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[ARTICLE · art-58550] src=blog.stackademic.com ↗ pub= topic=artificial-intelligence verified=true sentiment=↑ positive

Ornith-1.0 Released: A New King of Agentic Coding Ascends, Open-Sourced under MIT

The Ornith-1.0 family of open-source coding models was released under the MIT license, achieving state-of-the-art results on agentic coding benchmarks including SWE-Bench Verified (82.4) and Terminal-Bench 2.1 (77.5), surpassing closed-source models. The four models range from 9B to 397B parameters, built on Gemma 4 and Qwen 3.5, and are fully deployable locally.

read1 min views1 publishedJul 14, 2026
Ornith-1.0 Released: A New King of Agentic Coding Ascends, Open-Sourced under MIT
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When it comes to coding, open source models have evolved from catching up to taking the lead.

Not an exaggeration. Not clickbait. Early this morning, a model family named Ornith-1.0 was released as open source, sweeping all available benchmarks in the most hardcore arena—Agentic Coding.

SWE-Bench Verified: 82.4. Terminal-Bench 2.1: 77.5. SWE-Bench Pro: 62.2. NL2Repo: 48.2. ClawEval: 77.1. Not "close to closed-source levels." It's "closed-source models haven't even publicly reached this score yet."

When it comes to coding, open source models have gone from chasing to leading. And this time, it's a lead across the full parameter range, fully open-sourced under MIT, fully deployable locally. They even provide a GGUF version.

Four Models, One Ambition #

Ornith-1.0 is not a single model; it's a family. Four specifications covering everything from a laptop to a server cluster.

9B Dense. 31B Dense. 35B MoE. 397B MoE.

The smallest 9B can run on consumer-grade GPUs. The largest 397B MoE is aimed at enterprise-level private deployment. It is post-trained on top of Gemma 4 and Qwen 3.5—standing on the shoulders of giants and…

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