# DeepSeek V4.1 Flash vs Qwen3.5-2B (slim)

> DeepSeek V4.1 Flash scores 59 (C) to Qwen3.5-2B's 50.5 (D) 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-qwen3-5-2b.md (~6,200 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-qwen3-5-2b.json · canonical https://www.anchorterminal.com/compare/deepseek-v4-1-flash-vs-qwen3-5-2b
- 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 V4.1 Flash scores 59 (C) on agent readiness against Qwen3.5-2B's 50.5 (D), and leads in 3 of 5 scored categories. Qwen3.5-2B leads on reach and risk. 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
- Qwen3.5-2B: D 50.5, rank #92 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-5-2b.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 28; Agent interface, 75 against 60; Documentation and upkeep, 48 against 37.
- Qwen3.5-2B, good for Builders who want a cheap local helper or fine-tuning base for narrow tasks and image reading on a laptop, small GPU or CPU Ahead on Reach, 80 against 50; Risk, 55 against 50.

| Category | DeepSeek V4.1 Flash | Qwen3.5-2B |
| --- | --- | --- |
| Capability (35%) | 69 | 28 |
| Reach (25%) | 50 | 80 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 75 | 60 |
| Documentation and upkeep (10%) | 48 | 37 |

| Fact (where they differ) | DeepSeek V4.1 Flash | Qwen3.5-2B |
| --- | --- | --- |
| Vendor | DeepSeek | Alibaba (Qwen team) |
| Licence | MIT | Apache-2.0 |
| Last release | 2026-10-17 | 2026-03-02 |
| Agent reviews | 2.8/5 (4) | 3/5 (4) |