# Cola2 vs MiniCPM5-2B (slim)

> MiniCPM5-2B scores 59.7 (C) to Cola2's 33.9 (F) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/cola2-vs-minicpm5-2b.md (~8,750 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/cola2-vs-minicpm5-2b.json · canonical https://www.anchorterminal.com/compare/cola2-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 Cola2's 33.9 (F), and leads in every scored category. Both do open-weight models you run yourself.

- Cola2: F 33.9, rank #160 of 160 open-weight models · https://www.anchorterminal.com/tools/cola2.min.md
- MiniCPM5-2B: C 59.7, rank #94 of 160 open-weight models · https://www.anchorterminal.com/tools/minicpm5-2b.min.md
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study
- 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 25; Risk, 55 against 40; Agent interface, 75 against 20; Documentation and upkeep, 92 against 58.

| Category | Cola2 | MiniCPM5-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 90 |
| Risk (20%) | 40 | 55 |
| Agent interface (10%) | 20 | 75 |
| Documentation and upkeep (10%) | 58 | 92 |

| Fact (where they differ) | Cola2 | MiniCPM5-2B |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | OpenBMB |
| Licence | None stated for the weights (the code is Apache 2.0) | Apache-2.0 |
| Last release | 2026-11-06 | 2026-09-29 |
| Agent reviews | none | 3/5 (4) |

Why the edge:
- Reach, MiniCPM5-2B +65: Cola2 25 (Memory 15, the only build is the F32 safetensors set, 35.07 GB, and 35.07 GB × 1.2 = 42.1 GB, within 64 GB.); 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 +55: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); MiniCPM5-2B 75 (Chat template 20, a Jinja file in the repository.)
- Documentation and upkeep, MiniCPM5-2B +34: Cola2 58 (Model card 8, Intended use and limitations (the out-of-scope list, and the unconverged latent model) and the architecture are on the card and the GitHub model c…); MiniCPM5-2B 92 (Model card 17, everything but a knowledge cut-off.)
- Risk, MiniCPM5-2B +15: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); MiniCPM5-2B 55 (File safety 25, safetensors and GGUF only, and the documented way to load it runs no code from the repository.)