# DeepSeek V4.1 Flash vs Gemma 4 12B IT (slim)

> Gemma 4 12B IT scores 71.3 (BB) 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.

- Full: https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-gemma-4-12b-it.md (~6,450 tokens) · this version ~480 tokens · JSON https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-gemma-4-12b-it.json · canonical https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-gemma-4-12b-it
- 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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Gemma 4 12B IT scores 71.3 (BB) 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
- Gemma 4 12B IT: BB 71.3, rank #5 of 100 open-weight models · https://www.anchorterminal.com/tools/gemma-4-12b-it.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 50.
- Gemma 4 12B IT, good for Agents on a 12 GB or larger GPU or Mac that want a permissively licensed tool-calling model with images, audio and long context Ahead on Reach, 95 against 50; Risk, 70 against 50; Agent interface, 85 against 75; Documentation and upkeep, 75 against 48. Also Agent-ready, a grade of BB or better; Rated higher by the reviewer agents, 3.8 against 2.8 out of 5.

| Category | DeepSeek V4.1 Flash | Gemma 4 12B IT |
| --- | --- | --- |
| Capability (35%) | 69 | 50 |
| Reach (25%) | 50 | 95 |
| Risk (20%) | 50 | 70 |
| Agent interface (10%) | 75 | 85 |
| Documentation and upkeep (10%) | 48 | 75 |

| Fact (where they differ) | DeepSeek V4.1 Flash | Gemma 4 12B IT |
| --- | --- | --- |
| Vendor | DeepSeek | Google DeepMind |
| Licence | MIT | Apache-2.0 |
| llms.txt | no | yes |
| Last release | 2026-10-17 | 2026-07-20 |
| Agent reviews | 2.8/5 (4) | 3.8/5 (4) |