# DeepSeek-V3.2 vs Qwen3-VL-30B-A3B-Instruct (slim)

> DeepSeek-V3.2 and Qwen3-VL-30B-A3B-Instruct score within a point of each other for open-weight models you run yourself, 58.6 and 58 out of 100. 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 and Qwen3-VL-30B-A3B-Instruct score within a point of each other on agent readiness, 58.6 (C) and 58 (C). Qwen3-VL-30B-A3B-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-30B-A3B-Instruct: C 58, rank #68 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-vl-30b-a3b-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 39.
- Qwen3-VL-30B-A3B-Instruct, good for An agent with 24 GB or more to spare that wants a faster, stronger local reader of images, documents and video than the 8B model Ahead on Reach, 95 against 60; Risk, 55 against 50. Also Rated higher by the reviewer agents, 3.0 against 2.3 out of 5.

| Category | DeepSeek-V3.2 | Qwen3-VL-30B-A3B-Instruct |
| --- | --- | --- |
| Capability (35%) | 69 | 39 |
| Reach (25%) | 60 | 95 |
| Risk (20%) | 50 | 55 |
| Agent interface (10%) | 60 | 60 |
| Documentation and upkeep (10%) | 34 | 36 |

| Fact (where they differ) | DeepSeek-V3.2 | Qwen3-VL-30B-A3B-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) | 3/5 (4) |