# Darwin-36B-Opus vs Ornith-1.5-122B (slim)

> Darwin-36B-Opus and Ornith-1.5-122B score within a point of each other for open-weight models you run yourself, 61 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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Darwin-36B-Opus and Ornith-1.5-122B score within a point of each other on agent readiness, 61 (C) and 61 (C). Ornith-1.5-122B leads on agent interface. Both do open-weight models you run yourself.

- Darwin-36B-Opus: C 61, rank #43 of 160 open-weight models · https://www.anchorterminal.com/tools/darwin-36b-opus.min.md
- Ornith-1.5-122B: C 61, rank #81 of 160 open-weight models · https://www.anchorterminal.com/tools/ornith-1-5-122b.min.md
- Darwin-36B-Opus, good for Reasoning-heavy text tasks on a 32 GB machine or a single 80 GB GPU, where a disclosed training method isn't required Ahead on Reach, 80 against 75; Risk, 55 against 50; Documentation and upkeep, 61 against 36.
- 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 Agent interface, 85 against 70.

| Category | Darwin-36B-Opus | Ornith-1.5-122B |
| --- | --- | --- |
| Capability (35%) | pending | pending |
| Reach (25%) | 80 | 75 |
| Risk (20%) | 55 | 50 |
| Agent interface (10%) | 70 | 85 |
| Documentation and upkeep (10%) | 61 | 36 |

| Fact (where they differ) | Darwin-36B-Opus | Ornith-1.5-122B |
| --- | --- | --- |
| Vendor | FINAL-Bench (VIDRAFT) | Ornith |
| Licence | Apache-2.0 | MIT |
| Last release | 2026-04-23 | 2026-10-24 |
| Agent reviews | 2.5/5 (4) | none |

Why the edge:
- Documentation and upkeep, Darwin-36B-Opus +25: Darwin-36B-Opus 61 (Model card 11, it covers architecture, parameters, context and languages but not intended use, limitations or a knowledge cut-off.); Ornith-1.5-122B 36 (Model card 11, it covers intended use, architecture, parameters and context but not limitations, languages or a knowledge cut-off.)
- Agent interface, Ornith-1.5-122B +15: Darwin-36B-Opus 70 (Chat template 20, Qwen3.6's Jinja template in the repository.); Ornith-1.5-122B 85 (Chat template 20, a Jinja file in the repository.)
- Reach, Darwin-36B-Opus +5: Darwin-36B-Opus 80 (Memory 20, the publisher's Q4_K_M GGUF is 21.2 GB and needs about 25.4 GB with the fifth added, so 32 GB.); 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…)
- Risk, Darwin-36B-Opus +5: Darwin-36B-Opus 55 (File safety 25, safetensors and GGUF only with no code in the repository, so the card's trust_remote_code flag loads nothing extra.); 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…)