# Arete-27B vs Ling-3.1-flash-1019 (slim)

> Arete-27B and Ling-3.1-flash-1019 score within a point of each other for open-weight models you run yourself, 55.1 and 54.8 out of 100. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/arete-27b-vs-ling-3-1-flash-1019.md (~9,200 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/arete-27b-vs-ling-3-1-flash-1019.json · canonical https://www.anchorterminal.com/compare/arete-27b-vs-ling-3-1-flash-1019
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Arete-27B and Ling-3.1-flash-1019 score within a point of each other on agent readiness, 55.1 (C) and 54.8 (C). Ling-3.1-flash-1019 leads on reach. Both do open-weight models you run yourself.

- Arete-27B: C 55.1, rank #123 of 160 open-weight models · https://www.anchorterminal.com/tools/arete-27b.min.md
- 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
- Arete-27B, good for Agents that want Qwen3.8-27B's coding and tool use without its handling of politically sensitive topics, on a 24 GB card or a 128 GB machine Ahead on Risk, 55 against 45; Documentation and upkeep, 63 against 56.
- 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 Reach, 60 against 50.

| Category | Arete-27B | Ling-3.1-flash-1019 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 50 | 60 |
| Risk (20%) | 55 | 45 |
| Agent interface (10%) | 60 | 60 |
| Documentation and upkeep (10%) | 63 | 56 |

| Fact (where they differ) | Arete-27B | Ling-3.1-flash-1019 |
| --- | --- | --- |
| Vendor | Nous Research | inclusionAI (Ant Group) |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-11-06 | 2026-11-04 |

Why the edge:
- Reach, Ling-3.1-flash-1019 +10: Arete-27B 50 (Memory 10, the only build from Nous Research is the 54.7 GB BF16 release, which needs about 66 GB and fits the reference machine.); 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.)
- Risk, Arete-27B +10: Arete-27B 55 (File safety 25, safetensors only and no remote code.); 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…)
- Documentation and upkeep, Arete-27B +7: Arete-27B 63 (Model card 8, no limitations, context length, languages or cut-off.); 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…)
