Alibaba

Qwen 3.7

Multilingual open-weights — strong on Chinese reasoning.

Context256,000 tokens
PricingOpen weights · free for individuals
Tasks tested5
Avg score7.50/10 average
Medals🥇0 🥈3 🥉2
Release2026-06

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..

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: 5 one-shot demos across 256,000 tokens of context. Of those, 5 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 demo by Qwen 3.7

5 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.

Arcade▶ LIVE
Arcade 🥈
Game
The closest test. All three shipped a real, juicy game. Opus's breakout had the most game-feel (particle bursts + live combo). Qwen's neon breakout is clean and vibrant. GLM went its own way with fullscreen asteroids. Genuinely hard to separate.
Landing▶ LIVE
Landing 🥉
Page
GLM and Opus both produced premium gradient 'Intelligence, reimagined / distilled' keynote heroes — basically a tie. Qwen's is clean and well-built (proper nav + three feature cards) but the headline ('Built for the next generation of builders') lands flatter than the gradient heroes.
▶ LIVE
Fluid 🥈
Sim
GLM filled the bowl with glowing liquid that genuinely sloshes — the most convincing of the three. Opus's particles glowed but clumped to the centre, and Qwen's is a solid working sim but reads thinner. Play them and tilt — GLM's is the one that feels like fluid.
Orbit▶ LIVE
Orbit 🥈
Sim
Opus nailed the brief — distinct labelled planet orbits, a real NEO panel, a sim clock. GLM went dramatic with a glowing nebula swirl (gorgeous, but more galaxy than orbit map). Qwen drew a dense, busy orbital swarm — structurally orbit-like but dimmer and harder to read.
Voxel▶ LIVE
Voxel 🥉
Visual
GLM built the densest, most colourful city (windowed skyscrapers + speed/coins HUD). Opus ran the furthest with the cleanest motion. Qwen's is atmospheric — a foggy tunnel of buildings — but more muted and it crashes quicker.

Head-to-heads with Qwen 3.7

Direct comparisons against every other scored model on the bench:

Qwen 3.7 vs Opus 4.8 Qwen 3.7 vs GLM-5.2 Qwen 3.7 vs Kimi K2.7

Read more on agentos.guide: /glm-vs-qwen-vs-opus, /qwen-hermes

The same stack Julian uses

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 3,600+ founders shipping with it every day all live inside the AI Profit Boardroom.

3,600+founders
258documented wins
38countries
$100k+/mocommunity MRR
Join AIPB · $59/mo → Read the Agent OS guides →