Ornith-1.0 Open-Source Coding Model Review 2026

Introduction

Ornith-1.0 is a groundbreaking open-source coding model developed by DeepReinforce. It is designed with self-learning RL (Reinforcement Learning) scaffolds, making it a unique addition to the landscape of AI coding models.

Key Features

  • Self-Learning RL Scaffolds: Ornith-1.0 learns its own reinforcement learning framework, enabling it to adapt and improve its coding capabilities over time.
  • Model Sizes: Available in 9B, 31B, 35B-MoE, and 397B-MoE configurations.
  • Performance: Achieves a Terminal-Bench 2.1 score of 77.5 and SWE-bench Verified score of 82.4.
  • Security: Fixed trust boundary against reward hacking.
  • Compatibility: Compatible with OpenHands, OpenClaw, and OpenCode.

Technical Details

Ornith-1.0 is released under the MIT license, ensuring broad accessibility and adaptability for developers.

Benchmark Results

BenchmarkScore
Terminal-Bench 2.177.5
SWE-bench Verified82.4

Comparison with Other Models

Ornith-1.0 outperforms many existing models, including Claude Opus 4.7, in various coding tasks.

Conclusion

Ornith-1.0 represents a significant leap forward in AI coding models, thanks to its self-learning capabilities and robust performance. It is an excellent choice for developers looking to leverage advanced AI for coding tasks.