Qwythos 9B
A Claude-style creative & reasoning 9B with a full 1M-token context — the local writer & thinker.
What is Qwythos 9B?
Qwythos 9B is the Richard Young · DeepNeuro (abliterated build of empero-ai's Qwythos, Qwen3.5 base) frontier model with a 1,048,576 tokens (YaRN, Qwen3.5-9B base) context window, released 2026-06. Tagline: A Claude-style creative & reasoning 9B with a full 1M-token context — the local writer & thinker.. Official source: ollama.com/richardyoung/qwythos-9b-abliterated.
Pricing detail. Qwythos (model ID: richardyoung/qwythos-9b-abliterated) is an abliterated build of empero-ai's Qwythos-9B-Claude-Mythos — a Claude-style creative & reasoning model on a Qwen3.5-9B base, post-trained on Claude Mythos & Fable traces, with a 1M-token context. Thinking model (<think>), native function-calling. Refusals trimmed via the Heretic library (53/100, KL 0.0066). Q4_K_M is 5.6GB, runs 100% offline.
How I use it inside the Agent OS. Loaded in Ollama as the local long-context + creative option. Now fully bench-scored (42/42, avg 2.98): it handles simpler page and arcade builds, but most of its ambitious one-shot 3D/WebGL attempts errored out — an honest read on a free 9B's ceiling for hard one-shots.
What I built with Qwythos 9B
Every model on Goldie Bench gets the same fixed prompt set — one shot, single HTML file out — and I score the result 0–10 inside the Agent Operating System. Here's what Qwythos 9B shipped on the bench: 42 one-shot demos across 1,048,576 tokens (YaRN, Qwen3.5-9B base) of context. Of those, 42 are scored against the field with my honest 0–10 from the source guides at agentos.guide.
Strengths
- Full 1M-token context locally — matches frontier-cloud models on context length, at $0
- Fast on a Mac — a steady ~52 tokens/sec on real builds (M4 Max), just 5.6GB on disk
- Open-weights (Qwen3.5 base), runs 100% on-device via Ollama — free and private
- Best bench builds: Nordic Crypt 6.8, Racing 6.5, Neon Blaster 6.4, Arcade 6.2, Landing 6.0
Trade-offs
- 9B ceiling — bench-scored 2.98/10 avg (42/42), last on the one-shot creative-coding suite
- Ambitious 3D/WebGL one-shots often ship with real bugs — bare `three` imports, const reassignment, undefined refs — so they render blank
- Strong on simpler page/arcade/2D tasks; falls apart on complex graphics where frontier models hold up
Best for
- Long-context local tasks (large file refactors, multi-file analysis) where 1M ctx matters
- Cost-zero daily coding work on a consumer Mac
- Workflows where you want an unfiltered local coder without API guardrails
Every benchmark — Qwythos 9B's full scorecard
All 42 scored tasks, best first — the judge's 0–10 on the same rubric as the whole field. Click any bar for that task's cross-model page, or open this scorecard in the interactive graphs. Full editorial breakdown with judge quotes and sourced outside research: the Qwythos 9B deep dive →.
Every demo by Qwythos 9B
42 live demos, sorted by category. Click any tile to play the actual one-shot result. Verdicts and 0–10 scores are pulled from the source guides where I posted them publicly.
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▶ LIVECompare Qwythos 9B against every other model
Every head-to-head featuring Qwythos 9B. Verdicts shown for scored pairs.
See all 66 comparisons across every model →
Quick pill index
Direct comparisons against every other scored model on the bench:
Qwythos 9B vs Fusion Qwythos 9B vs Claude Opus 5 Qwythos 9B vs Hermes MoA Qwythos 9B vs GPT-5.6 Sol Qwythos 9B vs Claude Fable 5 Qwythos 9B vs Qwen 3.8 Qwythos 9B vs Grok Qwythos 9B vs MiniMax M3 Qwythos 9B vs Fugu Ultra Qwythos 9B vs Kimi K3 Qwythos 9B vs GLM-5.2 Qwythos 9B vs Fugu Mini Qwythos 9B vs Muse Spark 1.2 Qwythos 9B vs Opus 4.8 Qwythos 9B vs Kimi K2.7 Qwythos 9B vs Qwable 5 27B Coder Qwythos 9B vs Gemini 3.6 Flash Qwythos 9B vs Claude Sonnet 5 Qwythos 9B vs Qwen 3.7 Qwythos 9B vs Fugu Ultra 1.1 Qwythos 9B vs Inkling Qwythos 9B vs Grok 4.6 Qwythos 9B vs Agents-A1 Qwythos 9B vs Gemma 4 12B · MLX Qwythos 9B vs Laguna XS 2.1 Qwythos 9B vs LongCat-2.0 Qwythos 9B vs Hy3 Qwythos 9B vs Gemma-4 12B CoderRead more on agentos.guide:
Qwythos 9B — frequently asked
What is Qwythos 9B?
Qwythos 9B is Richard Young · DeepNeuro (abliterated build of empero-ai's Qwythos, Qwen3.5 base)'s AI model — A Claude-style creative & reasoning 9B with a full 1M-token context — the local writer & thinker. It has a 1M tokens context window and was released 2026-06.
How good is Qwythos 9B at coding and one-shot builds?
On the GoldieBench one-shot build benchmark it averages 2.98/10 across 42 scored tasks, with 0 gold, 0 silver and 0 bronze medals.
How much does Qwythos 9B cost?
Free · runs locally. Qwythos (model ID: richardyoung/qwythos-9b-abliterated) is an abliterated build of empero-ai's Qwythos-9B-Claude-Mythos — a Claude-style creative & reasoning model on a Qwen3.5-9B base, post-trained on Claude Mythos & Fa
Where can I see Qwythos 9B demos?
Every one-shot build is live and playable on this page and on the GoldieBench compare matrix — same prompt as every other model, no retries.
Run this stack yourself.
Every demo on this bench was built inside the Agent Operating System — one prompt, one shot, single HTML file out. The Agent OS, the prompts, the templates, the weekly walkthroughs and 4,000+ founders shipping with it every day all live inside the AI Profit Boardroom.