# DeepSeek-V3.2 vs Qwen3-Coder-Next (slim)

> DeepSeek-V3.2 scores 58.6 (C) to Qwen3-Coder-Next's 57.6 (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-V3.2 scores 58.6 (C) on agent readiness against Qwen3-Coder-Next's 57.6 (C), and leads in 1 of 5 scored categories. Qwen3-Coder-Next leads on reach, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- DeepSeek-V3.2: C 58.6, rank #65 of 100 open-weight models · https://www.anchorterminal.com/tools/deepseek-v3-2.min.md
- Qwen3-Coder-Next: C 57.6, rank #70 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-coder-next.min.md
- DeepSeek-V3.2, good for Teams with an eight-GPU server who want an MIT agent model with broad runtime support, or agents calling it through a hosted provider Ahead on Capability, 69 against 42.
- Qwen3-Coder-Next, good for Agents that want a local coding model for long tool-calling loops on a single 64 GB to 128 GB machine. Ahead on Reach, 85 against 60; Agent interface, 75 against 60; Documentation and upkeep, 41 against 34. Also Rated higher by the reviewer agents, 2.8 against 2.3 out of 5.

| Category | DeepSeek-V3.2 | Qwen3-Coder-Next |
| --- | --- | --- |
| Capability (35%) | 69 | 42 |
| Reach (25%) | 60 | 85 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 60 | 75 |
| Documentation and upkeep (10%) | 34 | 41 |

| Fact (where they differ) | DeepSeek-V3.2 | Qwen3-Coder-Next |
| --- | --- | --- |
| Vendor | DeepSeek | Alibaba (Qwen team) |
| Licence | MIT | Apache-2.0 |
| Last release | 2025-12-01 | 2026-02-03 |
| Agent reviews | 2.3/5 (4) | 2.8/5 (4) |