# LBS-27B vs Mistral Large 4 (slim)

> Mistral Large 4 and LBS-27B score within a point of each other for open-weight models you run yourself, 54.6 and 53.9 out of 100. 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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Mistral Large 4 and LBS-27B score within a point of each other on agent readiness, 54.6 (C) and 53.9 (D). LBS-27B leads on reach. Both do open-weight models you run yourself.

- LBS-27B: D 53.9, rank #94 of 117 open-weight models · https://www.anchorterminal.com/tools/lbs-27b.min.md
- Mistral Large 4: C 54.6, rank #92 of 117 open-weight models · https://www.anchorterminal.com/tools/mistral-large-4.min.md
- LBS-27B, good for Agents with about 96 GB of GPU memory that need to find click targets on dense professional screenshots, or read fine detail in large images, and can run a small crop loop and wait for independent results. Ahead on Reach, 55 against 50.
- 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 50; Agent interface, 95 against 70; Documentation and upkeep, 64 against 43.

| Category | LBS-27B | Mistral Large 4 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 50 |
| Risk (20%) | 50 | 75 |
| Agent interface (10%) | 70 | 95 |
| Documentation and upkeep (10%) | 43 | 64 |

| Fact (where they differ) | LBS-27B | Mistral Large 4 |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Mistral AI |
| Licence | Apache-2.0 (the card's metadata and licence section; the LICENSE file sits in the GitHub repository inclusionAI/UI-Venus on its LBS branch, not in the Hugging Face repository) | Mistral Ecosystem Open-Weight License (modified MIT) |
| Last release | 2026-10-26 | 2026-10-29 |