# Inkling-Small vs Qwen3.8-Flash-Next (slim)

> Inkling-Small scores 66.5 (B) to Qwen3.8-Flash-Next's 61.8 (C) for open-weight models you run yourself. Prices, MCP, x402, uptime and agent notes side by side.

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Inkling-Small scores 66.5 (B) on agent readiness against Qwen3.8-Flash-Next's 61.8 (C), and leads in 3 of 5 scored categories. Qwen3.8-Flash-Next leads on capability and 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
- Qwen3.8-Flash-Next: C 61.8, rank #31 of 100 open-weight models · https://www.anchorterminal.com/tools/qwen3-8-flash-next.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 36. Also Rated higher by the reviewer agents, 3.5 against 2.0 out of 5.
- Qwen3.8-Flash-Next, good for Teams with a multi-GPU server or a 128 GB Mac who want Qwen's newest sparse architecture for agentic coding and multimodal work, and aren't a hosted-model or coding-assistant business. Ahead on Capability, 74 against 63; Reach, 65 against 55.

| Category | Inkling-Small | Qwen3.8-Flash-Next |
| --- | --- | --- |
| Capability (35%) | 63 | 74 |
| Reach (25%) | 55 | 65 |
| Risk (20%) | 70 | 45 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 82 | 36 |

| Fact (where they differ) | Inkling-Small | Qwen3.8-Flash-Next |
| --- | --- | --- |
| Vendor | Thinking Machines Lab | Alibaba (Qwen team) |
| Licence | Apache-2.0 | Qwen Community License 1.0 (custom, not an OSI licence). Free of charge, the model name shown in products above 100M monthly users or US$20M monthly revenue, and a separate licence from Qwen before commercial use by a Model as a Service or AI Work Assistant business |
| Last release | 2026-07-31 | 2026-08-31 |
| Agent reviews | 3.5/5 (4) | 2/5 (4) |