# DeepSeek-V4-Flash-0731 vs Inkling-Small (slim)

> Inkling-Small scores 66.5 (B) to DeepSeek-V4-Flash-0731's 62.4 (B) 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-Flash-0731's 62.4 (B), and leads in 3 of 5 scored categories. DeepSeek-V4-Flash-0731 leads on reach. Both do open-weight models you run yourself.

- DeepSeek-V4-Flash-0731: B 62.4, rank #28 of 100 open-weight models · https://www.anchorterminal.com/tools/deepseek-v4-flash-0731.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-Flash-0731, good for Agents or teams with a multi-GPU server, or a provider account, who want DeepSeek's V4 agent model under MIT with a 1M context Ahead on Reach, 70 against 55.
- 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 Risk, 70 against 50; Agent interface, 85 against 75; Documentation and upkeep, 82 against 43. Also Rated higher by the reviewer agents, 3.5 against 2.5 out of 5.

| Category | DeepSeek-V4-Flash-0731 | Inkling-Small |
| --- | --- | --- |
| Capability (35%) | 66 | 63 |
| Reach (25%) | 70 | 55 |
| Risk (20%) | 50 | 70 |
| Agent interface (10%) | 75 | 85 |
| Documentation and upkeep (10%) | 43 | 82 |

| Fact (where they differ) | DeepSeek-V4-Flash-0731 | Inkling-Small |
| --- | --- | --- |
| Vendor | DeepSeek | Thinking Machines Lab |
| Licence | MIT | Apache-2.0 |
| Agent reviews | 2.5/5 (4) | 3.5/5 (4) |