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Real head-to-head · same prompt, one shot

Qwen 3.7 vs Qwen 3.8

Multilingual open-weights — strong on Chinese reasoning. vs Alibaba's 2.4T flagship — benched through Qoder.

Head-to-head verdict: Qwen 3.8 wins 33–5.

Qwen 3.7 · context256K tokens
Qwen 3.8 · contextQoder-hosted
Qwen 3.7 · priceOpen weights · free for individuals
Qwen 3.8 · priceQoder plan
Qwen 3.7 · vendorAlibaba
Qwen 3.8 · vendorAlibaba

What I tested — same prompt, two models

I run the same fixed prompt set through every new model the day it drops — same string, one shot, single HTML file out — and I score the result 0–10 on whether it ran, how close it hit the brief, and how good it looked. Below is what came out when I gave the exact same prompts to Qwen 3.7 and Qwen 3.8, side by side, on 38 shared tasks inside the Agent Operating System.

Both models were given identical prompts inside the Agent Operating System — no help, no iteration, no "best of N" tricks. I run each prompt once, save the HTML file the model produces, and score it 0–10 on whether it ran, how close it hit the brief, and how good it looked. The scoring is mine. The verdicts below are pulled from my source comparison guides at agentos.guide where I publish every score and the reasoning behind it.

Qwen 3.7 · Wired alongside GLM-5.2 in Agent OS for open-weights agent loops where you want vendor diversity.

Qwen 3.8 · Benched on GoldieBench via the Qoder CLI (`qoder-qwen`, model Qwen3.8-Max-Preview) — the only door while it has no public API. Non-game tasks are one-shot like the rest of the field. GAME tasks run in Qoder's real AGENT mode: skill-infused build, then up to 2 QA fix rounds where a vision judge + live console errors are fed back and Qwen 3.8 edits its own file (it took crypt from a black-screen 3.0 to a torch-lit 7.8). Scored on a mid-play frame by the same Opus judge as everyone else. This is a partial run — the full 50-task card replaces it when the batch completes.

Side-by-side on 50 shared tasks

Click any cell to play that model's actual one-shot attempt. Medals are derived from my 0–10 scores per task (highest = 🥇, second = 🥈, third = 🥉).

Task ↓
Qwen 3.7
Qwen 3.8
Game
Qwen 3.7 on Arcade
Qwen 3.8 on Arcade
Game
Qwen 3.7 on Crypt
Qwen 3.8 on Crypt
Game
Qwen 3.7 on Dogfight
Qwen 3.8 on Dogfight
Game
Qwen 3.7 on Doom
Qwen 3.8 on Doom
Qwen 3.7 on Dragonflight
Qwen 3.8 on Dragonflight
Qwen 3.7 on Dragonrealm
Qwen 3.8 on Dragonrealm
Game
Qwen 3.7 on Flightsim
🥈Qwen 3.8 on Flightsim
Game
Qwen 3.7 on Game
Qwen 3.8 on Game
Game
Qwen 3.7 on Gtadrive
🥈Qwen 3.8 on Gtadrive
Game
Qwen 3.7 on Gtafoot
🥉Qwen 3.8 on Gtafoot
Qwen 3.7 on Neonblaster
🥈Qwen 3.8 on Neonblaster
Game
Qwen 3.7 on Neonracer
Qwen 3.8 on Neonracer
Qwen 3.7 on Nordiccrypt
Qwen 3.8 on Nordiccrypt
Game
Qwen 3.7 on Outrun
🥇Qwen 3.8 on Outrun
Game
Qwen 3.7 on Racing
🥉Qwen 3.8 on Racing
Game
Qwen 3.7 on Rpg
Qwen 3.8 on Rpg
Game
Qwen 3.7 on Skyrim
🥉Qwen 3.8 on Skyrim
Qwen 3.7 on Twilightvale
Qwen 3.8 on Twilightvale
Page
Qwen 3.7 on Aipbpromo
🥇Qwen 3.8 on Aipbpromo
Page
Qwen 3.7 on Landing
Qwen 3.8 on Landing
Sim
Qwen 3.7 on Blackhole
Qwen 3.8 on Blackhole
Sim
Qwen 3.7 on Boids
🥇Qwen 3.8 on Boids
Sim
Qwen 3.7 on Cloth
🥇Qwen 3.8 on Cloth
Sim
Qwen 3.7 on Fluid
Qwen 3.8 on Fluid

Where Qwen 3.7 beat Qwen 3.8

The tasks where I gave Qwen 3.7 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.

