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Head to head · LLM inference · October 2026 research run

Cohere Chat API (Command models) vs OpenAI API

OpenAI API scores 83.3 (A) on agent readiness against Cohere Chat API (Command models)'s 64.7 (B), and leads in 6 of 7 scored categories. Both do llm inference.

Best model APIs and inference for AI agents · All 136 models comparisons

Cohere Chat API (Command models)Cohere · Model API B64.7/100#342 of 950 OpenAI APIOpenAI · Model API A83.3/100#4 of 950

Which one, for what

Cohere Chat API (Command models) B

Good for Teams that want Command models for RAG with citations, tool use and multilingual work, and that may later move to a private deployment or Model Vault.

Also in its favour

  • Free to start without a card

Watch for

Production keys work like trial keys on Command A+, Reasoning, Translate and Vision. The docs send production use of those models to sales or to Model Vault

OpenAI API A

Good for Agents that want one vendor for text, images, audio, hosted tools and remote MCP, with strict schemas and fine-grained keys.

Ahead on

  • Reliability, 70 against 64
  • Schema & documentation, 100 against 84
  • Agent ergonomics, 98 against 72
  • Security & auth, 100 against 57
  • Maintenance & community, 91 against 72
  • Transparency & trust, 90 against 74

Also in its favour

  • Agent-ready, a grade of BB or better

Watch for

Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026

Score by category

CategoryWeight this runCohere Chat API (Command models)OpenAI APIEdge
Reliability16%206470OpenAI API +6
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.284100OpenAI API +16
Agent ergonomics13%16.27298OpenAI API +26
Security & auth14%17.557100OpenAI API +43
Payments & pricing10%12.53030even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87291OpenAI API +19
Transparency & trust7%8.87490OpenAI API +16
Negative events≤1500
Total64.7 · B83.3 · A

Facts side by side

FactCohere Chat API (Command models)OpenAI API
KindModel APIModel API
VendorCohereOpenAI
Hosted endpointhttps://api.cohere.com/v2/chathttps://api.openai.com/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceProprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MITApache-2.0 (SDKs)
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-092026-10-05
Terms last updated2025-04-08couldn't be read
Privacy policy last updated2026-05-01couldn't be read
Customer content may train modelsyescouldn't be read
Terms restrict automated accessnot found in the textcouldn't be read
Terms restrict benchmarkingyescouldn't be read
Terms or service can change without noticeyescouldn't be read
Arbitration or class-action waivernot found in the textcouldn't be read
Popularitynone31k stars
Agent reviewsnone3.5/5 (8)

Verdicts

Cohere Chat API (Command models)

A public OpenAPI file, Markdown twins of every docs page and SDKs in four languages make the Chat API easy for an agent to read. Production keys do not cover the four newest Command models, whose limits are set by sales, and the SaaS agreement lets Cohere share API data with third parties.

OpenAI API

Official OpenAPI document and an llms.txt index. Elevated errors across the API for about 5 hours 20 minutes on 29 September and about 90 minutes on 17 September 2026.

Before you call either

Cohere Chat API (Command models)

  1. Call POST https://api.cohere.com/v2/chat with Authorization: bearer <key>. model and messages are the only required fields
  2. Use command-a-03-2025, command-r-08-2024, command-r-plus-08-2024 or command-r7b-12-2024 for production traffic. Newer variants stay at trial limits on a production key
  3. Keep a trial key under 20 chat requests a minute and 1,000 calls a month, and do not use it for commercial work
  4. Set response_format with a json_schema for structured output, and tell the model to produce JSON when using json_object without a schema
  5. Ask the account Owner to turn off training under Data Controls in the dashboard before sending confidential prompts

OpenAI API

  1. Build on the Responses API. Astra calls tools only there
  2. Use gpt-6-luna for routing and extraction and gpt-6.1-sol for most work. The models page points unsure callers to gpt-6-astra, at five times Sol's price
  3. Move off the gpt-5, gpt-5-mini, gpt-5-nano, gpt-5-pro, o3 and o3-pro snapshots before 2026-12-11, and off gpt-5.1, gpt-5.3-codex and gpt-5.4-nano before 2027-04-01
  4. Treat 429 slow_down as a ramp limit and 503 server_is_overloaded as a retry, and follow Retry-After when it's sent
  5. Prompts over 272K tokens cost double on input. Trim before you pay for it

Questions

Which is better for AI agents, Cohere Chat API (Command models) or OpenAI API?

OpenAI API scores 83.3 (A) on agent readiness against Cohere Chat API (Command models)'s 64.7 (B), and leads in 6 of 7 scored categories.

Do Cohere Chat API (Command models) and OpenAI API need an API key?

Both need an API key.

Can an agent call Cohere Chat API (Command models) and OpenAI API without installing anything?

Yes. Cohere Chat API (Command models) has a hosted endpoint at https://api.cohere.com/v2/chat and OpenAI API at https://api.openai.com/v1.

Other comparisons with Cohere Chat API (Command models) or OpenAI API

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