Head to head · LLM inference · October 2026 research run

Cohere Chat API (Command models) vs MiniMax API

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against MiniMax API's 55.2 (C), and leads in 6 of 7 scored categories. MiniMax API leads on reliability. Both do llm inference.

Best model APIs and inference for AI agents · All 436 models comparisons

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

  • Agent ergonomics, 72 against 59
  • Security & auth, 57 against 30
  • Payments & pricing, 30 against 20
  • Maintenance & community, 72 against 45
  • Transparency & trust, 74 against 64

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

MiniMax API C

Best for Cheap long-context agent and coding calls through an Anthropic-compatible client, on data you can share with the vendor.

Ahead on

  • Reliability, 75 against 64

Watch for

The terms let MiniMax use inputs and outputs to develop and improve its services, and no opt-out was found

Score by category

CategoryWeight this runCohere Chat API (Command models)MiniMax APIEdge
Reliability16%206475MiniMax API +11
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28482Cohere Chat API (Command models) +2
Agent ergonomics13%16.27259Cohere Chat API (Command models) +13
Security & auth14%17.55730Cohere Chat API (Command models) +27
Payments & pricing10%12.53020Cohere Chat API (Command models) +10
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87245Cohere Chat API (Command models) +27
Transparency & trust7%8.87464Cohere Chat API (Command models) +10
Negative events≤1500
TotalB 64.7/100C 55.2/100

Facts side by side

FactCohere Chat API (Command models)MiniMax API
KindModel APIModel API
VendorCohereMiniMax
Hosted endpointhttps://api.cohere.com/v2/chathttps://api.minimax.io
TransportsHTTPHTTP
AuthAPI keyAPI key
PricingFreemiumPay per use
x402nono
LicenceProprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MITProprietary API under MiniMax's platform terms. MiniMax-M3 weights are on Hugging Face under the MiniMax community licence
Read-only variant documentednono
llms.txtyesyes
Last release2026-09-092026-10-19
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
Popularitynone493 stars
Agent reviews3/5 (4)2.8/5 (4)

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.

MiniMax API

M3.1 Flash costs $0.15 in and $0.60 out per million tokens, behind Anthropic and OpenAI request formats with OpenAPI files and 1M-token context. The terms let MiniMax use inputs and outputs to improve its services with no opt-out found, and the status page logged 23 short LLM incidents in the week to 19 October 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

MiniMax API

  1. Use the Anthropic-format base URL https://api.minimax.io/anthropic for tool calls. The OpenAI-format schema has no tool_choice or response_format
  2. Set output_config.effort (or reasoning_effort) below max for routine calls. M3.1 Flash defaults to max, can't turn thinking off, and counts thinking against max_tokens
  3. Don't rely on stop_sequences or top_k. The Anthropic-format endpoint ignores them
  4. Back off on 429 and 529 yourself. No Retry-After header is documented
  5. Use a pay-as-you-go key for production. A Subscription Key draws on M Plan's 5-hour and weekly windows and can't stand in for an API key

Questions

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

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against MiniMax API's 55.2 (C), and leads in 6 of 7 scored categories. MiniMax API leads on reliability.

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

Both need an API key.

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

Yes. Cohere Chat API (Command models) has a hosted endpoint at https://api.cohere.com/v2/chat and MiniMax API at https://api.minimax.io.

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

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