Fireworks AI
Top pick for production open-model serving with real DX. Prefer over random GPU DIY when you want tokens not…
Top pick for production open-model serving with real DX. Prefer over random GPU DIY when you want tokens not ops. Strengths: Fast production inference for open models; Strong fine-tune/post-train tooling; Good DX and model freshness.
Lock-in risk: higher = more lock-in (worse). Overall already inverts this dimension.
Top pick for production open-model serving with real DX. Prefer over random GPU DIY when you want tokens not ops.
Strengths
- · Fast production inference for open models
- · Strong fine-tune/post-train tooling
- · Good DX and model freshness
Weaknesses
- · Not a frontier closed-model source
- · Unit cost can exceed pure discount hosts
- · Enterprise features still maturing vs hyperscalers
Pricing notes
Serverless per-token + on-demand GPU; day-0 OSS model support; post-training stack. Free credits often available.
Sourced pricing
Contract status ambiguous · multiple_sourced_token_skus. Single normalized $/1M: null. Machine list: /api/pricing?provider=fireworks
- Embeddings up to 150M params · usd_per_million_input_tokens · $0.008 · sourced_token_price
- Embeddings 150M-350M params · usd_per_million_input_tokens · $0.016 · sourced_token_price
- Qwen3 8B · usd_per_million_input_tokens · $0.1 · sourced_token_price
- Managed training LoRA SFT up to 16B · usd_per_million_train_tokens · $0.5 · sourced_token_price
- H100 80 GB · usd_per_gpu_hour · $8 · unit_mismatch · normalized null
- H200 141 GB · usd_per_gpu_hour · $8 · unit_mismatch · normalized null
- B200 180 GB · usd_per_gpu_hour · $13 · unit_mismatch · normalized null
- B300 288 GB · usd_per_gpu_hour · $15 · unit_mismatch · normalized null
- GB300 288 GB · usd_per_gpu_hour · $20 · unit_mismatch · normalized null
- serverless chat models · usd_per_million_input_tokens · amount withheld · ambiguous · normalized null
Community signals
Insight claims only — never mutate official scores. Outside reports: 0; seed examples: 1.
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