# gpt-oss-20b vs MiniCPM-V 4.7 1B (slim)

> gpt-oss-20b scores 69.9 (B) to MiniCPM-V 4.7 1B'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-minicpm-v-4-7-1b.md (~9,900 tokens) · this version ~780 tokens · JSON https://www.anchorterminal.com/compare/gpt-oss-20b-vs-minicpm-v-4-7-1b.json · canonical https://www.anchorterminal.com/compare/gpt-oss-20b-vs-minicpm-v-4-7-1b
- 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-20b scores 69.9 (B) on agent readiness against MiniCPM-V 4.7 1B's 61 (C), and leads in 2 of 4 scored categories. MiniCPM-V 4.7 1B leads on reach and 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
- MiniCPM-V 4.7 1B: C 61, rank #76 of 160 open-weight models · https://www.anchorterminal.com/tools/minicpm-v-4-7-1b.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 Risk, 85 against 55; Agent interface, 90 against 70.
- MiniCPM-V 4.7 1B, good for Agents that need a cheap local model to read screenshots, photos and short video on a phone, a laptop or beside a bigger model Ahead on Reach, 95 against 90; Documentation and upkeep, 48 against 42.

| Category | gpt-oss-20b | MiniCPM-V 4.7 1B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 95 |
| Risk (20%) | 85 | 55 |
| Agent interface (10%) | 90 | 70 |
| Documentation and upkeep (10%) | 42 | 48 |

| Fact (where they differ) | gpt-oss-20b | MiniCPM-V 4.7 1B |
| --- | --- | --- |
| Vendor | OpenAI | OpenBMB |
| Last release | 2025-08-26 | 2026-10-30 |
| 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…); MiniCPM-V 4.7 1B 55 (File safety 25, safetensors in the main repository and the AWQ, GPTQ and int4 builds, GGUF in the GGUF build, with no .bin, .pt, .pth or .py files in the main r…)
- Agent interface, gpt-oss-20b +20: gpt-oss-20b 90 (The chat template earns 20, a Jinja file in the repository.); MiniCPM-V 4.7 1B 70 (Chat template 20, chat_template.jinja in the repository, 7,249 characters.)
- Documentation and upkeep, MiniCPM-V 4.7 1B +6: gpt-oss-20b 42 (The model card earns 17, covering six of the seven points and missing a statement of supported languages.); MiniCPM-V 4.7 1B 48 (Model card 8, Intended use (image, multi-image and video understanding on device), architecture (early visual-token compression inside the vision encoder) and p…)
- Reach, MiniCPM-V 4.7 1B +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…); MiniCPM-V 4.7 1B 95 (Memory 30, OpenBMB's own IQ4_XS GGUF is 0.64 GB, 1.54 GB with the 0.90 GB vision projector, and 1.54 GB × 1.2 = 1.9 GB, which fits 16 GB with room to spare.)