Game Game
Qwen 3.7 7.5 · Qwen 3.8 6.5 (+1.0)

What I saw: 25KB · plays clean · plain

Dogfight Game
Qwen 3.7 7.5 · Qwen 3.8 6.8 (+0.7)

What I saw: 18KB · plays clean · webgl, input

Qwen 3.7 7.0 · Qwen 3.8 6.4 (+0.6)

What I saw: 16KB · plays clean · webgl

Qwen 3.7 7.5 · Qwen 3.8 7.0 (+0.5)

What I saw: 13KB · plays clean · webgl, input

Arcade Game
Qwen 3.7 8.0 · Qwen 3.8 7.8 (+0.2)

What I saw: 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.

Where Qwen 3.8 beat Qwen 3.7

The tasks where I gave Qwen 3.8 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.

Lavalamp Visual
Qwen 3.8 8.7 · Qwen 3.7 5.0 (+3.7) · Metaball wax realism

What I saw: Gorgeous rendering — convincing metaball wax with glowing blobs rising in a beautifully detailed brass-and-glass lamp, plus Monoton neon title, live temp readouts, heat slider and theme chips. Polished, on-brief, and clearly at the top of the field; only nitpick is empty left-sid…

Qwen 3.8 8.7 · Qwen 3.7 5.0 (+3.7) · Glowing Turing labyrinth

What I saw: Strong Gray-Scott simulation producing a crisp, organic labyrinth pattern with beautiful bioluminescent glow, backed by a polished HUD, 8 presets, live chemistry sliders, and multiple palettes. The rendered field is genuinely on-brief and visually superior to a flat greyscale sim…

Outrun Game
Qwen 3.8 8.7 · Qwen 3.7 5.5 (+3.2) · Neon Combat Outrun

What I saw: Gorgeous synthwave scene nails the brief—striped sun, purple mountains, palm silhouettes, glowing grid floor and a chunky neon car with real pseudo-3D road, plus combat elements (crosshair, kills/hostiles, radar, visible enemy vehicles) that elevate it above empty driving sims. H…

Fractal Sim
Qwen 3.8 8.7 · Qwen 3.7 6.0 (+2.7) · Fractal Observatory

What I saw: Stunning GPU Mandelbrot with smooth iteration coloring, distance-estimation rim shading and a gorgeous editorial HUD (readouts, palettes, tour) — the deep spiral detail renders beautifully. Strong on both polish and interactivity; only nit is the somewhat washed-out interior grad…

Galaxy Sim
Qwen 3.8 8.7 · Qwen 3.7 6.0 (+2.7) · deep-field spiral

What I saw: Strong: a genuinely beautiful, dense spiral with a glowing gold core, color-graded arms (gold→pink→blue) and a polished editorial HUD with live telemetry and interaction hints. Weak: the low 20 fps telemetry hints at heavy load, but the render itself is gorgeous and clearly on-br…

Strengths & weaknesses I logged

Qwen 3.7

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

Qwen 3.8

Strengths

  • Skyrim-style open worlds — the Dragon Realm build rendered a lit snowfield, first-person sword and working roaming enemies (7.8)
  • Held up across game genres early — voxel sandbox and Doom raycaster both came out shippable
  • Runs as a real agentic coder inside Qoder (writes + iterates on files), not just a chat model

Trade-offs

  • Torch-lit dungeon (crypt) came out generic (6.3); one open-world RPG one-shot black-screened (twilightvale 2.5) — classic three.js r128 API drift
  • Preview is Qoder / Token-Plan only — no OpenRouter or public API, so it can't be routed into an app the way the OpenRouter models can

