Fireworks AI
Fireworks AI, Inc. · fireworks.ai · Last checked:
- Managed fine-tuning API
- Training API
- Inference deployment
Company status
Active, privately held.
Sources 1, 2, 3, 4, 5 · checked 2026-11-08
Capabilities
- Managed SFT and preference tuning (DPO/ORPO) with LoRA (rank up to 128) or full-parameter training
- Training API: write training loops in Python with custom losses; serverless trainer supports LoRA SFT, DPO, ORPO, RL, and distillation
- Managed reinforcement fine-tuning (RFT) jobs have been removed; RL now runs on the Training API
- LoRA adapters can be downloaded with firectl model download
- Trained models serve on dedicated deployments (live merge or multi-LoRA)
Sources 1, 2, 3, 4, 5 · checked 2026-11-08
Who it tends to fit
- Teams fine-tuning open models from 1B to over 300B parameters with published per-token rates
- Teams that need HIPAA (with BAA) or ISO 42001 evidence
Sources 1, 2, 3, 4, 5 · checked 2026-11-08
Pricing
Managed training per 1M training tokens: up to 16B parameters $0.50 LoRA SFT, $1.00 LoRA DPO, $1.00 full SFT, $2.00 full DPO; 16.1B-80B $3.00 / $6.00 / $6.00 / $12.00; 80B-300B $6.00 / $12.00 / $12.00 / $24.00; over 300B $10.00 / $20.00 / $20.00 / $40.00. Dedicated Training API per GPU-hour: H100 and H200 $8.00, B200 $13.00, B300 $15.00, GB300 $20.00.
Sources 1, 2, 3, 4, 5 · checked 2026-11-08
Published certifications
- SOC 2 Type II
- ISO 27001
- ISO 27701
- ISO 42001
- HIPAA (with BAA)
Listed as stated by the vendor. Scope can differ by product or subsidiary; request current reports.
Sources 1, 2, 3, 4, 5 · checked 2026-11-08
Limitations to check
- Trained models serve on dedicated deployments; serverless per-token serving of your own adapter is not available
- Managed RFT no longer accepts jobs; RL requires the Training API
- Region-restricted dedicated training costs 1.5x
Sources 1, 2, 3, 4, 5 · checked 2026-11-08
Sources
- Training prices per 1M tokens by model size (LoRA/full, SFT/DPO), GPU-hour rates; SOC 2 Type II, ISO 27001, 27701, 42001, HIPAA with BAAfireworks.ai/pricingChecked 2026-11-08
- SFT and DPO/ORPO; LoRA rank max 128; rank 0 requests full-parameter training; dedicated deployments only for trained modelsdocs.fireworks.ai/fine-tuning/fine-tuning-modelsChecked 2026-11-08
- Managed RFT removed; RL runs on the Training APIdocs.fireworks.ai/fine-tuning/reinforcement-fine-tuning-modelsChecked 2026-11-08
- Training API: Python training loops, custom losses, LoRA SFT, DPO, ORPO, RL, distillationdocs.fireworks.ai/fine-tuning/training-api/introductionChecked 2026-11-08
- LoRA adapters downloadable with firectl model download; live merge and multi-LoRA deploymentdocs.fireworks.ai/fine-tuning/deploying-lorasChecked 2026-11-08
Report a correction: [email protected]. Facts are re-checked at least every 90 days.