# gpt-oss-120b vs Kimi K3.1 Pro (slim)

> gpt-oss-120b scores 70.2 (BB) 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/gpt-oss-120b-vs-kimi-k3-1-pro.md (~9,000 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/gpt-oss-120b-vs-kimi-k3-1-pro.json · canonical https://www.anchorterminal.com/compare/gpt-oss-120b-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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gpt-oss-120b scores 70.2 (BB) on agent readiness against Kimi K3.1 Pro's 48.6 (D), and leads in 3 of 4 scored categories. Kimi K3.1 Pro leads on documentation and upkeep. Both do open-weight models you run yourself.

- gpt-oss-120b: BB 70.2, rank #6 of 160 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-120b.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
- gpt-oss-120b, good for Agents on one 80 GB GPU or a 128 GB unified machine that want an Apache 2.0 reasoning model with wide runtime support Ahead on Reach, 75 against 40; Risk, 95 against 50; Agent interface, 90 against 65. Also Agent-ready, a grade of BB or better.
- 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 45.

| Category | gpt-oss-120b | Kimi K3.1 Pro |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 40 |
| Risk (20%) | 95 | 50 |
| Agent interface (10%) | 90 | 65 |
| Documentation and upkeep (10%) | 45 | 51 |

| Fact (where they differ) | gpt-oss-120b | Kimi K3.1 Pro |
| --- | --- | --- |
| Vendor | OpenAI | Moonshot AI |
| Licence | Apache-2.0 | Kimi K3.1 Pro License (modified MIT) |
| Last release | 2025-08-26 | 2026-11-05 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Risk, gpt-oss-120b +45: gpt-oss-120b 95 (File safety earns 25, safetensors only, with metal/model.bin a raw format and not pickle, and nothing from the repository runs on load.); Kimi K3.1 Pro 50 (File safety 15, safetensors only, less 10 for remote code and prompts built by the repository's script.)
- Reach, gpt-oss-120b +35: gpt-oss-120b 75 (Memory earns 10, because the smallest 4-bit build, Ollama's 65 GB gpt-oss:120b, needs about 78 GB with the fifth added, which fits the reference machine but not…); Kimi K3.1 Pro 40 (Memory 0, the only build is Moonshot's 1,561 GB MXFP4 release, far above 256 GB.)
- Agent interface, gpt-oss-120b +25: gpt-oss-120b 90 (The chat template earns 20, a Jinja file in the repository.); Kimi K3.1 Pro 65 (Chat template 10, the format is only code to run.)
- Documentation and upkeep, Kimi K3.1 Pro +6: gpt-oss-120b 45 (The model card earns 20, with all seven items in OpenAI's arXiv card.); Kimi K3.1 Pro 51 (Model card 11, no limitations, languages or cut-off.)