# gpt-oss-20b vs Inkling-Small (slim)

> gpt-oss-20b scores 69.9 (B) to Inkling-Small's 66.5 (B) 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-inkling-small.md (~6,100 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/gpt-oss-20b-vs-inkling-small.json · canonical https://www.anchorterminal.com/compare/gpt-oss-20b-vs-inkling-small
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
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gpt-oss-20b scores 69.9 (B) on agent readiness against Inkling-Small's 66.5 (B), and leads in 3 of 5 scored categories. Inkling-Small leads on capability and documentation and upkeep. Both do open-weight models you run yourself.

- gpt-oss-20b: B 69.9, rank #8 of 100 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-20b.min.md
- Inkling-Small: B 66.5, rank #14 of 100 open-weight models · https://www.anchorterminal.com/tools/inkling-small.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 55; Risk, 85 against 70; Agent interface, 90 against 85.
- Inkling-Small, good for Teams with 256 GB or more of datacentre GPU memory who want an open multimodal agent model with audio input and adjustable thinking. Ahead on Capability, 63 against 49; Documentation and upkeep, 82 against 42.

| Category | gpt-oss-20b | Inkling-Small |
| --- | --- | --- |
| Capability (35%) | 49 | 63 |
| Reach (25%) | 90 | 55 |
| Risk (20%) | 85 | 70 |
| Agent interface (10%) | 90 | 85 |
| Documentation and upkeep (10%) | 42 | 82 |

| Fact (where they differ) | gpt-oss-20b | Inkling-Small |
| --- | --- | --- |
| Vendor | OpenAI | Thinking Machines Lab |
| Last release | 2025-08-26 | 2026-07-31 |