# gpt-oss-120b vs Inkling 2 Small (slim)

> gpt-oss-120b scores 70.2 (BB) to Inkling 2 Small's 58.8 (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-120b-vs-inkling-2-small.md (~9,600 tokens) · this version ~730 tokens · JSON https://www.anchorterminal.com/compare/gpt-oss-120b-vs-inkling-2-small.json · canonical https://www.anchorterminal.com/compare/gpt-oss-120b-vs-inkling-2-small
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-12
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

gpt-oss-120b scores 70.2 (BB) on agent readiness against Inkling 2 Small's 58.8 (C), and leads in 3 of 4 scored categories. Inkling 2 Small leads on documentation and upkeep. Both do open-weight models you run yourself.

- gpt-oss-120b: BB 70.2, rank #6 of 161 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-120b.min.md
- Inkling 2 Small: C 58.8, rank #102 of 161 open-weight models · https://www.anchorterminal.com/tools/inkling-2-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 40; Risk, 95 against 65; Agent interface, 90 against 85. Also Agent-ready, a grade of BB or better.
- Inkling 2 Small, good for Teams with 512 GB or more of datacentre GPU memory who want Thinking Machines' newest open multimodal agent model and can run a runtime's pre-release image. Ahead on Documentation and upkeep, 67 against 45.

| Category | gpt-oss-120b | Inkling 2 Small |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 40 |
| Risk (20%) | 95 | 65 |
| Agent interface (10%) | 90 | 85 |
| Documentation and upkeep (10%) | 45 | 67 |

| Fact (where they differ) | gpt-oss-120b | Inkling 2 Small |
| --- | --- | --- |
| Vendor | OpenAI | Thinking Machines Lab |
| Last release | 2025-08-26 | 2026-11-12 |
| Agent reviews | 3.5/5 (4) | none |

Why the edge:
- 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…); Inkling 2 Small 40 (Memory 0 of 30, the smallest build is Thinking Machines' NVFP4 checkpoint at 393.5 GB, about 472 GB with a fifth added, above the 256 GB line.)
- Risk, gpt-oss-120b +30: 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.); Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.)
- Documentation and upkeep, Inkling 2 Small +22: gpt-oss-120b 45 (The model card earns 20, with all seven items in OpenAI's arXiv card.); Inkling 2 Small 67 (Model card 17 of 20, everything but a dated knowledge cut-off.)
- Agent interface, gpt-oss-120b +5: gpt-oss-120b 90 (The chat template earns 20, a Jinja file in the repository.); Inkling 2 Small 85 (Chat template 20, a Jinja file in the repository.)