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.
This comparison is generated from the sourced Fireworks AI and Together AI profiles. Open either profile to review its evidence and last-reviewed date.