Fireworks AI vs Modal
Fireworks AI scores higher on the AgentReady, 59/100 against 55/100. 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.
Modal. Modal provides a serverless cloud for engineers and researchers who want to build compute-intensive applications without thinking about infrastructure.
Where Fireworks AI is ahead
Fireworks AI passes clear canonical domain, and Modal 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. Modal misses those.
And on adopt, fast time to first request and copyable quickstart. Modal misses those.
Finally, on operate, structured, predictable output. Modal misses it.
Where Modal is ahead
Modal 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.
It also holds adopt: no mandatory sales call. Fireworks AI misses it.
What neither does
Both fail mcp discoverable, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, 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. Fireworks AI leads 87 to 80. Fireworks AI misses mcp discoverable; Modal misses clear canonical domain, 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; Modal misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.
Adopt. Both sit at 65/100 here. Fireworks AI misses no mandatory sales call, programmatic credential creation, mcp integration available; Modal misses programmatic credential creation, fast time to first request, copyable quickstart, mcp integration available.
Operate is whether an agent can run against it in production and recover when a call fails. Fireworks AI leads 47 to 35. Fireworks AI misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Modal 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. Modal starts at $0/mo and has a free tier.
| Fireworks AI plans | Modal plans |
|---|---|
| Serverless Inference Pay per token | Starter $0 + compute / month |
| Embeddings - up to 150M $0.008 / 1M input tokens | Team $250 + compute / month |
| Embeddings - 150M-350M $0.016 / 1M input tokens | Enterprise Custom |
| Embeddings - Qwen3 8B $0.1 / 1M input tokens | - |
| 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 | - |
| 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 | - |
| 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 | - |
| 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 | Modal |
|---|---|---|
| AgentReady | 59 | 55 |
| Discovery | 87 | 80 |
| Understanding | 38 | 38 |
| Adoption | 65 | 65 |
| Operability | 47 | 35 |
| Public API | Yes | Yes |
| MCP server | No | No |
| OpenAPI spec | Unknown | Yes |
| CLI | Yes | Yes |
| 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 Modal. Alternatives to each: Fireworks AI, Modal.
An agent can fetch this as data: POST /v1/compare {"slugs": ["fireworks", "modal"]}