Fireworks AI vs Groq
Groq scores higher on the AgentReady, 64/100 against 59/100. They differ on 7 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.
Groq. Groq is an AI inference company that pioneered the LPU (Language Processing Unit) and provides fast, reliable, affordable inference at scale.
Where Fireworks AI is ahead
Fireworks AI passes clear canonical domain, and Groq does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: pricing understandable. Groq misses it.
And on adopt, free trial or free allowance and cli available. Groq misses those.
Where Groq is ahead
Groq passes mcp discoverable, and Fireworks AI does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: structured api reference. Fireworks AI misses it.
And on adopt, mcp integration available. Fireworks AI misses it.
What neither does
Both fail openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, programmatic credential creation, 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. Groq leads 93 to 87. Fireworks AI misses mcp discoverable; Groq misses clear canonical domain.
Understand is whether an agent can read the docs and work out how the API behaves before calling it. Groq leads 46 to 38. Fireworks AI misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented; Groq misses openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented.
Adopt. Groq leads 70 to 65. Fireworks AI misses no mandatory sales call, programmatic credential creation, mcp integration available; Groq misses no mandatory sales call, programmatic credential creation, free trial or free allowance, cli available.
Operate. Both sit at 47/100 here. Fireworks AI misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Groq misses 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. Groq does not publish one.
| Fireworks AI plans | Groq plans |
|---|---|
| Serverless Inference Pay per token | - |
| Embeddings - up to 150M $0.008 / 1M input tokens | - |
| Embeddings - 150M-350M $0.016 / 1M input tokens | - |
| 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 | Groq |
|---|---|---|
| AgentReady | 59 | 64 |
| Discovery | 87 | 93 |
| Understanding | 38 | 46 |
| Adoption | 65 | 70 |
| Operability | 47 | 47 |
| Public API | Yes | Yes |
| MCP server | No | Yes |
| OpenAPI spec | Unknown | Yes |
| CLI | Yes | Unknown |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Unknown |
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 Groq. Alternatives to each: Fireworks AI, Groq.
An agent can fetch this as data: POST /v1/compare {"slugs": ["fireworks", "groq"]}