Fireworks AI vs Together AI
Fireworks AI scores higher on the AgentReady, 59/100 against 46/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Fireworks AI. Fireworks AI is the fastest platform for building with open source AI models, providing production-ready inference and fine-tuning with best-in-class speed, cost and quality.
Together AI. Full-stack AI platform, powered by cutting-edge research
Where Fireworks AI is ahead
Fireworks AI passes search discoverable and clear product positioning, and Together AI does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: authentication documented and limits / constraints documented. Together AI misses those.
And on adopt, agent-compatible signup flow and cli available. Together AI misses those.
Finally, on operate, structured, predictable output. Together AI misses it.
Where Together AI is ahead
Together AI passes structured api reference, and Fireworks AI does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.
What neither does
Both fail mcp discoverable, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, programmatic credential creation, mcp integration available, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. If your agent needs any of those, you will be building it yourself either way.
Score, pillar by pillar
The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.
Discover is whether an agent can find the product at all without being told it exists. Fireworks AI leads 87 to 60. Fireworks AI misses mcp discoverable; Together AI misses search discoverable, clear product positioning, mcp discoverable.
Understand. Both sit at 38/100 here. Fireworks AI misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented; Together AI misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.
Adopt. Fireworks AI leads 65 to 52. Fireworks AI misses no mandatory sales call, programmatic credential creation, mcp integration available; Together AI misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, cli available, mcp integration available.
Operate. Fireworks AI leads 47 to 35. Fireworks AI misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Together AI misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Fireworks AI does not publish a machine-readable starting price and has a free tier. Together AI starts at $0.00 and has a free tier.
| Fireworks AI plans | Together AI plans |
|---|---|
| Serverless Inference Pay per token | Serverless Inference Usage-based per 1M tokens |
| Embeddings - up to 150M $0.008 / 1M input tokens | Provisioned Throughput Custom |
| Embeddings - 150M-350M $0.016 / 1M input tokens | Dedicated Inference Custom |
| Embeddings - Qwen3 8B $0.1 / 1M input tokens | GPU Clusters Custom |
| Training - Models up to 16B LoRA SFT: $0.50, LoRA DPO: $1.00, Full Param SFT: $1.00, Full Param DPO: $2.00 per 1M training tokens | Sandbox Custom |
| Training - Models 16.1B-80B LoRA SFT: $3.00, LoRA DPO: $6.00, Full Param SFT: $6.00, Full Param DPO: $12.00 per 1M training tokens | Managed Storage Custom |
| Training - Models 80B-300B LoRA SFT: $6.00, LoRA DPO: $12.00, Full Param SFT: $12.00, Full Param DPO: $24.00 per 1M training tokens | Fine-Tuning Custom |
| Training - Models >300B LoRA SFT: $10.00, LoRA DPO: $20.00, Full Param SFT: $20.00, Full Param DPO: $40.00 per 1M training tokens | - |
| On Demand Deployments Pay per GPU second | - |
Signal by signal
| Signal | Fireworks AI | Together AI |
|---|---|---|
| AgentReady | 59 | 46 |
| Discovery | 87 | 60 |
| Understanding | 38 | 38 |
| Adoption | 65 | 52 |
| Operability | 47 | 35 |
| Public API | Yes | Yes |
| MCP server | No | No |
| OpenAPI spec | Unknown | Yes |
| CLI | Yes | Unknown |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Yes |
Which to pick
Fireworks AI clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Fireworks AI and Together AI. Alternatives to each: Fireworks AI, Together AI.
An agent can fetch this as data: POST /v1/compare {"slugs": ["fireworks", "together"]}