# Cola2 vs LFM2.5-2.6B (slim)

> LFM2.5-2.6B scores 50.3 (D) 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-lfm2-5-2-6b.md (~8,300 tokens) · this version ~630 tokens · JSON https://www.anchorterminal.com/compare/cola2-vs-lfm2-5-2-6b.json · canonical https://www.anchorterminal.com/compare/cola2-vs-lfm2-5-2-6b
- 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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LFM2.5-2.6B scores 50.3 (D) 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
- LFM2.5-2.6B: D 50.3, rank #146 of 160 open-weight models · https://www.anchorterminal.com/tools/lfm2-5-2-6b.min.md
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study
- LFM2.5-2.6B, good for Agents that want a small local helper for tool calls, extraction and RAG on a laptop, phone or CPU, at organisations under the licence's revenue threshold Ahead on Reach, 90 against 25; Risk, 50 against 40; Agent interface, 75 against 20.

| Category | Cola2 | LFM2.5-2.6B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 90 |
| Risk (20%) | 40 | 50 |
| Agent interface (10%) | 20 | 75 |
| Documentation and upkeep (10%) | 58 | 57 |

| Fact (where they differ) | Cola2 | LFM2.5-2.6B |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | Liquid AI |
| Licence | None stated for the weights (the code is Apache 2.0) | LFM Open License v1.0 (free commercial use below $10M annual revenue) |
| llms.txt | no | yes |
| Last release | 2026-11-06 | 2026-11-03 |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Reach, LFM2.5-2.6B +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.); LFM2.5-2.6B 90 (Memory earns the full 30, since Liquid's own 4-bit GGUF is 1.59 GB and fits 8 GB with room to spare.)
- Agent interface, LFM2.5-2.6B +55: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); LFM2.5-2.6B 75 (The chat template earns 20 for chat_template.jinja in the repository.)
- Risk, LFM2.5-2.6B +10: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); LFM2.5-2.6B 50 (File safety earns 25, safetensors and GGUF only, and nothing from the repository runs to load it or build prompts.)