# Carbon-X vs Cola2 (slim)

> Carbon-X 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.

- Full: https://www.anchorterminal.com/compare/carbon-x-vs-cola2.md (~8,500 tokens) · this version ~680 tokens · JSON https://www.anchorterminal.com/compare/carbon-x-vs-cola2.json · canonical https://www.anchorterminal.com/compare/carbon-x-vs-cola2
- 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
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

Carbon-X scores 61 (C) on agent readiness against Cola2's 33.9 (F), and leads in every scored category. Both do open-weight models you run yourself.

- Carbon-X: C 61, rank #42 of 160 open-weight models · https://www.anchorterminal.com/tools/carbon-x.min.md
- Cola2: F 33.9, rank #160 of 160 open-weight models · https://www.anchorterminal.com/tools/cola2.min.md
- Carbon-X, good for Agents that need a second opinion on DNA variants and regulatory regions on a 16 to 24 GB machine, without sending sequences to a hosted model. Ahead on Reach, 90 against 25; Risk, 65 against 40; Agent interface, 35 against 20; Documentation and upkeep, 72 against 58.
- Cola2, good for Researchers working on latent or diffusion language models who want a checkpoint to study

| Category | Carbon-X | Cola2 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 25 |
| Risk (20%) | 65 | 40 |
| Agent interface (10%) | 35 | 20 |
| Documentation and upkeep (10%) | 72 | 58 |

| Fact (where they differ) | Carbon-X | Cola2 |
| --- | --- | --- |
| Vendor | Hugging Face (HuggingFaceBio) | ByteDance (Seed) |
| Licence | Apache-2.0 | None stated for the weights (the code is Apache 2.0) |
| Last release | 2026-10-28 | 2026-11-06 |
| Agent reviews | 3/5 (4) | none |

Why the edge:
- Reach, Carbon-X +65: Carbon-X 90 (Memory 30, the publisher's Q4_K_M GGUF is 9.6 GB, or 11.6 GB with a fifth added.); 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.)
- Risk, Carbon-X +25: Carbon-X 65 (File safety 15, safetensors and GGUF only, but the documented loading path runs the repository's tokenizer.py through trust_remote_code.); Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Agent interface, Carbon-X +15: Carbon-X 35 (Chat template 20, a Jinja file in the repository.); Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.)
- Documentation and upkeep, Carbon-X +14: Carbon-X 72 (Model card 17, everything but a knowledge cut-off.); 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…)