Pricing & context — the spec sheet

Spec Qwen 3.7 Qwen 3.8
VendorAlibabaAlibaba
Context window256,000 tokensServed through Alibaba's Qoder agent platform; the 3.8-Max preview has no standalone public context window yet.
PriceOpen weights · free for individualsQoder plan
Pricing detailAlibaba's open-weights release — downloadable from Hugging Face, runnable locally or via Alibaba Cloud's free tier for individuals.Qwen3.8-Max-Preview is Alibaba's ~2.4T-parameter flagship, positioned just behind Claude Fable 5. It is NOT on OpenRouter or a public API yet — the only access today is inside Qoder (Alibaba's agentic coding platform, free 2-week Pro trial). Benched here via the Qoder CLI on model `Qwen3.8-Max-Preview`, one-shot.
Release2026-062026-07
Bench coverage47/47 scored · avg 7.00/1041/41 scored · avg 8.22/10

The verdict — which should you pick?

Across 38 scored shared tasks, Qwen 3.8 averaged 8.24/10, beating Qwen 3.7's 7.04/10 by 1.20 points. Pick Qwen 3.8 when the build has to ship on the first prompt and you can afford the trade-offs in the comparison below.

If you only run one of these inside your stack, the head-to-head average above is the call. If you can run both, my honest play is to wire Qwen 3.7 and Qwen 3.8 both into the Agent Operating System and dispatch each from the kanban by task type — open-weights alternative to glm-5.2 when you want a different model family → Qwen 3.7, one-shot 3d game and world prototypes where atmosphere matters → Qwen 3.8. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Qwen 3.7 vs Qwen 3.8

Which is better, Qwen 3.7 or Qwen 3.8?

On Goldie Bench, Qwen 3.7 averages 7.04/10 across the shared tasks, with 0 gold, 0 silver, 0 bronze overall. Qwen 3.8 averages 8.24/10, with 10 gold, 9 silver, 5 bronze. Qwen 3.8 wins the head-to-head 33–5.

How much does Qwen 3.7 cost vs Qwen 3.8?

Qwen 3.7: Alibaba's open-weights release — downloadable from Hugging Face, runnable locally or via Alibaba Cloud's free tier for individuals. Qwen 3.8: Qwen3.8-Max-Preview is Alibaba's ~2.4T-parameter flagship, positioned just behind Claude Fable 5. It is NOT on OpenRouter or a public API yet — the only access today is inside Qoder (Alibaba's agentic coding platform, free 2-week Pro trial). Benched here via the Qoder CLI on model `Qwen3.8-Max-Preview`, one-shot.

What's the context window for Qwen 3.7 vs Qwen 3.8?

Qwen 3.7 has a 256,000 tokens context window. Qwen 3.8 has a Served through Alibaba's Qoder agent platform; the 3.8-Max preview has no standalone public context window yet. context window.

When should I pick Qwen 3.7 over Qwen 3.8?

Pick Qwen 3.7 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. The trade-off is the weaknesses we logged on the bench: Only 5 tasks scored on the bench so far — small sample size; Trails GLM-5.2 on cinematic visual builds at similar pricing.

When should I pick Qwen 3.8 over Qwen 3.7?

Pick Qwen 3.8 for: One-shot 3D game and world prototypes where atmosphere matters; Anyone already in the Qoder IDE/CLI wanting a near-frontier model free on the Pro trial; A cheaper stand-in for Fable 5 on creative-visual builds. The trade-off is the weaknesses we logged on the bench: Torch-lit dungeon (crypt) came out generic (6.3); one open-world RPG one-shot black-screened (twilightvale 2.5) — classic three.js r128 API drift; Preview is Qoder / Token-Plan only — no OpenRouter or public API, so it can't be routed into an app the way the OpenRouter models can.

How does Goldie Bench score Qwen 3.7 vs Qwen 3.8?

Every demo on this page was built by Julian Goldie inside the Agent Operating System — same fixed prompt for both models, one shot, single HTML file out. Each result gets a 0–10 score on whether it ran, how close it hit the brief, and how good it looked. The highest score on each task gets gold; second gets silver; third gets bronze. See methodology for full provenance.

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 4,000+ founders shipping with it every day all live inside the AI Profit Boardroom.

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