# Cola2 vs LBS-27B (slim)

> LBS-27B scores 55.8 (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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LBS-27B scores 55.8 (C) on agent readiness against Cola2's 33.9 (F), and leads in 3 of 4 scored categories. Cola2 leads on documentation and upkeep. 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
- LBS-27B: C 55.8, rank #118 of 160 open-weight models · https://www.anchorterminal.com/tools/lbs-27b.min.md
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study Ahead on Documentation and upkeep, 58 against 43.
- LBS-27B, good for Agents with about 96 GB of GPU memory that need to find click targets on dense professional screenshots, or read fine detail in large images, and can run a small crop loop and wait for independent results. Ahead on Reach, 60 against 25; Risk, 50 against 40; Agent interface, 70 against 20.

| Category | Cola2 | LBS-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 60 |
| Risk (20%) | 40 | 50 |
| Agent interface (10%) | 20 | 70 |
| Documentation and upkeep (10%) | 58 | 43 |

| Fact (where they differ) | Cola2 | LBS-27B |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | inclusionAI (Ant Group) |
| Licence | None stated for the weights (the code is Apache 2.0) | Apache-2.0 (the card's metadata and licence section; the LICENSE file sits in the GitHub repository inclusionAI/UI-Venus on its LBS branch, not in the Hugging Face repository) |
| Last release | 2026-11-06 | 2026-10-26 |

Why the edge:
- Agent interface, LBS-27B +50: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); LBS-27B 70 (The chat template earns 20, Qwen's Jinja file in the repository.)
- Reach, LBS-27B +35: 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.); LBS-27B 60 (Memory earns 10, since the only build is 54.73 GB of BF16, about 66 GB with a fifth added, which fits the reference machine but not 64 GB.)
- Documentation and upkeep, Cola2 +15: 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…); LBS-27B 43 (The model card earns 8, with intended use, one limitation and parameters, and no architecture, context, languages or cut-off.)
- Risk, LBS-27B +10: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); LBS-27B 50 (File safety earns 15, safetensors only but with the documented route running the publisher's scripts to serve it and to write its system prompt.)