Fireworks AI vs Together AI
A side-by-side comparison of capabilities, autonomy, integrations, and pricing to help you choose.
Short answer: choose Fireworks AI if you want fast inference and fine-tuning platform for open-source ai models (Assistant, usage); choose Together AI if you want cloud for running, fine-tuning, and serving open-source ai models (Assistant, usage).
| Fireworks AI | Together AI | |
|---|---|---|
| What it is | Fast inference and fine-tuning platform for open-source AI models | Cloud for running, fine-tuning, and serving open-source AI models |
| Type | platform | platform |
| Autonomy | Assistant | Assistant |
| Pricing | usage · $1 free credit; serverless per-token, on-demand GPUs from $7/hr (H100/H200) | usage · Per-token usage from ~$0.03 / 1M input tokens; GPU clusters from ~$3.29/hr reserved |
| Best for | developers, enterprise, mid-market | developers, enterprise, mid-market |
| Deployment | api, saas, on-prem | api, saas, on-prem |
| Modalities | text, code, image, voice, api | text, code, image, video, voice, api |
| Models | llama, open-source, model-agnostic | llama, open-source, model-agnostic |
| Protocols | function-calling, rest-api | function-calling, rest-api |
| Integrations | OpenAI SDK, Anthropic Messages API, LangChain, LlamaIndex, Vercel AI SDK, Hugging Face | OpenAI SDK, LangChain, LlamaIndex, Vercel AI SDK, Hugging Face |
| Capabilities | 6 documented | 6 documented |
Fireworks AI
- +Proprietary FireAttention engine and FireOptimizer marketed for fast, low-latency open-model inference
- +OpenAI- and Anthropic-compatible API makes migration nearly drop-in
- +Supervised plus reinforcement fine-tuning (RFT) up to 1T+ parameters, with Multi-LoRA hosting
- -Serves open and bring-your-own models; no proprietary frontier model of its own
- -It is an inference and fine-tuning layer, not an end-to-end agent: orchestration is on you
Together AI
- +Large catalog of open models across text, image, audio, and video
- +OpenAI-compatible API makes migration nearly drop-in
- +Full ladder from serverless to dedicated endpoints to raw GPU clusters
- -Serves open and bring-your-own models; no proprietary frontier model of its own
- -It is an inference and compute layer, not an end-to-end agent: orchestration is on you
Which should you choose?
Fireworks AI is fast inference and fine-tuning platform for open-source ai models, best for developers, enterprise, mid-market. Together AI is cloud for running, fine-tuning, and serving open-source ai models, best for developers, enterprise, mid-market. The right choice depends on the autonomy level you want, your existing integrations, and your budget, all compared above.