# Cola2 vs Cosmos-Reason2-2B (slim)

> Cosmos-Reason2-2B scores 59.5 (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-cosmos-reason2-2b.md (~9,200 tokens) · this version ~830 tokens · JSON https://www.anchorterminal.com/compare/cola2-vs-cosmos-reason2-2b.json · canonical https://www.anchorterminal.com/compare/cola2-vs-cosmos-reason2-2b
- 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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Cosmos-Reason2-2B scores 59.5 (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
- Cosmos-Reason2-2B: C 59.5, rank #95 of 160 open-weight models · https://www.anchorterminal.com/tools/cosmos-reason2-2b.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 39.
- Cosmos-Reason2-2B, good for Agents that need a small local model to reason over camera footage and images for robotics, driving or smart spaces Ahead on Reach, 65 against 25; Risk, 60 against 40; Agent interface, 65 against 20.

| Category | Cola2 | Cosmos-Reason2-2B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 25 | 65 |
| Risk (20%) | 40 | 60 |
| Agent interface (10%) | 20 | 65 |
| Documentation and upkeep (10%) | 58 | 39 |

| Fact (where they differ) | Cola2 | Cosmos-Reason2-2B |
| --- | --- | --- |
| Vendor | ByteDance (Seed) | NVIDIA |
| Licence | None stated for the weights (the code is Apache 2.0) | NVIDIA Open Model License (custom, commercial use allowed, not an OSI licence); built on Qwen3-VL-2B-Instruct under Apache 2.0 |
| Last release | 2026-11-06 | 2026-03-10 |
| Terms last updated | no document linked | 2025-10-24 |
| Customer content may train models | not read yet | yes |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | not found in the text |
| Agent reviews | none | 2.5/5 (4) |

Why the edge:
- Agent interface, Cosmos-Reason2-2B +45: Cola2 20 (Chat template 20, A chat template in tokenizer_config.json (4,116 characters), which came with the Qwen3 tokenizer.); Cosmos-Reason2-2B 65 (A Jinja template ships as chat_template.json (20).)
- Reach, Cosmos-Reason2-2B +40: 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.); Cosmos-Reason2-2B 65 (Memory earns the full 30 because the BF16 file is 4.9 GB, about 5.9 GB with the fifth added, though NVIDIA itself asks for 24 GB of GPU memory.)
- Risk, Cosmos-Reason2-2B +20: Cola2 40 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).); Cosmos-Reason2-2B 60 (File safety gets the full 25, one safetensors file loaded by Transformers' own code with a template, no remote code.)
- Documentation and upkeep, Cola2 +19: 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…); Cosmos-Reason2-2B 39 (The card misses languages and a cut-off (14).)