Qwen 3.7
Multilingual open-weights — strong on Chinese reasoning.
What is Qwen 3.7?
Qwen 3.7 is the Alibaba frontier model with a 256,000 tokens context window, released 2026-06. Tagline: Multilingual open-weights — strong on Chinese reasoning.. Official source: chat.qwen.ai.
Pricing detail. Alibaba's open-weights release — downloadable from Hugging Face, runnable locally or via Alibaba Cloud's free tier for individuals.
How I use it inside the Agent OS. Wired alongside GLM-5.2 in Agent OS for open-weights agent loops where you want vendor diversity.
What I built with Qwen 3.7
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 Qwen 3.7 shipped on the bench: 47 one-shot demos across 256,000 tokens of context. Of those, 47 are scored against the field with my honest 0–10 from the source guides at agentos.guide.
Strengths
- Open weights, free for individuals — same model class as GLM-5.2
- Best-of-three on fluid simulation in the Goldie Bench bench
- Multilingual depth — Chinese reasoning especially strong
Trade-offs
- Only 5 tasks scored on the bench so far — small sample size
- Trails GLM-5.2 on cinematic visual builds at similar pricing
Best for
- Open-weights alternative to GLM-5.2 when you want a different model family
- Multilingual workloads (Chinese, multi-script content)
- Fluid and particle simulations
Every benchmark — Qwen 3.7's full scorecard
All 47 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 Qwen 3.7 deep dive →.
Every demo by Qwen 3.7
47 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 Qwen 3.7 against every other model
Every head-to-head featuring Qwen 3.7. 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:
Qwen 3.7 vs Fusion Qwen 3.7 vs Claude Opus 5 Qwen 3.7 vs Hermes MoA Qwen 3.7 vs GPT-5.6 Sol Qwen 3.7 vs Claude Fable 5 Qwen 3.7 vs Qwen 3.8 Qwen 3.7 vs Grok Qwen 3.7 vs MiniMax M3 Qwen 3.7 vs Fugu Ultra Qwen 3.7 vs Kimi K3 Qwen 3.7 vs GLM-5.2 Qwen 3.7 vs Fugu Mini Qwen 3.7 vs Claude Opus 5.5 Qwen 3.7 vs Muse Spark 1.2 Qwen 3.7 vs Opus 4.8 Qwen 3.7 vs Kimi K2.7 Qwen 3.7 vs Grok 4.7 Qwen 3.7 vs Qwable 5 27B Coder Qwen 3.7 vs Gemini 3.6 Flash Qwen 3.7 vs Claude Sonnet 5 Qwen 3.7 vs Fugu Ultra 1.1 Qwen 3.7 vs MiMo-V2.6 Pro Qwen 3.7 vs Inkling Qwen 3.7 vs Grok 4.6 Qwen 3.7 vs Agents-A1 Qwen 3.7 vs Gemma 4 12B · MLX Qwen 3.7 vs Laguna XS 2.1 Qwen 3.7 vs Qwythos 9B Qwen 3.7 vs LongCat-2.0 Qwen 3.7 vs Hy3 Qwen 3.7 vs Gemma-4 12B CoderRead more on agentos.guide: /glm-vs-qwen-vs-opus, /qwen-hermes
Qwen 3.7 — frequently asked
What is Qwen 3.7?
Qwen 3.7 is Alibaba's AI model — Multilingual open-weights — strong on Chinese reasoning. It has a 256K tokens context window and was released 2026-06.
How good is Qwen 3.7 at coding and one-shot builds?
On the GoldieBench one-shot build benchmark it averages 7.00/10 across 47 scored tasks, with 0 gold, 0 silver and 0 bronze medals.
How much does Qwen 3.7 cost?
Open weights · free for individuals. Alibaba's open-weights release — downloadable from Hugging Face, runnable locally or via Alibaba Cloud's free tier for individuals.
Where can I see Qwen 3.7 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 3,400+ founders shipping with it every day all live inside the AI Profit Boardroom.