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Deepset vs Mistral

Mistral scores higher on the AgentReady, 48/100 against 44/100. They differ on 13 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Deepset. Deepset is a company that provides Haystack, an open platform to build, run, and govern AI agents and applications.

Mistral. We help organizations build tailored AI systems to solve the world's hardest problems.

Where Deepset is ahead

Deepset passes mcp discoverable, and Mistral 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. Mistral misses it.

And on adopt, self-service signup, free trial or free allowance, cli available and mcp integration available. Mistral misses those.

Where Mistral is ahead

Mistral passes clear product positioning, public docs discoverable and llms-full.txt / full agent docs, and Deepset 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. Deepset misses it.

And on adopt, copyable quickstart and official typescript sdk. Deepset misses those.

Finally, on operate, structured, predictable output. Deepset misses it.

What neither does

Both fail openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, 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. Mistral leads 87 to 67. Deepset misses clear product positioning, public docs discoverable, llms-full.txt / full agent docs; Mistral misses mcp discoverable.

Understand. Mistral leads 31 to 23. Deepset misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Mistral misses openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Deepset leads 50 to 25. Deepset misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk; Mistral misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, cli available, mcp integration available.

Operate. Mistral leads 47 to 35. Deepset misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Mistral misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Deepset starts at $0/mo and has a free tier. Mistral does not publish one.

Signal by signal

Which to pick

Mistral clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Deepset and Mistral. Alternatives to each: Deepset, Mistral.

An agent can fetch this as data: POST /v1/compare {"slugs": ["deepset", "mistral"]}