Ornith 1.0 397B Aloha! 🌺 Today, we are releasing Ornith 1.0, a self improving family of open source models for agentic coding. Highlights: State of the Art Coding Agents : Available in 9B Dense, 31B Dense, 35B MoE, and 397B MoE (post trained on top of Gemma 4 and Qwen 3.5), achieving state of the art performance among open source models of comparable size on coding benchmarks such as Terminal Bench 2.1, SWE Bench, NL2Repo and OpenClaw. Self Improving Training Framework : Ornith 1.0 employs RL to learn to generate not only solution rollouts, but also the scallfold that drive those rollouts. By jointly optimizing the scaffold and the resulting solution, the model discovers better search trajectories and generates higher quality solutions. Licence : MIT licensed, globally accessible, and free from regional limitations. Ornith 1.0 397B This model card documents Ornith 1.0 397B , the lightweight member of the Ornith family, designed for efficient single GPU deployment. Benchmarks Ornith 1.0 397B Qwen3.5 397B Qwen3.7 Max GLM 5.2 744B Minimax M3 428B DeepSeek V4 Pro 1.6T Claude Opus 4.7 Claude Opus 4.8 Agentic Coding Terminal Bench 2.1 (Terminus 2) 77.5 53.5 73.5 81.0 64 64 70.3 85 Termi…
We use cookies for essential functionality and analytics. You can accept or reject analytics cookies.Cookie policy