# Ling-3.0-tiny vs Mistral Large 4 (slim)

> Ling-3.0-tiny and Mistral Large 4 score within a point of each other for open-weight models you run yourself, 55 and 54.6 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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Ling-3.0-tiny and Mistral Large 4 score within a point of each other on agent readiness, 55 (C) and 54.6 (C). Mistral Large 4 leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Ling-3.0-tiny: C 55, rank #90 of 117 open-weight models · https://www.anchorterminal.com/tools/ling-3-0-tiny.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
- Ling-3.0-tiny, good for Agents on a laptop or small GPU that want a fast local model for tool calls and short reasoning, under MIT Ahead on Reach, 90 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 60; Documentation and upkeep, 64 against 56.

| Category | Ling-3.0-tiny | Mistral Large 4 |
| --- | --- | --- |
| Capability (35%) | 31 | 32 |
| Reach (25%) | 90 | 50 |
| Risk (20%) | 50 | 75 |
| Agent interface (10%) | 60 | 95 |
| Documentation and upkeep (10%) | 56 | 64 |

| Fact (where they differ) | Ling-3.0-tiny | Mistral Large 4 |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Mistral AI |
| Licence | MIT | Mistral Ecosystem Open-Weight License (modified MIT) |
| Last release | 2026-08-31 | 2026-10-29 |
| Agent reviews | 2.8/5 (4) | none |