# DeepSeek-V4-Flash-0731 vs Nemotron 3 Nano 4B (slim)

> DeepSeek-V4-Flash-0731 scores 62.4 (B) to Nemotron 3 Nano 4B's 56.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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DeepSeek-V4-Flash-0731 scores 62.4 (B) on agent readiness against Nemotron 3 Nano 4B's 56.8 (C), and leads in 2 of 5 scored categories. Nemotron 3 Nano 4B leads on reach, risk and documentation and upkeep. 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
- Nemotron 3 Nano 4B: C 56.8, rank #73 of 100 open-weight models · https://www.anchorterminal.com/tools/nemotron-3-nano-4b.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 Capability, 66 against 25; Agent interface, 75 against 70.
- Nemotron 3 Nano 4B, good for Agents on laptops, edge boards and small GPUs that need a cheap local tool-calling helper in English Ahead on Reach, 90 against 70; Risk, 65 against 50; Documentation and upkeep, 55 against 43. Also Rated higher by the reviewer agents, 3.3 against 2.5 out of 5.

| Category | DeepSeek-V4-Flash-0731 | Nemotron 3 Nano 4B |
| --- | --- | --- |
| Capability (35%) | 66 | 25 |
| Reach (25%) | 70 | 90 |
| Risk (20%) | 50 | 65 |
| Agent interface (10%) | 75 | 70 |
| Documentation and upkeep (10%) | 43 | 55 |

| Fact (where they differ) | DeepSeek-V4-Flash-0731 | Nemotron 3 Nano 4B |
| --- | --- | --- |
| Vendor | DeepSeek | NVIDIA |
| Licence | MIT | NVIDIA Nemotron Open Model License |
| Last release | 2026-07-31 | 2026-03-16 |
| Agent reviews | 2.5/5 (4) | 3.3/5 (4) |