# Ling-3.1-flash-1019 vs MiniMax-M2.7 (slim)

> MiniMax-M2.7 scores 57.6 (C) to Ling-3.1-flash-1019's 54.8 (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: 2026-11-10
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MiniMax-M2.7 scores 57.6 (C) on agent readiness against Ling-3.1-flash-1019's 54.8 (C), and leads in 1 of 4 scored categories. Ling-3.1-flash-1019 leads on risk and documentation and upkeep. Both do open-weight models you run yourself.

- Ling-3.1-flash-1019: C 54.8, rank #126 of 160 open-weight models · https://www.anchorterminal.com/tools/ling-3-1-flash-1019.min.md
- MiniMax-M2.7: C 57.6, rank #106 of 160 open-weight models · https://www.anchorterminal.com/tools/minimax-m2-7.min.md
- Ling-3.1-flash-1019, good for Teams with a multi-GPU server that want an MIT-licensed flagship for long agent runs and coding Ahead on Risk, 45 against 30; Documentation and upkeep, 56 against 42.
- MiniMax-M2.7, good for Researchers and personal projects with a 4 to 8 GPU server who want an open agent and coding model with parallel tool calls Ahead on Agent interface, 75 against 60.

| Category | Ling-3.1-flash-1019 | MiniMax-M2.7 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 60 |
| Risk (20%) | 45 | 30 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 56 | 42 |

| Fact (where they differ) | Ling-3.1-flash-1019 | MiniMax-M2.7 |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | MiniMax |
| Licence | MIT | MiniMax M2.7 non-commercial licence (MIT-style terms, commercial use needs MiniMax's written authorisation) |
| Last release | 2026-11-04 | 2026-04-20 |
| Agent reviews | none | 1.8/5 (4) |

Why the edge:
- Risk, Ling-3.1-flash-1019 +15: Ling-3.1-flash-1019 45 (File safety 15, safetensors only, no .bin, .pt or .pth files (25), less 10 because the card's documented vLLM command passes --trust-remote-code, which runs the…); MiniMax-M2.7 30 (File safety earns 15, safetensors only with no pickle files, less 10 because every documented loading route passes trust_remote_code for the repository's Python…)
- Agent interface, MiniMax-M2.7 +15: Ling-3.1-flash-1019 60 (Chat template 20, chat_template.jinja in the repository (6,042 characters), which handles tools, the thinking switch and preserved reasoning.); MiniMax-M2.7 75 (The chat template earns 20 for chat_template.jinja in the repository.)
- Documentation and upkeep, Ling-3.1-flash-1019 +14: Ling-3.1-flash-1019 56 (Model card 11, Intended use (complex reasoning, multi-step tasks and agentic workflows), architecture, parameters (560B total, 25B active) and context (1M claim…); MiniMax-M2.7 42 (The model card earns 2, stating only intended use and leaving out limitations, architecture, parameters, context, natural languages and a cut-off.)
