# DeepSeek-V3.2 vs Swift 1.5 Qwen3.8-27B (slim)

> Swift 1.5 Qwen3.8-27B scores 61 (C) to DeepSeek-V3.2's 58.6 (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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Swift 1.5 Qwen3.8-27B scores 61 (C) on agent readiness against DeepSeek-V3.2's 58.6 (C), and leads in 2 of 4 scored categories. 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
- Swift 1.5 Qwen3.8-27B: C 61, rank #49 of 100 open-weight models · https://www.anchorterminal.com/tools/swift-1-5-qwen3-8-27b.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
- Swift 1.5 Qwen3.8-27B, good for Agents on a 24 to 32 GB GPU or Mac that want Qwen3.8-27B's skills with shorter thinking, for teams under US$1M revenue or research. Ahead on Reach, 80 against 60; Documentation and upkeep, 43 against 34.

| Category | DeepSeek-V3.2 | Swift 1.5 Qwen3.8-27B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 60 | 80 |
| Risk (20%) | 50 | 50 |
| Agent interface (10%) | 60 | 60 |
| Documentation and upkeep (10%) | 34 | 43 |

| Fact (where they differ) | DeepSeek-V3.2 | Swift 1.5 Qwen3.8-27B |
| --- | --- | --- |
| Vendor | DeepSeek | UkisAI |
| Licence | MIT | Swift Open License v1.0 (custom, not an OSI licence) on UkisAI's changes, free for commercial use below US$1M gross annual revenue with a separate Swift Enterprise License above it. Built on Qwen3.8-27B, whose Apache 2.0 still governs the base |
| Last release | 2025-12-01 | 2026-09-24 |
| Terms last updated | no document linked |  |