# Ling-3.1-flash-1019 vs MiniCPM5-2B (slim)

> MiniCPM5-2B scores 59.7 (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-minicpm5-2b.md (~10,050 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-minicpm5-2b.json · canonical https://www.anchorterminal.com/compare/ling-3-1-flash-1019-vs-minicpm5-2b
- 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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MiniCPM5-2B scores 59.7 (C) on agent readiness against Ling-3.1-flash-1019's 54.8 (C), and leads in every scored category. 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
- MiniCPM5-2B: C 59.7, rank #94 of 160 open-weight models · https://www.anchorterminal.com/tools/minicpm5-2b.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
- MiniCPM5-2B, good for On-device and laptop agents that want a 2 GB tool-calling helper with long context and open training data Ahead on Reach, 90 against 60; Risk, 55 against 45; Agent interface, 75 against 60; Documentation and upkeep, 92 against 56.

| Category | Ling-3.1-flash-1019 | MiniCPM5-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 90 |
| Risk (20%) | 45 | 55 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 56 | 92 |

| Fact (where they differ) | Ling-3.1-flash-1019 | MiniCPM5-2B |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | OpenBMB |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-11-04 | 2026-09-29 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Documentation and upkeep, MiniCPM5-2B +36: 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…); MiniCPM5-2B 92 (Model card 17, everything but a knowledge cut-off.)
- Reach, MiniCPM5-2B +30: 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.); MiniCPM5-2B 90 (Memory 30, OpenBMB's own MLX 4-bit build is 1.42 GB and its Q4_K_M GGUF 1.56 GB, about 2 GB with the fifth added.)
- Agent interface, MiniCPM5-2B +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.); MiniCPM5-2B 75 (Chat template 20, a Jinja file in the repository.)
- Risk, MiniCPM5-2B +10: 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…); MiniCPM5-2B 55 (File safety 25, safetensors and GGUF only, and the documented way to load it runs no code from the repository.)