Ornith-1.0 open-sources four agentic coding models, with the 397B variant claiming parity with Claude Opus 4.8

Ornith-1.0 开源智能体编程模型发布

Ornith-1.0 ships four sizes—9B, 31B, 35B MoE, and 397B MoE—post-trained on gemma4 and qwen3.5 with RL that jointly optimizes task scaffolding and solution self-improvement. The 397B hits 77.5 on Terminal-Bench 2.1 and 82.4 on SWE-Bench Verified. The main tweet claims it matches or beats Claude Opus 4.8, but the post doesn't provide Opus 4.8's numbers for comparison, so take that with a grain of salt. All models are MIT-licensed.

Why it matters: Open-source coding agent model, 397B hits 82.4 on SWE-Bench Verified, MIT license, four sizes. Scores are solid and the license is friendly, but the release is an X post rather than an official blog or paper — details on training data and RL config aren't spelled out, so it do...