# Cosmos-Reason2-2B vs Kimi K3.1 Pro (slim)

> Cosmos-Reason2-2B scores 59.5 (C) to Kimi K3.1 Pro's 48.6 (D) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-kimi-k3-1-pro.md (~9,250 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-kimi-k3-1-pro.json · canonical https://www.anchorterminal.com/compare/cosmos-reason2-2b-vs-kimi-k3-1-pro
- 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 Kimi K3.1 Pro's 48.6 (D), and leads in 2 of 4 scored categories. Kimi K3.1 Pro leads on documentation and upkeep. Both do open-weight models you run yourself.

- Cosmos-Reason2-2B: C 59.5, rank #95 of 160 open-weight models · https://www.anchorterminal.com/tools/cosmos-reason2-2b.min.md
- Kimi K3.1 Pro: D 48.6, rank #151 of 160 open-weight models · https://www.anchorterminal.com/tools/kimi-k3-1-pro.min.md
- 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 40; Risk, 60 against 50.
- Kimi K3.1 Pro, good for Operators with a multi-accelerator node who want Moonshot's newest open-weight model for coding and long agent sessions, and everyone else through an API Ahead on Documentation and upkeep, 51 against 39.

| Category | Cosmos-Reason2-2B | Kimi K3.1 Pro |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 40 |
| Risk (20%) | 60 | 50 |
| Agent interface (10%) | 65 | 65 |
| Documentation and upkeep (10%) | 39 | 51 |

| Fact (where they differ) | Cosmos-Reason2-2B | Kimi K3.1 Pro |
| --- | --- | --- |
| Vendor | NVIDIA | Moonshot AI |
| Licence | NVIDIA Open Model License (custom, commercial use allowed, not an OSI licence); built on Qwen3-VL-2B-Instruct under Apache 2.0 | Kimi K3.1 Pro License (modified MIT) |
| Last release | 2026-03-10 | 2026-11-05 |
| Terms last updated | 2025-10-24 | no document linked |
| Customer content may train models | yes | not read yet |
| Terms restrict automated access | not found in the text | not read yet |
| Terms restrict benchmarking | not found in the text | not read yet |
| Terms or service can change without notice | not found in the text | not read yet |
| Arbitration or class-action waiver | not found in the text | not read yet |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Reach, Cosmos-Reason2-2B +25: 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.); Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.)
- Documentation and upkeep, Kimi K3.1 Pro +12: Cosmos-Reason2-2B 39 (The card misses languages and a cut-off (14).); Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.)
- Risk, Cosmos-Reason2-2B +10: Cosmos-Reason2-2B 60 (File safety gets the full 25, one safetensors file loaded by Transformers' own code with a template, no remote code.); Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.)
