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Cerebras vs Vespa

Vespa scores higher on the AgentReady, 56/100 against 46/100. They differ on 11 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Cerebras. Cerebras is a company that builds AI accelerators and inference solutions powered by the Cerebras Wafer Scale Engine, offering the fastest AI inference in the industry.

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 Cerebras is ahead

Cerebras passes mcp discoverable, and Vespa does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: mcp integration available. Vespa misses it.

Where Vespa is ahead

Vespa passes clear canonical domain and llms-full.txt / full agent docs, and Cerebras 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 and pricing understandable. Cerebras misses those.

And on adopt, self-service signup, free trial or free allowance, fast time to first request, copyable quickstart and cli available. Cerebras misses those.

What neither does

Both fail 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, structured, predictable output, 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. Cerebras misses clear canonical domain, llms-full.txt / full agent docs; Vespa misses mcp discoverable.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Vespa leads 46 to 23. Cerebras misses structured api reference, openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented; Vespa misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.

Adopt. Vespa leads 55 to 38. Cerebras 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, copyable quickstart, cli available; Vespa misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, mcp integration available.

Operate. Both sit at 35/100 here. Cerebras misses structured, predictable output, 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

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

Signal by signal

Which to pick

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

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