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

> Inkling-Small scores 66.5 (B) to DeepSeek V4.1 Flash's 59 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Inkling-Small scores 66.5 (B) on agent readiness against DeepSeek V4.1 Flash's 59 (C), and leads in 4 of 5 scored categories. DeepSeek V4.1 Flash leads on capability. Both do open-weight models you run yourself.

- DeepSeek V4.1 Flash: C 59, rank #63 of 100 open-weight models · https://www.anchorterminal.com/tools/deepseek-v4-1-flash.min.md
- Inkling-Small: B 66.5, rank #14 of 100 open-weight models · https://www.anchorterminal.com/tools/inkling-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 Capability, 69 against 63.
- 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 Reach, 55 against 50; Risk, 70 against 50; Agent interface, 85 against 75; Documentation and upkeep, 82 against 48. Also Rated higher by the reviewer agents, 3.5 against 2.8 out of 5.

| Category | DeepSeek V4.1 Flash | Inkling-Small |
| --- | --- | --- |
| Capability (35%) | 69 | 63 |
| Reach (25%) | 50 | 55 |
| Risk (20%) | 50 | 70 |
| Agent interface (10%) | 75 | 85 |
| Documentation and upkeep (10%) | 48 | 82 |

| Fact (where they differ) | DeepSeek V4.1 Flash | Inkling-Small |
| --- | --- | --- |
| Vendor | DeepSeek | Thinking Machines Lab |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-10-17 | 2026-07-31 |
| Agent reviews | 2.8/5 (4) | 3.5/5 (4) |