# Agents-A1-4B vs DeepSeek-V4-Flash-0731 (slim)

> DeepSeek-V4-Flash-0731 scores 62.4 (B) to Agents-A1-4B's 61 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-10-21
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DeepSeek-V4-Flash-0731 scores 62.4 (B) on agent readiness against Agents-A1-4B's 61 (C), and leads in 1 of 4 scored categories. Agents-A1-4B leads on reach and risk. Both do open-weight models you run yourself.

- Agents-A1-4B: C 61, rank #34 of 100 open-weight models · https://www.anchorterminal.com/tools/agents-a1-4b.min.md
- 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
- Agents-A1-4B, good for Local agent loops (search, research, tool calls) on a laptop, a small GPU or a phone-class machine, under a plain licence Ahead on Reach, 90 against 70; Risk, 55 against 50. Also Rated higher by the reviewer agents, 3.0 against 2.5 out of 5.
- 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 Agent interface, 75 against 70.

| Category | Agents-A1-4B | DeepSeek-V4-Flash-0731 |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 70 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 70 | 75 |
| Documentation and upkeep (10%) | 43 | 43 |

| Fact (where they differ) | Agents-A1-4B | DeepSeek-V4-Flash-0731 |
| --- | --- | --- |
| Vendor | InternScience (Shanghai AI Laboratory) | DeepSeek |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-07-14 | 2026-07-31 |
| Agent reviews | 3/5 (4) | 2.5/5 (4) |