{"slug": "ornith-1-5-397b", "title": "Ornith-1.5-397B", "summary": "Ornith AI released Ornith-1.5-397B, a 403B-parameter mixture-of-experts agentic-coding model, on 2026-08-18, claiming coding scores on par with Claude Opus 4.8 and ahead of GLM-5.2 and DeepSeek-V4-Flash-0731, with MIT licensing on HuggingFace. The model, built on continued pretraining of Qwen 3.5 and Gemma 4 with a self-improvement loop, requires server-class hardware and is not suitable for single-RTX-5090 or DGX Spark systems.", "body_md": "# Ornith-1.5-397B\n\nMoE workstation**~403B total params, MoE** - Ornith AI’s flagship self-improving agentic-coding model, released 2026-08-18. Built on continued pretraining of Qwen 3.5 / Gemma 4, then a self-improvement loop where the model proposes new tasks, generates task-specific scaffolds, and produces solution rollouts for RL (all three stages optimized jointly with GRPO). 262K context, MIT-licensed on HuggingFace at `ornith-ai/Ornith-1.5-397B`\n\n(FP8, GGUF, and NVFP4 quantizations).\n\n-\n**Coding (vendor self-reported, 5-run average):** Terminal-Bench 2.1 86.1, SWE-bench Verified 86.0, SWE-bench Pro 65.1, DeepSWE 56.0, NL2Repo 59.5 - on par with Claude Opus 4.8 and ahead of GLM-5.2 and DeepSeek-V4-Flash-0731. -\n**Reasoning:** HLE 44.6 (no tools) / 56.1 (with tools), GPQA-Diamond 92.8. -\n**Agentic:** MCP-Atlas 80.0, Toolathlon-Verified 71.2, ClawEval 81.4.\n\n**Server-class only.** ~403B MoE needs serious multi-GPU hardware (or a quantized GGUF on a workstation-class machine); it is not a single-RTX-5090 or DGX Spark model. Treat vendor benchmarks as claims until independently replicated on Artificial Analysis.\n\n- 403.0B\n- 262k\n- mit\n- 🇺🇸 USA\n- Aug 2026\n\n## Scores\n\n## Run it locally\n\nPer-quant memory needs and a static \"can you run it?\" reference - no rig entry required\n\n### Can you run it? - reference rigs\n\n| Rig | Q4_K_M | Q5_K_M | Q6_K | Q8_0 |\n|---|---|---|---|---|\n| NVIDIA Jetson Orin NX 16GB |\n|\n\n[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)[no -> cloud](#cloud-pricing)Fit tiers use the same will-it-run logic as the rig finder. For comfortable fits, the badge reflects decode speed: fast >=20 t/s, ok 8-20 t/s, slow <8 t/s. t/s is a bandwidth estimate, not a measured benchmark.\n\n## Download options\n\n## Or run it in the cloud\n\nNo per-token API provider pricing tracked for Ornith-1.5-397B yet.\nFor flagship list prices, see the\n[calculator](/calculator).\n\n## Inference cost over time\n\nData accumulates from the first daily sync - longer ranges populate over time. Prices come from OpenRouter snapshots, not a historical API.", "url": "https://wpnews.pro/news/ornith-1-5-397b", "canonical_source": "https://tokenstead.ai/models/ornith-1-5-397b", "published_at": "2026-08-26 08:07:44+00:00", "updated_at": "2026-08-26 08:13:48.251604+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-research", "ai-products", "ai-tools"], "entities": ["Ornith AI", "Ornith-1.5-397B", "Qwen 3.5", "Gemma 4", "HuggingFace", "Claude Opus 4.8", "GLM-5.2", "DeepSeek-V4-Flash-0731"], "alternates": {"html": "https://wpnews.pro/news/ornith-1-5-397b", "markdown": "https://wpnews.pro/news/ornith-1-5-397b.md", "text": "https://wpnews.pro/news/ornith-1-5-397b.txt", "jsonld": "https://wpnews.pro/news/ornith-1-5-397b.jsonld"}}