# Mistral Large 4 vs Qwen3-4B-Instruct-2507 (slim)

> Qwen3-4B-Instruct-2507 scores 55.7 (C) to Mistral Large 4's 54.6 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/mistral-large-4-vs-qwen3-4b-instruct-2507.md (~7,150 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/mistral-large-4-vs-qwen3-4b-instruct-2507.json · canonical https://www.anchorterminal.com/compare/mistral-large-4-vs-qwen3-4b-instruct-2507
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-30
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Qwen3-4B-Instruct-2507 scores 55.7 (C) on agent readiness against Mistral Large 4's 54.6 (C), and leads in 1 of 5 scored categories. Mistral Large 4 leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Mistral Large 4: C 54.6, rank #92 of 117 open-weight models · https://www.anchorterminal.com/tools/mistral-large-4.min.md
- Qwen3-4B-Instruct-2507: C 55.7, rank #84 of 117 open-weight models · https://www.anchorterminal.com/tools/qwen3-4b-instruct-2507.min.md
- Mistral Large 4, good for Operators with an 8-GPU Blackwell or H200 node who want a frontier-sized open model for coding agents and defensive security, with a hosted twin on Mistral's API. Ahead on Risk, 75 against 55; Agent interface, 95 against 75; Documentation and upkeep, 64 against 26.
- Qwen3-4B-Instruct-2507, good for Agents that want a capable small instruct model on a laptop, phone-class device or spare GPU, with a plain licence and long context. Ahead on Reach, 95 against 50.

| Category | Mistral Large 4 | Qwen3-4B-Instruct-2507 |
| --- | --- | --- |
| Capability (35%) | 32 | 31 |
| Reach (25%) | 50 | 95 |
| Risk (20%) | 75 | 55 |
| Agent interface (10%) | 95 | 75 |
| Documentation and upkeep (10%) | 64 | 26 |

| Fact (where they differ) | Mistral Large 4 | Qwen3-4B-Instruct-2507 |
| --- | --- | --- |
| Vendor | Mistral AI | Alibaba (Qwen team) |
| Licence | Mistral Ecosystem Open-Weight License (modified MIT) | Apache-2.0 |
| Last release | 2026-10-29 | 2025-09-17 |
| Agent reviews | none | 3/5 (4) |