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Fireworks AI

Plans and prices

Enterprise reserved instance

Priced on request

Reserved GPUs; multi-region deployments, custom optimizations, better performance, and BYOC compatibility

Managed training

Priced on request

LoRA SFT, LoRA DPO, Full Param SFT, and Full Param DPO; rates range by model size

On-demand deployments

Priced on request

H100 and H200: $0.134/minute or $8.00/hour; B200: $0.217/minute or $13.00/hour; B300: $0.250/minute or $15.00/hour; GB300: $0.334/minute or $20.00/hour

Serverless inference — embeddings

Priced on request

Prices vary by embedding model parameter count

Every plan, in full

On the record

Access controls
The enterprise platform supports role-based access controls for sharing models, data, and deployments.fireworks.ai · read 7 Oct 2026
API compatibility
The serverless inference API is described as compatible with OpenAI and Anthropic APIs.fireworks.ai · read 7 Oct 2026
Deployments
Deployment choices include serverless, on-demand, and reserved instances, with options to deploy in the cloud or a customer's VPC.fireworks.ai · read 7 Oct 2026
Developer tools
Fireworks offers a Build SDK and a developer toolkit for testing, building agents, and running evaluations.fireworks.ai · read 7 Oct 2026
Enterprise use cases
Listed use cases include code assistance, conversational AI, agentic systems, search, multimodal applications, and enterprise RAG.fireworks.ai · read 7 Oct 2026
Inference
Serverless inference is billed per token and offers Standard, Priority, and Fast serving paths.fireworks.ai · read 7 Oct 2026
Integrations
Enterprise customers can purchase Fireworks through AWS and GCP marketplaces, and its enterprise access supports Google, OIDC, and SAML single sign-on.fireworks.ai · read 7 Oct 2026
Notable price condition
Region-restricted on-demand deployments are priced at a 1.5x premium.fireworks.ai · read 7 Oct 2026
Pricing controls
Serverless users can enable automatic credit reloading or set a monthly spend limit.fireworks.ai · read 7 Oct 2026
Product
Fireworks describes its cloud as infrastructure for training and serving open models and specialized models.fireworks.ai · read 7 Oct 2026
Security and compliance
Fireworks states that it is HIPAA, SOC2-type2, and GDPR compliant and offers data residency and no data retention.fireworks.ai · read 7 Oct 2026
Support
Non-enterprise product support and feedback are directed to the Fireworks Discord and documentation.fireworks.ai · read 7 Oct 2026
Training
The platform supports supervised fine-tuning, preference fine-tuning, and reinforcement training.fireworks.ai · read 7 Oct 2026

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