10-19

Runners-up

When NOT to use the top pick

Need Fireworks-level production features/tool calling reliability, or compliance blocks smaller hosts.

Full ranking (score table)

Ranked with this JTBD's weights. Scores are curated estimates unless marked otherwise. Agents: prefer /api/decide then this table for tie-breaks.

#ProviderOverallFit$/perfLatencyDXAs of
1IONOS AI Model Hub8.07.88.48.07.82026-09-14
2DeepInfraDepot Pick8.08.09.47.58.52026-09-14
3MiniMax7.88.48.87.88.22026-09-14
4Z.AI (Zhipu GLM)7.88.29.07.68.02026-09-14
5Novita AI7.47.29.07.07.82026-09-14
6SiliconFlow7.37.49.26.87.62026-09-14
7Hyperbolic7.37.08.86.88.02026-09-14
8Chutes7.37.49.26.87.62026-09-14

Score methodology for this job

Overweight pricePerf. DeepInfra wins catalog+price; Novita/SiliconFlow/Hyperbolic as pure price peers.

  • capabilityFit: 25%
  • pricePerformance: 18%
  • latencyReliability: 15%
  • developerDx: 15%
  • privacyPosture: 10%
  • lockInRisk: 7%
  • maturity: 10%