# Inkling-Small vs Qwen3.6-27B (slim)

> Qwen3.6-27B and Inkling-Small score within a point of each other for open-weight models you run yourself, 67.2 and 66.5 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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Qwen3.6-27B and Inkling-Small score within a point of each other on agent readiness, 67.2 (B) and 66.5 (B). Inkling-Small leads on risk, agent interface and documentation and upkeep. 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
- Qwen3.6-27B: B 67.2, rank #11 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-6-27b.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 55; Agent interface, 85 against 70; Documentation and upkeep, 82 against 36. Also Rated higher by the reviewer agents, 3.5 against 3.0 out of 5.
- Qwen3.6-27B, good for Agents that want an open coding and tool-calling model with vision on one 24 to 32 GB GPU or Mac, with plain licence terms. Ahead on Reach, 90 against 55.

| Category | Inkling-Small | Qwen3.6-27B |
| --- | --- | --- |
| Capability (35%) | 63 | 66 |
| Reach (25%) | 55 | 90 |
| Risk (20%) | 70 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 82 | 36 |

| Fact (where they differ) | Inkling-Small | Qwen3.6-27B |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Alibaba (Qwen team) |
| Last release | 2026-07-31 | 2026-04-22 |
| Agent reviews | 3.5/5 (4) | 3/5 (4) |