# Ling-3.1-flash-1019 vs North Mini Code 1.0 (slim)

> North Mini Code 1.0 scores 61 (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.

- Full: https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-north-mini-code-1-0.md (~10,550 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-north-mini-code-1-0.json · canonical https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-north-mini-code-1-0
- 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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North Mini Code 1.0 scores 61 (C) on agent readiness against Ling-3.1-flash-1019's 54.8 (C), and leads in 3 of 4 scored categories. Ling-3.1-flash-1019 leads on 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
- North Mini Code 1.0: C 61, rank #80 of 160 open-weight models · https://www.anchorterminal.com/tools/north-mini-code-1-0.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 Documentation and upkeep, 56 against 36.
- North Mini Code 1.0, good for Developers who want a coding agent on their own GPU with a permissive licence Ahead on Reach, 85 against 60; Risk, 60 against 45; Agent interface, 85 against 60.

| Category | Ling-3.1-flash-1019 | North Mini Code 1.0 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 85 |
| Risk (20%) | 45 | 60 |
| Agent interface (10%) | 60 | 85 |
| Documentation and upkeep (10%) | 56 | 36 |

| Fact (where they differ) | Ling-3.1-flash-1019 | North Mini Code 1.0 |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | Cohere |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-11-04 | 2026-07-29 |

Why the edge:
- Reach, North Mini Code 1.0 +25: Ling-3.1-flash-1019 60 (Memory 0, inclusionAI's only build is the FP8 release at 573.78 GB, × 1.2 = 688.5 GB, above 256 GB, and no runtime's library has a build.); North Mini Code 1.0 85 (Memory 25, the smallest build from Cohere is the w4a16 repository, 19.38 GB, and 19.38 GB × 1.2 = 23.3 GB, within 24 GB.)
- Agent interface, North Mini Code 1.0 +25: 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.); North Mini Code 1.0 85 (Chat template 20, chat_template.jinja in the repository (12,397 characters).)
- Documentation and upkeep, Ling-3.1-flash-1019 +20: 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…); North Mini Code 1.0 36 (Model card 11, Intended use, the architecture, the parameters and the context are on the card.)
- Risk, North Mini Code 1.0 +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…); North Mini Code 1.0 60 (File safety 25, safetensors only, no .bin, .pt or .pth files and no Python in the repository.)