Ornith-1.5 Released: Open-Source Challenger to Top Models

Episode 1 · Open-Source Ornith-1.5 Family Launches, 397B MoE Rivals Claude Opus 4.8 (2026-08-19, 24 posts)

On August 19, the open-source Ornith-1.5 model family was officially released in three configurations—9B Dense, 35B MoE, and 397B MoE—under the MIT license, offering a range of scales for different inference needs and resource constraints.

Confirmed

• The models were first released by @tarruda; the three variants (9B Dense, 35B MoE, 397B MoE) and the MIT license are official information.
• The core technical highlight is an end-to-end self-improvement training strategy: as relayed by @rohanpaulai, the model extends the self-scaffolding framework, autonomously proposing new tasks, generating task-specific scaffolds, and producing reinforcement learning solutions—continuously creating its own learning experiences rather than just passively completing tasks.
• Official evaluations claim SOTA among open-source models of the same size on reasoning, Agent, and coding tasks, with performance approaching or even matching Claude Opus 4.8; @rohanpaulai noted that the 397B MoE version has specific benchmark results on Terminal-Bench and others.

Unconfirmed

• Claims like "on par with Claude Opus 4.8" currently come mainly from the publisher's own evaluations and promotion, with no independent third-party replication yet; reposts from @iamfakhrealam and @aftahiai merely repeat the same talking points, adding no new independent evidence.

Why It Matters

• End-to-end self-improvement (the model generating its own learning tasks and scaffolds) is a new paradigm distinct from conventional post-training; if replicated, it could reduce dependence on manually constructed training data.
• The MIT license plus full coverage from 9B up to 397B MoE makes it accessible to everyone from individual developers to large-scale deployments—a direct challenge from the open-source camp to top closed-source models.

• Ornith 1.5 released: 9B dense and 35B/397B MoE models — tarruda · 2026-08-19
• Open-Source Ornith-1.5 Matches Claude Opus in Reasoning and Coding — aftahi_ai · 2026-08-19
• Open-source Ornith-1.5 released under MIT, claims Claude Opus-level performance — iamfakhrealam · 2026-08-19
• Open-source Ornith-1.5 hits SOTA with self-improving strategies — aftahi_ai · 2026-08-19
• Ornith-1.5: Self-Improving Models Match Claude Opus Performance — rohanpaul_ai · 2026-08-19
• Open-source Ornith-1.5 achieves Claude Opus-level performance via self-improvement — aftahi_ai · 2026-08-19
• Ornith-1.5: Self-Improving Open-Source MoE Models Rival Claude Opus — aftahi_ai · 2026-08-19
• Ornith-1.5 Launches: 397B Model Matches Claude Opus in Coding Benchmarks — testingcatalog · 2026-08-19
• Ornith-1.5 open-source family launches, 397B MoE claims Claude Opus 4.8 parity — KokaOP · 2026-08-19
• Ornith-1.5 Released: 9B Model Competes with Larger Peers, MIT Licensed for Commercial Use — Shruti_0810 · 2026-08-20
• Ornith-1.5 Open Source Models Released; 9B Version Rivals Qwen on Mobile — yacineMTB · 2026-08-20
• Open-Weight Ornith-1.5 Matches Claude Opus with 397B MoE Model — Teknium · 2026-08-20
• Ornith-1.5 Released: 397B MoE Model Matches Claude Opus Performance — aftahi_ai · 2026-08-20
• Ornith-1.5-35B Outperforms Qwen and Gemma in Reasoning and Coding — alejandroll10 · 2026-08-20
• Ornith-1.5 released: Self-improving loop matches Claude Opus 4.8 performance — alexcovo_eth · 2026-08-20
• Ornith 1.5 Released: MIT-Licensed 9B/35B Models with Quantization Benchmarks — Fun-Meaning-6474 · 2026-08-20
• Ornith-1.5 Released: Self-Improving Loop Rivals Claude Opus — aftahi_ai · 2026-08-20
• Ornith-1.5 claims Claude Opus 4.8 performance — alexcovo_eth · 2026-08-20
• Ornith-1.5-35B-A3B Trends on HF: Qwen2.5-MoE Multimodal Chatbot — ornith-ai · 2026-08-20
• Open-source Ornith-1.5 release: 397B MoE beats Claude Opus 4.8 on four benchmarks — rohanpaul_ai · 2026-08-20

4 more related posts →

Episode 2 · Open-source Ornith-1.5-9B tops Hugging Face trending chart (2026-08-20, 2 posts)

ornith-ai's Ornith-1.5-9B, built on the Qwen3.5 architecture with multimodal input and MIT licensing, has topped Hugging Face's trending chart, with a GGUF quantized version now available.

• Ornith-1.5-9B trends on Hugging Face with image-text-to-text support — ornith-ai · 2026-08-20
• Ornith-1.5-9B GGUF release trends on Hugging Face — ornith-ai · 2026-08-21