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DeepInfra vs OpenRouter

DeepInfra scores higher on the AgentReady, 83/100 against 81/100. They differ on 19 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

DeepInfra. DeepInfra is an AI inference cloud that makes it simple to run the latest machine learning models at scale — LLMs, vision, embeddings, image generation, video generation, speech, and more.

OpenRouter. OpenRouter is a unified interface for AI models that provides access to hundreds of AI models through a single API endpoint.

Where DeepInfra is ahead

DeepInfra passes search discoverable and public docs discoverable, and OpenRouter does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: openapi / spec quality, request examples provided, response examples provided, errors and status codes documented and limits / constraints documented. OpenRouter misses those.

And on adopt, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk and cli available. OpenRouter misses those.

Finally, on operate, canonical workflow succeeds, structured, predictable output, machine-readable errors, rate-limit behavior predictable and observable execution. OpenRouter misses those.

Where OpenRouter is ahead

OpenRouter passes agent compatibility verified, and DeepInfra does not. That is operate, whether an agent can run against it in production and recover when a call fails.

What neither does

Both fail mcp discoverable, no mandatory sales call, mcp integration available, retry behavior documented, idempotency support. 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. OpenRouter leads 100 to 87. DeepInfra misses mcp discoverable; OpenRouter misses search discoverable, public docs discoverable, mcp discoverable.

Understand. DeepInfra leads 100 to 92. DeepInfra misses nothing; OpenRouter misses openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. OpenRouter leads 88 to 75. DeepInfra misses no mandatory sales call, mcp integration available; OpenRouter misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk, cli available, mcp integration available.

Operate is whether an agent can run against it in production and recover when a call fails. DeepInfra leads 71 to 44. DeepInfra misses retry behavior documented, idempotency support, agent compatibility verified; OpenRouter misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution.

Pricing

DeepInfra does not publish a machine-readable starting price with no free tier. OpenRouter does not publish one and has a free tier.

Signal by signal

Which to pick

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

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