# Cohere Chat API (Command models) vs Meta Model API

> Cohere Chat scores 64.7 (B) to Meta Model's 52.2 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api
- Markdown: https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api.md (~2,950 tokens)
- Slim: https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api.min.md (~730 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-12

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.

- Cohere Chat API (Command models): grade B, 64.7/100, rank #351 of 993. Markdown https://www.anchorterminal.com/tools/cohere-chat.md · JSON https://www.anchorterminal.com/api/v1/tools/cohere-chat.json
- Meta Model API: grade D, 52.2/100, rank #757 of 993. Markdown https://www.anchorterminal.com/tools/meta-model-api.md · JSON https://www.anchorterminal.com/api/v1/tools/meta-model-api.json
- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md
- All 171 models comparisons: https://www.anchorterminal.com/compare/inference/index.md

## 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:
- 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)

Good 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

| Category | Weight | Cohere Chat API (Command models) | Meta Model API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 64 | 40 | Cohere Chat API (Command models) +24 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 84 | 60 | Cohere Chat API (Command models) +24 |
| Agent ergonomics | 13% (16.2 this run) | 72 | 75 | Meta Model API +3 |
| Security & auth | 14% (17.5 this run) | 57 | 64 | Meta Model API +7 |
| Payments & pricing | 10% (12.5 this run) | 30 | 20 | Cohere Chat API (Command models) +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 72 | 46 | Cohere Chat API (Command models) +26 |
| Transparency & trust | 7% (8.8 this run) | 74 | 52 | Cohere Chat API (Command models) +22 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **64.7 · B** | **52.2 · D** | |

## Facts side by side

| Fact | Cohere Chat API (Command models) | Meta Model API |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Cohere | Meta |
| Hosted endpoint | `https://api.cohere.com/v2/chat` | `https://api.meta.ai/v1` |
| Transports | HTTP | HTTP |
| Auth | API key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | Proprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MIT | Closed 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 documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-09 | 2026-10-12 |
| Terms last updated | 2025-04-08 |  |
| Privacy policy last updated | 2026-05-01 | couldn't be read |
| Customer content may train models | yes |  |
| Terms restrict automated access | not found in the text |  |
| Terms restrict benchmarking | yes |  |
| Terms or service can change without notice | yes |  |
| Arbitration or class-action waiver | not 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.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cohere-chat-vs-meta-model-api.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "cohere-chat", "b": "meta-model-api"}`. From a terminal: `anchor compare cohere-chat meta-model-api`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cohere-chat.json and https://www.anchorterminal.com/api/v1/tools/meta-model-api.json

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