# gpt-oss-20b vs Nanbeige4.2-3B (slim)

> gpt-oss-20b scores 69.9 (B) to Nanbeige4.2-3B's 61 (C) 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-20b-vs-nanbeige-4-2-3b.md (~9,800 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/gpt-oss-20b-vs-nanbeige-4-2-3b.json · canonical https://www.anchorterminal.com/compare/gpt-oss-20b-vs-nanbeige-4-2-3b
- 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)

gpt-oss-20b scores 69.9 (B) on agent readiness against Nanbeige4.2-3B's 61 (C), and leads in 3 of 4 scored categories. Nanbeige4.2-3B leads on documentation and upkeep. Both do open-weight models you run yourself.

- gpt-oss-20b: B 69.9, rank #8 of 160 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-20b.min.md
- Nanbeige4.2-3B: C 61, rank #78 of 160 open-weight models · https://www.anchorterminal.com/tools/nanbeige-4-2-3b.min.md
- gpt-oss-20b, good for Local agents on a 24 GB GPU or Mac that want a permissive licence, wide runtime support and documented structured output, one tool call at a time Ahead on Reach, 90 against 85; Risk, 85 against 55; Agent interface, 90 against 85.
- Nanbeige4.2-3B, good for Local agents that need tool calling and a long context on a laptop or a small GPU Ahead on Documentation and upkeep, 72 against 42.

| Category | gpt-oss-20b | Nanbeige4.2-3B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 85 |
| Risk (20%) | 85 | 55 |
| Agent interface (10%) | 90 | 85 |
| Documentation and upkeep (10%) | 42 | 72 |

| Fact (where they differ) | gpt-oss-20b | Nanbeige4.2-3B |
| --- | --- | --- |
| Vendor | OpenAI | Nanbeige LLM Lab (BOSS Zhipin) |
| Licence | Apache-2.0 | Apache-2.0 (Hub metadata only; the repository has no LICENSE file) |
| Last release | 2025-08-26 | 2026-09-11 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- Risk, gpt-oss-20b +30: gpt-oss-20b 85 (File safety earns 25, since the weights are safetensors and metal/model.bin is OpenAI's own raw Metal format rather than pickle, and nothing in the repository r…); Nanbeige4.2-3B 55 (File safety 15, safetensors only, no .bin, .pt or .pth files (25).)
- Documentation and upkeep, Nanbeige4.2-3B +30: gpt-oss-20b 42 (The model card earns 17, covering six of the seven points and missing a statement of supported languages.); Nanbeige4.2-3B 72 (Model card 17, Intended use, limitations, the architecture, the parameters (3B outside the embeddings), the context and the languages (in the metadata) are on t…)
- Reach, gpt-oss-20b +5: gpt-oss-20b 90 (Memory earns 25, since OpenAI's own MXFP4 build is 13.76 GB and a fifth on top is 16.5 GB, just past the 16 GB band, and Ollama's 14 GB build lands in the same…); Nanbeige4.2-3B 85 (Memory 30, the smallest build from Nanbeige is the FP8 repository (the 8-bit GPTQ one is the same size), 5.19 GB, and 5.19 GB × 1.2 = 6.2 GB, within 16 GB.)
- Agent interface, gpt-oss-20b +5: gpt-oss-20b 90 (The chat template earns 20, a Jinja file in the repository.); Nanbeige4.2-3B 85 (Chat template 20, A Jinja chat template in tokenizer_config.json (7,961 characters), with enable_thinking, preserve_thinking, tools and tool_call_format switche…)