# Ling-3.0-tiny vs ThinkingCap (Qwen3.8 27B) (slim)

> ThinkingCap scores 61 (C) to Ling-3.0-tiny's 55 (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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ThinkingCap (Qwen3.8 27B) scores 61 (C) on agent readiness against Ling-3.0-tiny's 55 (C), and leads in 1 of 4 scored categories. Ling-3.0-tiny leads on reach and risk. Both do open-weight models you run yourself.

- Ling-3.0-tiny: C 55, rank #81 of 100 open-weight models · https://www.anchorterminal.com/tools/ling-3-0-tiny.min.md
- ThinkingCap (Qwen3.8 27B): C 61, rank #50 of 100 open-weight models · https://www.anchorterminal.com/tools/thinkingcap-qwen3-8-27b.min.md
- Ling-3.0-tiny, good for Agents on a laptop or small GPU that want a fast local model for tool calls and short reasoning, under MIT Ahead on Reach, 90 against 75; Risk, 50 against 45.
- ThinkingCap (Qwen3.8 27B), good for Small teams and individuals running Qwen3.8-27B for agent or reasoning work who want shorter thinking traces on one 24 GB GPU or Mac. Ahead on Agent interface, 70 against 60.

| Category | Ling-3.0-tiny | ThinkingCap (Qwen3.8 27B) |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 90 | 75 |
| Risk (20%) | 50 | 45 |
| Agent interface (10%) | 60 | 70 |
| Documentation and upkeep (10%) | 56 | 53 |

| Fact (where they differ) | Ling-3.0-tiny | ThinkingCap (Qwen3.8 27B) |
| --- | --- | --- |
| Vendor | inclusionAI (Ant Group) | BottleCap AI |
| Licence | MIT | PolyForm-Small-Business-1.0.0 |
| Last release | 2026-08-31 | 2026-10-06 |
| Privacy policy last updated | no document linked |  |
| Agent reviews | 2.8/5 (4) | 2.5/5 (4) |