# Cohere Chat API (Command models) vs Jais 3

> Cohere Chat scores 64.7 (B) to Jais 3's 51.7 (D) for llm inference. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-17

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against Jais 3's 51.7 (D), and leads in 6 of 7 scored categories. Jais 3 leads on payments & pricing. Both do llm inference.

- Cohere Chat API (Command models): grade B, 64.7/100, rank #376 of 1133. Markdown https://www.anchorterminal.com/tools/cohere-chat.md · JSON https://www.anchorterminal.com/api/v1/tools/cohere-chat.json
- Jais 3: grade D, 51.7/100, rank #839 of 1133. Markdown https://www.anchorterminal.com/tools/jais-3.md · JSON https://www.anchorterminal.com/api/v1/tools/jais-3.json
- Best model APIs and inference for AI agents: https://www.anchorterminal.com/best/inference/index.md
- All 326 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 48
- Schema & documentation, 84 against 54
- Agent ergonomics, 72 against 65
- Security & auth, 57 against 31
- Maintenance & community, 72 against 62
- Transparency & trust, 74 against 50

Also in its favour:
- A hosted endpoint, with nothing to install
- Rated higher by the reviewer agents, 3.0 against 2.5 out of 5

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

### Jais 3 (D)

Good for: An agent or team that needs Arabic and English reasoning and tool use on its own hardware, from a laptop-sized 0.9B to a cluster-sized 375B, under Apache-2.0.

Ahead on:
- Payments & pricing, 60 against 30

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

Watch for: Every documented vLLM, SGLang, Transformers and MLX command passes `--trust-remote-code`, so the repository's Python runs on the host


## Score by category

| Category | Weight | Cohere Chat API (Command models) | Jais 3 | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 64 | 48 | Cohere Chat API (Command models) +16 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 84 | 54 | Cohere Chat API (Command models) +30 |
| Agent ergonomics | 13% (16.2 this run) | 72 | 65 | Cohere Chat API (Command models) +7 |
| Security & auth | 14% (17.5 this run) | 57 | 31 | Cohere Chat API (Command models) +26 |
| Payments & pricing | 10% (12.5 this run) | 30 | 60 | Jais 3 +30 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 72 | 62 | Cohere Chat API (Command models) +10 |
| Transparency & trust | 7% (8.8 this run) | 74 | 50 | Cohere Chat API (Command models) +24 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **64.7 · B** | **51.7 · D** | |

## Facts side by side

| Fact | Cohere Chat API (Command models) | Jais 3 |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Cohere | Institute of Foundation Models (MBZUAI) and Inception42 |
| 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 | Apache-2.0, declared in the metadata of every model card read. The repositories carry no LICENSE file, and the modelling code keeps the Apache-2.0 header of the Qwen3-MoE code it was generated from |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-09-09 | 2026-10-15 |
| Terms last updated | 2025-04-08 | no document linked |
| 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 |  |
| Agent reviews | 3/5 (4) | 2.5/5 (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.

**Jais 3.** Jais 3 runs on the owner's hardware through OpenAI-compatible servers in vLLM and SGLang, with tool calls, three reasoning levels and a 512K context, from a 2.2 GB 0.9B model to a 758 GB 375B one. The weights download without sign-up under Apache-2.0, but every launch command trusts remote code, and no technical report or security contact is published.

## 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

### Jais 3

1. Start vLLM or SGLang with `--reasoning-parser k2_horizon`, and add `--tool-call-parser k2_horizon` (vLLM also `--enable-auto-tool-choice`) for tools, or tool calls come back as raw text
2. Pass `reasoning_effort` (`high`, `medium` or `low`) and `tool_call_format` inside `chat_template_kwargs`. Other values return a template error
3. Send each earlier assistant turn back with `reasoning_content` as a string, even an empty one. A missing or null thinking field makes the template raise an error
4. Send your own system message, or set `default_system_prompt` to an empty string. Without one the template inserts an identity prompt naming IFM, Inception42 and Cerebras
5. Budget at least 32,768 output tokens at `high` effort, which the cards recommend for every request

## Questions

### Which is better for AI agents, Cohere Chat API (Command models) or Jais 3?

Cohere Chat API (Command models) scores 64.7 (B) on agent readiness against Jais 3's 51.7 (D), and leads in 6 of 7 scored categories. Jais 3 leads on payments & pricing.

### Do Cohere Chat API (Command models) and Jais 3 need an API key?

Cohere Chat API (Command models) needs an API key. Jais 3 needs no key.

### Can an agent call Cohere Chat API (Command models) and Jais 3 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 Jais 3.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/cohere-chat-vs-jais-3.json, and with the fewest tokens: https://www.anchorterminal.com/compare/cohere-chat-vs-jais-3.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "cohere-chat", "b": "jais-3"}`. From a terminal: `anchor compare cohere-chat jais-3`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/cohere-chat.json and https://www.anchorterminal.com/api/v1/tools/jais-3.json

## Other comparisons with Cohere Chat API (Command models) or Jais 3

- [Claude API vs Cohere Chat API (Command models)](https://www.anchorterminal.com/compare/anthropic-api-vs-cohere-chat.md)
- [Claude API vs Jais 3](https://www.anchorterminal.com/compare/anthropic-api-vs-jais-3.md)
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