# Ornith-1.5-397B vs Qwen3.8-Flash-Next (slim)

> Qwen3.8-Flash-Next scores 61.8 (C) to Ornith-1.5-397B's 59 (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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Qwen3.8-Flash-Next scores 61.8 (C) on agent readiness against Ornith-1.5-397B's 59 (C), and leads in 0 of 4 scored categories. Ornith-1.5-397B leads on risk and agent interface. Both do open-weight models you run yourself.

- Ornith-1.5-397B: C 59, rank #64 of 100 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-397b.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
- Ornith-1.5-397B, good for A self-hosted frontier-scale coding agent on an 8-GPU server, where a clear licence file and an answering publisher aren't required Ahead on Risk, 50 against 45; Agent interface, 85 against 70.
- 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.

| Category | Ornith-1.5-397B | Qwen3.8-Flash-Next |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 65 | 65 |
| Risk (20%) | 50 | 45 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 36 | 36 |

| Fact (where they differ) | Ornith-1.5-397B | Qwen3.8-Flash-Next |
| --- | --- | --- |
| Vendor | Ornith | Alibaba (Qwen team) |
| Licence | MIT | 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 | 2026-08-23 | 2026-08-31 |
