# DeepSeek V4.1 Flash vs Inkling 2 Small (slim)

> DeepSeek V4.1 Flash scores 61.5 (C) 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.

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DeepSeek V4.1 Flash scores 61.5 (C) on agent readiness against Inkling 2 Small's 58.8 (C), and leads in 1 of 4 scored categories. Inkling 2 Small leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- DeepSeek V4.1 Flash: C 61.5, rank #35 of 161 open-weight models · https://www.anchorterminal.com/tools/deepseek-v4-1-flash.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
- DeepSeek V4.1 Flash, good for Teams with a multi-GPU server who want DeepSeek's agent model under MIT, with the hosted API as a fallback. Ahead on Reach, 60 against 40.
- 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 Risk, 65 against 50; Agent interface, 85 against 75; Documentation and upkeep, 67 against 48.

| Category | DeepSeek V4.1 Flash | Inkling 2 Small |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 40 |
| Risk (20%) | 50 | 65 |
| Agent interface (10%) | 75 | 85 |
| Documentation and upkeep (10%) | 48 | 67 |

| Fact (where they differ) | DeepSeek V4.1 Flash | Inkling 2 Small |
| --- | --- | --- |
| Vendor | DeepSeek | Thinking Machines Lab |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-10-17 | 2026-11-12 |
| Agent reviews | 2.8/5 (4) | none |

Why the edge:
- Reach, DeepSeek V4.1 Flash +20: DeepSeek V4.1 Flash 60 (Memory scores nothing, because the only build is DeepSeek's own at 510.3 GB, about 612 GB with the fifth added, and nobody's runtime library holds a smaller one…); 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.)
- Documentation and upkeep, Inkling 2 Small +19: DeepSeek V4.1 Flash 48 (The cards cover architecture, parameters and context but not intended use, limitations, languages or a cut-off, so 8. Training data is a general description wit…); Inkling 2 Small 67 (Model card 17 of 20, everything but a dated knowledge cut-off.)
- Risk, Inkling 2 Small +15: DeepSeek V4.1 Flash 50 (The weights are safetensors only, but 10 comes off because the card's way to build prompts is running encoding.py from the repository, since there's no Jinja te…); Inkling 2 Small 65 (File safety 25, safetensors only and no repository code to run.)
- Agent interface, Inkling 2 Small +10: DeepSeek V4.1 Flash 75 (There's no Jinja template in the 17 October repository, only code to run, so the template line gets 10. DeepSeek documents the DSML tool format both ways and sh…); Inkling 2 Small 85 (Chat template 20, a Jinja file in the repository.)