FrontierThe story, in brief
DeepReinforce Releases Ornith-1.0: An Open-Source Coding Model Family That Learns Its Own RL Scaffolds
82.4 on SWE-Bench Verified. DeepReinforce's new open-source coding model just reset the bar—and it learns its own RL scaffolds.
The KeyNews take
Why it matters
Ornith-1.0 combines novel RL training (learned scaffolds vs. fixed harness) with open-source licensing to challenge closed-model dominance in code generation. This is a capability + distribution play that matters for teams building on OSS foundations.
The key facts
7 to knowOrnith-1.0 flagship: 397B parameters
SWE-Bench Verified score: 82.4
Built on Gemma 4 and Qwen 3.5 base models
MIT license (fully open-source weights)
Novel training approach: learned RL scaffolds (vs. fixed harness)
Released by DeepReinforce
Published June 25, 2026
Go to the source
MarkTechPostmarktechpost.com
Publisher excerpt: DeepReinforce released Ornith-1.0, an open-source coding model family built on Gemma 4 and Qwen 3.5. Instead of a fixed harness, the model learns its own scaffold during reinforcement learning. The 397B flagship reports 82.4 on SWE-Bench Verified, with all weights under the MIT license.