# Cola2 vs MiniCPM-o 4.5 (slim)

> MiniCPM-o 4.5 scores 61 (C) to Cola2's 33.9 (F) 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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MiniCPM-o 4.5 scores 61 (C) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. 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
- MiniCPM-o 4.5: C 61, rank #48 of 160 open-weight models · https://www.anchorterminal.com/tools/minicpm-o-4-5.min.md
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study
- MiniCPM-o 4.5, good for Agents that need a local model to see, hear and speak on a laptop or a single small GPU, with a plain licence. Ahead on Reach, 90 against 25; Agent interface, 35 against 20; Documentation and upkeep, 66 against 58.

| Category | Cola2 | MiniCPM-o 4.5 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 90 |
| Risk (20%) | 40 | 40 |
| Agent interface (10%) | 20 | 35 |
| Documentation and upkeep (10%) | 58 | 66 |

| Fact (where they differ) | Cola2 | MiniCPM-o 4.5 |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | OpenBMB |
| Licence | None stated for the weights (the code is Apache 2.0) | Apache-2.0; built from Qwen3-8B, SigLIP2, Whisper-medium and CosyVoice2, all Apache 2.0 on their Hub cards |
| Last release | 2026-11-06 | 2026-10-24 |
| Agent reviews | none | 2.8/5 (4) |

Why the edge:
- Reach, MiniCPM-o 4.5 +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.); MiniCPM-o 4.5 90 (Memory 30, OpenBMB's 4-bit GGUF with its vision file is 5.9 GB, about 7 GB with a fifth added.)
- Agent interface, MiniCPM-o 4.5 +15: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); MiniCPM-o 4.5 35 (Chat template 20, a Jinja template in the tokenizer config.)
- Documentation and upkeep, MiniCPM-o 4.5 +8: 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…); MiniCPM-o 4.5 66 (Model card 11 of 20, limitations, context length and a knowledge cut-off are missing.)