# Cohere Chat API (Command models) vs Muse Spark Open

> Cohere Chat scores 64.7 (B) to Muse Spark Open's 53.4 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/cohere-chat-vs-muse-spark-open
- Markdown: https://www.anchorterminal.com/compare/cohere-chat-vs-muse-spark-open.md (~3,200 tokens)
- Slim: https://www.anchorterminal.com/compare/cohere-chat-vs-muse-spark-open.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/cohere-chat-vs-muse-spark-open.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
- Licence: CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.
- Updated: 2026-10-15

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 6 of 7 scored categories. Muse Spark Open leads on payments & pricing. Both do llm inference.

- Cohere Chat API (Command models): grade B, 64.7/100, rank #367 of 1095. Markdown https://www.anchorterminal.com/tools/cohere-chat.md · JSON https://www.anchorterminal.com/api/v1/tools/cohere-chat.json
- Muse Spark Open: grade D, 53.4/100, rank #760 of 1095. Markdown https://www.anchorterminal.com/tools/muse-spark-open.md · JSON https://www.anchorterminal.com/api/v1/tools/muse-spark-open.json
- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md
- All 210 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 42
- Schema & documentation, 84 against 61
- Security & auth, 57 against 44
- Maintenance & community, 72 against 60
- Transparency & trust, 74 against 53

Also in its favour:
- A hosted endpoint, with nothing to install
- 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

### Muse Spark Open (D)

Good for: A team with a four-GPU Blackwell node, or two to four Mac Studios, that wants a 1M-token multimodal coding and agent model on its own hardware with no prompts leaving it.

Ahead on:
- Payments & pricing, 50 against 30

Also in its favour:
- No key needed to call it

Watch for: The NVFP4 checkpoint (about 537 GB) serves on four B300 GPUs and the BF16 one (about 1.65 TB) on eight


## Score by category

| Category | Weight | Cohere Chat API (Command models) | Muse Spark Open | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 64 | 42 | Cohere Chat API (Command models) +22 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 84 | 61 | Cohere Chat API (Command models) +23 |
| Agent ergonomics | 13% (16.2 this run) | 72 | 69 | Cohere Chat API (Command models) +3 |
| Security & auth | 14% (17.5 this run) | 57 | 44 | Cohere Chat API (Command models) +13 |
| Payments & pricing | 10% (12.5 this run) | 30 | 50 | Muse Spark Open +20 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 72 | 60 | Cohere Chat API (Command models) +12 |
| Transparency & trust | 7% (8.8 this run) | 74 | 53 | Cohere Chat API (Command models) +21 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **64.7 · B** | **53.4 · D** | |

## Facts side by side

| Fact | Cohere Chat API (Command models) | Muse Spark Open |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Cohere | Meta |
| Hosted endpoint | `https://api.cohere.com/v2/chat` | no (local only) |
| Transports | HTTP | HTTP |
| Auth | API key | None |
| Pricing | Freemium | Free |
| x402 | no | no |
| Licence | Proprietary service under Cohere's Commercial SaaS Agreement. The SDKs are MIT | Muse Model Licence (source-available weights, not an OSI licence), free of charge with an attribution notice, a separate agreement with Meta before Model as a Service by a licensee group above $20M gross revenue, and the Muse Spark Open Usage Policy |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-09-09 | 2026-10-15 |
| Terms last updated | 2025-04-08 |  |
| Privacy policy last updated | 2026-05-01 | no document linked |
| 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.

**Muse Spark Open.** Muse Spark Open runs on the owner's hardware in seven runtimes, with OpenAI-compatible servers in vLLM and SGLang, standard tool calls, a 1M-token context and Meta's own serving docs. Serving the 537 GB NVFP4 checkpoint takes four B300 GPUs, Meta's download is gated by manual review, and the licence adds attribution and a revenue threshold for model resellers.

## 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

### Muse Spark Open

1. Start vLLM or SGLang with `--reasoning-parser muse --tool-call-parser muse` (vLLM also `--enable-auto-tool-choice`), or tool calls come back as raw text
2. Set `reasoning_effort` to `low` or `medium` for short tasks. The default is `xhigh`, reasoning can't be turned off, and other values return an error
3. Stop only on `<|eot|>` and end of text. Stopping on `<|eom|>` cuts off tool calls and final answers
4. Stream long generations and leave `max_tokens` room for reasoning, or `content` can come back empty with `finish_reason` `length`
5. Don't call Meta Model API for this model. Use a self-hosted server or a hosted provider's model string, such as `meta-models/muse-spark-open`

## Questions

### Which is better for AI agents, Cohere Chat API (Command models) or Muse Spark Open?

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against Muse Spark Open's 53.4 (D), and leads in 6 of 7 scored categories. Muse Spark Open leads on payments & pricing.

### Do Cohere Chat API (Command models) and Muse Spark Open need an API key?

Cohere Chat API (Command models) needs an API key. Muse Spark Open needs no key.

### Can an agent call Cohere Chat API (Command models) and Muse Spark Open without installing anything?

Cohere Chat API (Command models) has a hosted endpoint at https://api.cohere.com/v2/chat. No hosted endpoint is listed for Muse Spark Open.


## For agents

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

## Other comparisons with Cohere Chat API (Command models) or Muse Spark Open

- [Claude API vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/anthropic-api-vs-cohere-chat.md)
- [Claude API vs Muse Spark Open](https://www.anchorterminal.com/compare/anthropic-api-vs-muse-spark-open.md)
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