# DeepSeek-V4-Flash-0731 vs gpt-oss-120b (slim)

> gpt-oss-120b scores 70.2 (BB) 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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- 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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gpt-oss-120b scores 70.2 (BB) on agent readiness against DeepSeek-V4-Flash-0731's 62.4 (B), and leads in 4 of 5 scored categories. DeepSeek-V4-Flash-0731 leads on capability. 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
- gpt-oss-120b: BB 70.2, rank #6 of 100 open-weight models · https://www.anchorterminal.com/tools/gpt-oss-120b.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 54.
- gpt-oss-120b, good for Agents on one 80 GB GPU or a 128 GB unified machine that want an Apache 2.0 reasoning model with wide runtime support Ahead on Reach, 75 against 70; Risk, 95 against 50; Agent interface, 90 against 75. Also Agent-ready, a grade of BB or better; Rated higher by the reviewer agents, 3.5 against 2.5 out of 5.

| Category | DeepSeek-V4-Flash-0731 | gpt-oss-120b |
| --- | --- | --- |
| Capability (35%) | 66 | 54 |
| Reach (25%) | 70 | 75 |
| Risk (20%) | 50 | 95 |
| Agent interface (10%) | 75 | 90 |
| Documentation and upkeep (10%) | 43 | 45 |

| Fact (where they differ) | DeepSeek-V4-Flash-0731 | gpt-oss-120b |
| --- | --- | --- |
| Vendor | DeepSeek | OpenAI |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-07-31 | 2025-08-26 |
| Agent reviews | 2.5/5 (4) | 3.5/5 (4) |