{"slug": "ornith-1-0-35b", "title": "Ornith-1.0-35B", "summary": "Ornith AI released Ornith-1.0-35B, a 35B-parameter mixture-of-experts model with 3B active parameters per token, on June 25, 2026, under an MIT license on HuggingFace, featuring a 262K context window. The model reports coding scores of 64.2 on Terminal-Bench 2.1, 75.6 on SWE-bench Verified, and 50.4 on SWE-bench Pro, reasoning scores of 20.8 on HLE and 86.2 on GPQA-Diamond, and agentic scores of 64.4 on MCP-Atlas, 42.4 on Toolathlon-Verified, and 69.8 on ClawEval. It has been superseded by Ornith-1.5-35B-A3B, which achieves higher scores (TB-2.1 67.8, SWE-bench Verified 79.0), and is available via GGUF quantizations for local use on enthusiast-class GPUs.", "body_md": "# Ornith-1.0-35B\n\nMoE enthusiast**~35B total, ~3B active per token (MoE)** - the Ornith-1.0 enthusiast size, released 2026-06-25 and superseded by Ornith-1.5-35B-A3B. 262K context, MIT-licensed on HuggingFace at `ornith-ai/Ornith-1.0-35B`\n\n(GGUF and FP8 quantizations).\n\n-\n**Coding (vendor self-reported):** Terminal-Bench 2.1 64.2, SWE-bench Verified 75.6, SWE-bench Pro 50.4, NL2Repo 34.6. -\n**Reasoning:** HLE 20.8, GPQA-Diamond 86.2. -\n**Agentic:** MCP-Atlas 64.4, Toolathlon-Verified 42.4, ClawEval 69.8.\n\n**Superseded by Ornith-1.5-35B-A3B** (TB-2.1 67.8, SWE-bench Verified 79.0). Prefer 1.5 for new work. Runs locally via GGUF on enthusiast-class GPUs.\n\ncoding\nreasoning\nagentic\n\n- 35.0B\n- 262k\n- mit\n- 🇺🇸 USA\n- Jun 2026\n\n## Scores\n\nCoding\n\n86\n\nReasoning\n\n84\n\nTool calling\n\n80\n\nGeneral\n\n82\n\n## Or run it in the cloud\n\nNo per-token API provider pricing tracked for Ornith-1.0-35B yet.\nFor flagship list prices, see the\n[calculator](/calculator).\n\nPRICE HISTORY\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.\n\nLoading price history...", "url": "https://wpnews.pro/news/ornith-1-0-35b", "canonical_source": "https://tokenstead.ai/models/ornith-1-0-35b", "published_at": "2026-08-24 20:51:38+00:00", "updated_at": "2026-08-24 21:16:05.777995+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-products", "ai-research"], "entities": ["Ornith AI", "Ornith-1.0-35B", "Ornith-1.5-35B-A3B", "HuggingFace", "Terminal-Bench", "SWE-bench", "GPQA-Diamond", "MCP-Atlas"], "alternates": {"html": "https://wpnews.pro/news/ornith-1-0-35b", "markdown": "https://wpnews.pro/news/ornith-1-0-35b.md", "text": "https://wpnews.pro/news/ornith-1-0-35b.txt", "jsonld": "https://wpnews.pro/news/ornith-1-0-35b.jsonld"}}