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Head to head · LLM inference · October 2026 research run

Cohere Chat API (Command models) vs GroqCloud

GroqCloud scores 75.6 (BB) on agent readiness against Cohere Chat API (Command models)'s 64.7 (B), and leads in 5 of 7 scored categories. Cohere Chat API (Command models) leads on schema & documentation. 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 GroqCloudGroq · Model API BB75.6/100#44 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.

Ahead on

  • Schema & documentation, 84 against 64

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

GroqCloud BB

Good for Many small, latency-sensitive calls on open-weight models, routing, extraction and classification, and agents that need to start free.

Ahead on

  • Reliability, 100 against 64
  • Agent ergonomics, 80 against 72
  • Security & auth, 77 against 57
  • Payments & pricing, 40 against 30
  • Transparency & trust, 85 against 74

Also in its favour

  • Agent-ready, a grade of BB or better

Watch for

Four model shutdown dates between 2026-07-17 and 2026-09-21, with no stated minimum notice

Score by category

CategoryWeight this runCohere Chat API (Command models)GroqCloudEdge
Reliability16%2064100GroqCloud +36
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28464Cohere Chat API (Command models) +20
Agent ergonomics13%16.27280GroqCloud +8
Security & auth14%17.55777GroqCloud +20
Payments & pricing10%12.53040GroqCloud +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87272even
Transparency & trust7%8.87485GroqCloud +11
Negative events≤1500
Total64.7 · B75.6 · BB

Facts side by side

FactCohere Chat API (Command models)GroqCloud
KindModel APIModel API
VendorCohereGroq
Hosted endpointhttps://api.cohere.com/v2/chathttps://api.groq.com/openai/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumFreemium
x402nono
LicenceProprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MITApache-2.0 (SDKs)
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-092026-09-21
Terms last updated2025-04-082026-06-22
Privacy policy last updated2026-05-012025-11-12
Customer content may train modelsyesnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingyesyes
Terms or service can change without noticeyesnot found in the text
Arbitration or class-action waivernot found in the textnot found in the text
Popularitynone619 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.

GroqCloud

Free plan with no card, at 30 requests a minute and 1,000 a day on gpt-oss. Four model shutdown dates between 2026-07-17 and 2026-09-21, with no stated minimum notice.

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

GroqCloud

  1. Call /models at start-up. Four model ids stopped working this quarter
  2. Read retry-after on a 429 and the x-ratelimit-remaining-tokens header before the next call
  3. Free plan allows 8,000 tokens a minute on gpt-oss, so keep prompts small or batch them
  4. Don't build on Qwen 3.8 27B. It's a preview and previews can go at short notice
  5. Treat a 498 as Flex capacity and retry later; 5xx responses aren't billed

Questions

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

GroqCloud scores 75.6 (BB) on agent readiness against Cohere Chat API (Command models)'s 64.7 (B), and leads in 5 of 7 scored categories. Cohere Chat API (Command models) leads on schema & documentation.

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

Both need an API key.

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

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

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

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