Ornith AI released Ornith-1.5-397B, a 403B-parameter mixture-of-experts agentic-coding model, on 2026-08-18, claiming coding scores on par with Claude Opus 4.8 and ahead of GLM-5.2 and DeepSeek-V4-Fla…
Ornith AI released Ornith-1.0-9B, a 9-billion-parameter dense language model, on 2026-06-25, with a 262K context window and MIT license on HuggingFace. The model scores 43.1 on Terminal-Bench 2.1, 69.…
Ornith AI released Ornith-1.5-35B-A3B, a 36B-parameter mixture-of-experts model with 3B active parameters per token, on August 18, 2026, under an MIT license on HuggingFace. The model achieves 79.0 on…
Ornith AI released Ornith-1.5-9B, a 9-billion-parameter dense language model, on August 18, 2026, claiming it matches or exceeds larger models like Gemma 4-31B and Qwen 3.6-35B on agentic coding tasks…
Ornith AI released Ornith-1.0-397B, a 397-billion-parameter mixture-of-experts model with 262K context, on 2026-06-25, now superseded by Ornith-1.5-397B. The model self-reports coding scores of 77.5 o…
Ornith AI released Ornith-1.0-35B, a 35B-parameter mixture-of-experts model with 3B active parameters per token, on June 25, 2026, under an MIT license on HuggingFace, featuring a 262K context window.…
Ornith AI released Ornith-1.5-35B-A3B, a 35B-parameter mixture-of-experts model that activates about 3B parameters per token, trained via a self-improvement loop that jointly optimizes task generation…
Ornith AI, a US open-source lab, released Ornith-1.5, a family of open-weight models in 9B, 35B, and 397B sizes, claiming state-of-the-art open-source performance on coding and agentic tasks. The flag…
Ornith AI released Ornith-1.5, a family of open-source language models under the MIT License, featuring a self-improvement training loop that generates tasks and improves policy through reinforcement …
Ornith AI released Ornith-1.5 on August 19, 2026, an open model family that generates its own training tasks, extending self-scaffolding into task generation. The models propose harder problems, build…