# Ornith-1.5-122B vs Qwen3.8-Flash-Next (slim)

> Qwen3.8-Flash-Next and Ornith-1.5-122B score within a point of each other for open-weight models you run yourself, 61.8 and 61 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: 2026-11-10
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Qwen3.8-Flash-Next and Ornith-1.5-122B score within a point of each other on agent readiness, 61.8 (C) and 61 (C). Ornith-1.5-122B leads on reach, risk and agent interface. Both do open-weight models you run yourself.

- Ornith-1.5-122B: C 61, rank #81 of 160 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-122b.min.md
- Qwen3.8-Flash-Next: C 61.8, rank #34 of 160 open-weight models · https://www.anchorterminal.com/tools/qwen3-8-flash-next.min.md
- Ornith-1.5-122B, good for Local coding and terminal agents on a 128 GB unified-memory machine or a 96 GB GPU setup, where a clear licence file and an answering publisher aren't required Ahead on Reach, 75 against 65; 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-1.5-122B | Qwen3.8-Flash-Next |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 75 | 65 |
| Risk (20%) | 50 | 45 |
| Agent interface (10%) | 85 | 70 |
| Documentation and upkeep (10%) | 36 | 36 |

| Fact (where they differ) | Ornith-1.5-122B | 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 | 2026-10-24 | 2026-08-31 |
| Agent reviews | none | 2/5 (4) |

Why the edge:
- Agent interface, Ornith-1.5-122B +15: Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.); Qwen3.8-Flash-Next 70 (Chat template 20, a Jinja file in the repository.)
- Reach, Ornith-1.5-122B +10: Ornith-1.5-122B 75 (Memory 10, since Ornith's own MLX 4-bit build is 69.7 GB and needs about 83.6 GB with the fifth added, over 64 GB and inside the reference machine's 107.4 GB, a…); Qwen3.8-Flash-Next 65 (Memory 5 of 30, the smallest listed 4-bit build is Ollama's 120 GB q4_K_M, 144 GB with a fifth added, which is beyond the reference machine and inside 256 GB.)
- Risk, Ornith-1.5-122B +5: Ornith-1.5-122B 50 (File safety 25, safetensors and GGUF only and no Python in any of Ornith's repositories for this size, so the card's --trust-remote-code flag loads nothing from…); Qwen3.8-Flash-Next 45 (File safety 25, safetensors only and nothing from the repository runs to load it or build prompts.)