# Mistral Large 4 vs Nanbeige4.3-33B (slim)

> Nanbeige4.3-33B scores 61 (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.

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- 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
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Nanbeige4.3-33B scores 61 (C) on agent readiness against Mistral Large 4's 54.6 (C), and leads in 1 of 4 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
- Nanbeige4.3-33B: C 61, rank #57 of 117 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-3-33b.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 60; Agent interface, 95 against 85; Documentation and upkeep, 64 against 56.
- Nanbeige4.3-33B, good for Agents with about 96 GB of GPU memory, or the 128 GB reference machine, that want an Apache-tagged 33B model for long coding and tool loops and can wait for independent results. Ahead on Reach, 55 against 50.

| Category | Mistral Large 4 | Nanbeige4.3-33B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 55 |
| Risk (20%) | 75 | 60 |
| Agent interface (10%) | 95 | 85 |
| Documentation and upkeep (10%) | 64 | 56 |

| Fact (where they differ) | Mistral Large 4 | Nanbeige4.3-33B |
| --- | --- | --- |
| Vendor | Mistral AI | Nanbeige LLM Lab (BOSS Zhipin) |
| Licence | Mistral Ecosystem Open-Weight License (modified MIT) | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |
| Last release | 2026-10-29 | 2026-10-24 |