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

> Qwen3.8-27B scores 68.6 (B) to Inkling's 64.2 (B) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/inkling-vs-qwen3-8-27b.md (~5,850 tokens) · this version ~430 tokens · JSON https://www.anchorterminal.com/compare/inkling-vs-qwen3-8-27b.json · canonical https://www.anchorterminal.com/compare/inkling-vs-qwen3-8-27b
- 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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Qwen3.8-27B scores 68.6 (B) on agent readiness against Inkling's 64.2 (B), and leads in 2 of 5 scored categories. Inkling leads on risk, agent interface and documentation and upkeep. Both do open-weight models you run yourself.

- Inkling: B 64.2, rank #20 of 100 open-weight models · https://www.anchorterminal.com/tools/inkling.min.md
- Qwen3.8-27B: B 68.6, rank #10 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-8-27b.min.md
- Inkling, good for Agents calling a hosted open multimodal model with audio input, or teams with a multi-GPU datacentre node who want to run it themselves. Ahead on Risk, 70 against 55; Agent interface, 85 against 70; Documentation and upkeep, 82 against 36.
- Qwen3.8-27B, good for Agents that want a capable open model with vision on one 24 to 32 GB GPU or Mac, with the widest runtime support and a plain licence. Ahead on Capability, 70 against 60; Reach, 90 against 50.

| Category | Inkling | Qwen3.8-27B |
| --- | --- | --- |
| Capability (35%) | 60 | 70 |
| Reach (25%) | 50 | 90 |
| Risk (20%) | 70 | 55 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 82 | 36 |

| Fact (where they differ) | Inkling | Qwen3.8-27B |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Alibaba (Qwen team) |
| Last release | 2026-07-23 | 2026-08-14 |
