Fireworks AI alternatives
Top pick for production open-model serving with real DX. Prefer over random GPU DIY when you want tokens not…
Overall 8.35 (curated_estimate, high) · score asOf 2026-09-14 · last reviewed 2026-09-14. This is not an Elo and not a live price board. Provider · JSON
Jobs: cheap-volume-llm, open-model-inference, ultra-low-latency, finetune, edge-llm-inference, self-host-nim, confidential-tee-inference, synthetic-eval-data
| Provider | Why listed | Overall | Δ vs subject | asOf |
|---|---|---|---|---|
| Groq Use when latency is the product. Do not build your whole company on one Groq model SKU — they rotate. | same_jtbd_runner, same_jtbd_pick · cheap-volume-llm, open-model-inference, ultra-low-latency | 7.95high | -0.4 | 2026-09-14 |
| Together AI Best catalog breadth for OSS models. Watch minimums and lifetime spend gates before you design around a gated… | same_jtbd_runner, same_jtbd_pick · cheap-volume-llm, open-model-inference, finetune | 8.2high | -0.15 | 2026-09-14 |
| Chutes Budget open-model overflow with a now-pinned public TEE matrix. Depot open-model production pick stays… | same_jtbd_runner, same_jtbd_pick · cheap-volume-llm, open-model-inference, confidential-tee-inference | 7.29high | -1.06 | 2026-09-14 |
| Predibase Alive. Prefer when you serve dozens of LoRA adapters on shared GPUs. Together/Fireworks remain simpler… | same_jtbd_runner, same_jtbd_pick · finetune, lora-serving-distillation | 7.89medium | -0.46 | 2026-09-14 |
| Cloudflare Workers AI Best when your agent already runs on Workers and you want colocated small/open models. Not a frontier brain. | same_jtbd_pick · edge-llm-inference, wasm-edge-small-models | 7.69high | -0.66 | 2026-09-14 |
| OpenAI Default when you want maximum capability and ecosystem glue. Multi-home critical paths behind OpenAI-compat… | same_jtbd_pick · synthetic-eval-data | 8.22high | -0.13 | 2026-09-14 |
| NVIDIA NIM / NGC Choose when you self-host inference on NVIDIA GPUs and want blessed containers. For serverless tokens use… | same_jtbd_pick · self-host-nim | 7.66medium | -0.69 | 2026-10-19 |
| FriendliAI Open-model production peer when latency/tool-calling matter. Fireworks remains depot open-model default… | same_jtbd_runner · open-model-inference, ultra-low-latency, confidential-tee-inference | 8.03high | -0.32 | 2026-10-01 |
| Unsloth Depot OSS fine-tune default. Hosted LoRA → Predibase/Fireworks/Together; dead OpenPipe → do not resurrect… | same_jtbd_runner · finetune, lora-serving-distillation | 8.52high | +0.17 | 2026-09-14 |
| Google AI (Gemini) Best value frontier stack and multimodal king. Use Flash for high-volume agent loops; Pro when quality… | same_jtbd_runner · cheap-volume-llm, synthetic-eval-data | 8.43high | +0.08 | 2026-10-19 |
| OpenRouter Best multi-model router for agents that need failover and experimentation. Pin providers in production; don’t… | same_jtbd_runner · edge-llm-inference, wasm-edge-small-models | 8high | -0.35 | 2026-09-14 |
| DeepInfra Budget open-model workhorse and one of the cheapest large-catalog hosts. Great for evals and high-volume… | same_jtbd_runner · cheap-volume-llm, open-model-inference | 7.95high | -0.4 | 2026-09-14 |
Prices are not ranked on this page. For a job, use the sourced quote (separate input and output rows, Depot Pick unchanged): cheap-volume-llm, open-model-inference, ultra-low-latency, finetune.
Alternatives are other catalog providers that share a JTBD as pick or runner-up. If fewer than three exist, same-category active providers fill the list and are labeled same_category. Overall deltas are catalog scores. kind=curated_estimate is not a lab measurement. Pricing rows are sourced or explicitly null. Do not parse pricingNotes. A single normalized USD figure is set only for a provider with exactly one token row.