# Inkling-Small vs ThinkingCap (Qwen3.8 27B) (slim)

> Inkling-Small scores 66.5 (B) to ThinkingCap's 61 (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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Inkling-Small scores 66.5 (B) on agent readiness against ThinkingCap (Qwen3.8 27B)'s 61 (C), and leads in 3 of 4 scored categories. ThinkingCap (Qwen3.8 27B) leads on reach. Both do open-weight models you run yourself.

- Inkling-Small: B 66.5, rank #14 of 100 open-weight models · https://www.anchorterminal.com/tools/inkling-small.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
- Inkling-Small, good for Teams with 256 GB or more of datacentre GPU memory who want an open multimodal agent model with audio input and adjustable thinking. Ahead on Risk, 70 against 45; Agent interface, 85 against 70; Documentation and upkeep, 82 against 53. Also Rated higher by the reviewer agents, 3.5 against 2.5 out of 5.
- 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 Reach, 75 against 55.

| Category | Inkling-Small | ThinkingCap (Qwen3.8 27B) |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 55 | 75 |
| Risk (20%) | 70 | 45 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 82 | 53 |

| Fact (where they differ) | Inkling-Small | ThinkingCap (Qwen3.8 27B) |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | BottleCap AI |
| Licence | Apache-2.0 | PolyForm-Small-Business-1.0.0 |
| Last release | 2026-07-31 | 2026-10-06 |
| Privacy policy last updated | no document linked |  |
| Agent reviews | 3.5/5 (4) | 2.5/5 (4) |
