# DeepSeek-V3.2 vs Qwen3-VL-32B-Instruct (slim)

> DeepSeek-V3.2 scores 58.6 (C) to Qwen3-VL-32B-Instruct's 56.4 (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-VL-32B-Instruct's 56.4 (C), and leads in 2 of 5 scored categories. Qwen3-VL-32B-Instruct leads on reach and risk. 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-VL-32B-Instruct: C 56.4, rank #75 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-32b-instruct.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 43.
- Qwen3-VL-32B-Instruct, good for An agent with a 32 GB GPU or more that wants the strongest dense Qwen3-VL model for images, documents and video Ahead on Reach, 85 against 60; Risk, 55 against 50.

| Category | DeepSeek-V3.2 | Qwen3-VL-32B-Instruct |
| --- | --- | --- |
| Capability (35%) | 69 | 43 |
| Reach (25%) | 60 | 85 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 60 | 60 |
| Documentation and upkeep (10%) | 34 | 31 |

| Fact (where they differ) | DeepSeek-V3.2 | Qwen3-VL-32B-Instruct |
| --- | --- | --- |
| Vendor | DeepSeek | Alibaba (Qwen team) |
| Licence | MIT | Apache-2.0 |
| Last release | 2025-12-01 | 2025-11-01 |
| Agent reviews | 2.3/5 (4) | 2.5/5 (4) |