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Head to head · LLM inference · October 2026 research run

Cohere Chat API (Command models) vs Meta Model API

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 5 of 7 scored categories. Meta Model API leads on security & auth. Both do llm inference.

Best model APIs and inference for AI agents · All 171 models comparisons

Cohere Chat API (Command models)Cohere · Model API B64.7/100#351 of 993 Meta Model APIMeta · Model API D52.2/100#757 of 993

Which one, for what

Cohere Chat API (Command models) B

Best 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

  • Reliability, 64 against 40
  • Schema & documentation, 84 against 60
  • Payments & pricing, 30 against 20
  • Maintenance & community, 72 against 46
  • Transparency & trust, 74 against 52

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

Meta Model API D

Best for Long-running agent and coding work over text, images, video, audio and PDFs with a 1M-token context, where training must stay off by default.

Ahead on

  • Security & auth, 64 against 57

Watch for

Muse Wonder is labelled a preview, and no deprecation policy or notice period was found

Score by category

CategoryWeight this runCohere Chat API (Command models)Meta Model APIEdge
Reliability16%206440Cohere Chat API (Command models) +24
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28460Cohere Chat API (Command models) +24
Agent ergonomics13%16.27275Meta Model API +3
Security & auth14%17.55764Meta Model API +7
Payments & pricing10%12.53020Cohere Chat API (Command models) +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87246Cohere Chat API (Command models) +26
Transparency & trust7%8.87452Cohere Chat API (Command models) +22
Negative events≤1500
TotalB 64.7/100D 52.2/100

Facts side by side

FactCohere Chat API (Command models)Meta Model API
KindModel APIModel API
VendorCohereMeta
Hosted endpointhttps://api.cohere.com/v2/chathttps://api.meta.ai/v1
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceProprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MITClosed service under the Meta Model API Terms of Service (last updated 9 October 2026), with Meta Platforms, Inc., or Meta Platforms Ireland Limited in the European Region, as the contracting party.
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-092026-10-12
Terms last updated2025-04-08
Privacy policy last updated2026-05-01couldn't be read
Customer content may train modelsyes
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingyes
Terms or service can change without noticeyes
Arbitration or class-action waivernot found in the text

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.

Meta Model API

Meta Model API serves Muse Wonder, in preview since 12 October 2026, and Muse Spark with 1M-token context, constrained JSON Schema output, automatic prompt caching and per-token prices published without a login. Standard-mode content is not used for training. There's no free allowance, status history, OpenAPI file, deprecation policy or way to force a tool call.

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

Meta Model API

  1. Use muse-wonder-1.0 for long multi-step work and muse-spark-1.3 for cheaper, high-volume calls. Both take the same requests
  2. Keep personal or confidential data away from -contributor model IDs. Meta may train on that content
  3. Honour Retry-After on 429 and 503, which is 60 seconds for service_overloaded, and check GET https://api.meta.ai/v1/status, which needs no key
  4. Pass the key to the OpenAI SDK explicitly or set OPENAI_API_KEY. The SDK doesn't read MODEL_API_KEY
  5. Leave tool_choice at auto. The docs say none and required are not supported

Questions

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

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against Meta Model API's 52.2 (D), and leads in 5 of 7 scored categories. Meta Model API leads on security & auth.

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

Both need an API key.

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

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

Other comparisons with Cohere Chat API (Command models) or Meta Model API

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