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Mistral vs Vespa

Vespa scores higher on the AgentReady, 56/100 against 48/100. 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

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

Vespa. Vespa.ai develops the Vespa AI Search Platform, a distributed serving engine that unifies retrieval, ranking, machine learning inference, and real-time serving for business-critical AI applications.

Where Mistral is ahead

Mistral passes structured, predictable output, and Vespa does not. That is operate, whether an agent can run against it in production and recover when a call fails.

Where Vespa is ahead

Vespa passes pricing understandable and limits / constraints documented, and Mistral 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: self-service signup, free trial or free allowance, fast time to first request and cli available. Mistral misses those.

What neither does

Both fail mcp discoverable, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, agent-compatible signup flow, 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. Both sit at 87/100 here. Mistral misses mcp discoverable; Vespa misses mcp discoverable.

Understand. Vespa leads 46 to 31. Mistral misses openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Vespa misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt is whether an agent can get a key and make its first successful call without a human in the loop. Vespa leads 55 to 25. 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; Vespa misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.

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

Pricing

Mistral does not publish a machine-readable starting price. Vespa starts at $0.05/hour with no free tier.

Mistral plansVespa plans
-Startup vCPU $0.05/hour, Memory GB $0.005/hour, Disk GB $0.0002/hour, GPU Memory GB $0.03/hour
-Basic vCPU $0.1/hour, Memory GB $0.01/hour, Disk GB $0.0004/hour, GPU Memory GB $0.07/hour
-Commercial vCPU $0.145/hour, Memory GB $0.0145/hour, Disk GB $0.0005/hour, GPU Memory GB $0.1/hour
-Enterprise vCPU $0.18/hour, Memory GB $0.018/hour, Disk GB $0.0007/hour, GPU Memory GB $0.125/hour
-Self Managed Contact Sales

Signal by signal

SignalMistralVespa
AgentReady4856
Discovery8787
Understanding3146
Adoption2555
Operability4735
Public APIYesYes
MCP serverUnknownNo
OpenAPI specYesYes
CLIUnknownYes
llms.txtYesYes
Self-serve signupUnknownYes
Free tierUnknownNo

Which to pick

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

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