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Google Gemini vs OpenAI

OpenAI scores higher on the AgentReady, 72/100 against 35/100. 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

Google Gemini. Gemini is Google's AI assistant and conversational AI model.

OpenAI. OpenAI is an AI research and deployment company focused on developing frontier intelligence models and making them accessible through products like ChatGPT and an API platform.

Where Google Gemini is ahead

Google Gemini passes search discoverable, and OpenAI does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds adopt: official typescript sdk and official python sdk. OpenAI misses those.

And on operate, canonical workflow succeeds. OpenAI misses it.

Where OpenAI is ahead

OpenAI passes llms.txt published, and Google Gemini 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. Google Gemini misses it.

And on adopt, self-service signup and free trial or free allowance. Google Gemini misses those.

What neither does

Both fail clear canonical domain, clear product positioning, public docs discoverable, llms-full.txt / full agent docs, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, 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. OpenAI leads 67 to 53. Google Gemini misses clear canonical domain, clear product positioning, public docs discoverable, llms.txt published, llms-full.txt / full agent docs; OpenAI misses search discoverable, clear canonical domain, clear product positioning, public docs discoverable, llms-full.txt / full agent docs.

Understand. OpenAI leads 67 to 23. Google Gemini misses structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; OpenAI misses structured api reference, openapi / spec quality, 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. OpenAI leads 88 to 40. Google Gemini 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; OpenAI misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk.

Operate. OpenAI leads 67 to 24. Google Gemini misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified; OpenAI misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Google Gemini does not publish a machine-readable starting price. OpenAI does not publish one and has a free tier.

Signal by signal

Which to pick

Signal counts are level here, so fit and price decide it. Full profiles: Google Gemini and OpenAI. Alternatives to each: Google Gemini, OpenAI.

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