Fireworks AI
Fireworks AI is a cloud inference platform for running open-source generative AI models.
Our verdict
Who it's for
Fast inference for open-source AI models
Who should look elsewhere
No free tier beyond the initial $1 credit for new users
Pros
- +No cold starts and automatic scaling across GPU clusters
- +$1 free credit for new users to test without commitment
- +Per-token pricing keeps costs predictable for variable workloads
- +Supports latest open-source models including DeepSeek, Qwen, and Llama
- +Fine-tuning available directly on the platform without separate tooling
Cons
- −No free tier beyond the initial $1 credit for new users
- −Pricing varies significantly by model size and type
- −On-demand GPU deployments require minimum hourly spend
- −Less suited for teams wanting managed prompt engineering or RAG pipelines
- −Smaller community and ecosystem compared to AWS Bedrock or Azure AI
Key features
- ✓Serverless inference for 400+ open-source AI models with no cold starts
- ✓Support for LLMs, image generation, vision, and audio models
- ✓Model fine-tuning with SFT, DPO, and quantization-aware training
- ✓On-demand GPU deployments on A100, H100, H200, and B200 hardware
- ✓OpenAI-compatible API for drop-in replacement workflows
- ✓Cached input token pricing at 50% discount across all text models
- ✓Distributed virtual cloud for global low-latency inference
- ✓SOC 2, HIPAA, and GDPR compliance with zero data retention option
- ✓Interactive model playground for testing before integration
- ✓SDKs, CLI tools, and REST API for developer integration
Pricing
| Plan | Price | Billing | Notes |
|---|---|---|---|
| Serverless | $0 | month | 400+ models available; No cold starts or GPU setup; Cached tokens at 50% discount |
| On-Demand Deployments | — | month | A100 80GB at $2.90/hour; H100 80GB at $4.00/hour; H200 141GB at $6.00/hour |
| Enterprise | — | month | Dedicated infrastructure; Bring-your-own-cloud deployment; Zero data retention |