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Cohere vs Sambanova

Cohere scores higher on the AgentReady, 49/100 against 48/100. 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

Cohere. Cohere is an AI company providing enterprise-ready AI solutions that keep data and infrastructure under customer control.

Sambanova. SambaNova is an AI infrastructure company pushing the AI frontier with premium inference, maximizing dataflow efficiency with high speed and sustained throughput for running the largest models.

Where Cohere is ahead

Cohere passes public docs discoverable and llms-full.txt / full agent docs, and Sambanova does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: agent-compatible signup flow. Sambanova misses it.

And on operate, structured, predictable output. Sambanova misses it.

Where Sambanova is ahead

Sambanova passes mcp discoverable, and Cohere 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. Cohere misses it.

And on adopt, copyable quickstart and mcp integration available. Cohere misses those.

What neither does

Both fail openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, cli 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. Cohere leads 87 to 80. Cohere misses mcp discoverable; Sambanova misses public docs discoverable, llms-full.txt / full agent docs.

Understand. Sambanova leads 38 to 31. Cohere misses openapi / spec quality, authentication documented, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Sambanova misses openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Sambanova leads 40 to 30. Cohere misses self-service signup, no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, cli available, mcp integration available; Sambanova 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.

Operate is whether an agent can run against it in production and recover when a call fails. Cohere leads 47 to 35. Cohere misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Sambanova misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Cohere does not publish a machine-readable starting price. Sambanova does not publish one.

Signal by signal

Which to pick

Signal counts are level here, so fit and price decide it. Full profiles: Cohere and Sambanova. Alternatives to each: Cohere, Sambanova.

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