# gpt-oss-120b vs Inkling-Small (slim)

> gpt-oss-120b scores 70.2 (BB) to Inkling-Small's 66.5 (B) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- 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-120b scores 70.2 (BB) 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-120b: BB 70.2, rank #6 of 100 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-120b.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-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 55; Risk, 95 against 70; Agent interface, 90 against 85. Also Agent-ready, a grade of BB or better.
- 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 54; Documentation and upkeep, 82 against 45.

| Category | gpt-oss-120b | Inkling-Small |
| --- | --- | --- |
| Capability (35%) | 54 | 63 |
| Reach (25%) | 75 | 55 |
| Risk (20%) | 95 | 70 |
| Agent interface (10%) | 90 | 85 |
| Documentation and upkeep (10%) | 45 | 82 |

| Fact (where they differ) | gpt-oss-120b | Inkling-Small |
| --- | --- | --- |
| Vendor | OpenAI | Thinking Machines Lab |
| Last release | 2025-08-26 | 2026-07-31 |