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

Qwen 3.8 vs Grok

Alibaba's 2.4T flagship — benched through Qoder. vs Snappy + real-time — the X-native model.

Head-to-head verdict: Qwen 3.8 wins 28–10.

Qwen 3.8 · contextQoder-hosted
Grok · context256K tokens
Qwen 3.8 · priceQoder plan
Grok · priceSubscription via X Premium
Qwen 3.8 · vendorAlibaba
Grok · vendorxAI

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 3.8 and Grok, side by side, on 42 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 3.8 · 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.

Grok · Used for real-time content workflows where the model needs current X timeline context. Standalone bench scoring pending.

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

Where Qwen 3.8 beat Grok

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.

Aurora Visual
Qwen 3.8 8.6 · Grok 7.0 (+1.6) · Layered luminous curtains

What I saw: Gorgeous multi-ribbon aurora with convincing teal-to-violet gradients, glowing hems, vertical light shafts, twinkling stars and layered mountain ridges — polished and clearly on-brief. Only minor nit is the slightly stark ridge silhouettes, but the overall composition and depth t…

Matrix Visual
Qwen 3.8 8.6 · Grok 7.0 (+1.6) · volumetric depth rain

What I saw: Gorgeous multi-layer depth with blurred far field, white-hot heads, katakana glyphs and an EMP pulse ring — plus polished CRT scanlines, glitch title, themes and full HUD controls. Amber-tinted mutation streaks and rich feature set push it to the top of the field.

Aipbpromo Page
Qwen 3.8 8.4 · Grok 7.0 (+1.4) · cinematic promo reel

What I saw: The cold-open scene renders beautifully — massive Bebas Neue headline with gold 'NO OFF HOURS' accent, typed monospace line, HUD framing, film grain and timeline bar all read as a polished Remotion-style reel; source confirms a full 4-scene timeline with animated count-up stats, …

Fractal Sim
Qwen 3.8 8.7 · Grok 7.5 (+1.2) · 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…

Lavalamp Visual
Qwen 3.8 8.7 · Grok 7.5 (+1.2) · 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…

Where Grok beat Qwen 3.8

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

Waves Visual
Grok 8.0 · Qwen 3.8 2.0 (+6.0)

What I saw: Gerstner ocean waves with sun reflection + foam crests. Drag to look around. 12KB.

Game Game
Grok 9.0 · Qwen 3.8 6.5 (+2.5) · winner · juicy game

What I saw: Open-ended 'make a game' — Grok shipped a juicy 28KB build with score HUD, lives, sound, polish.

Dogfight Game
Grok 8.5 · Qwen 3.8 6.8 (+1.7)

What I saw: 3D dogfight game with fighter jet, enemies, missiles + guns, sky + ground, crosshair + speed + altitude HUD. 30KB.

Grok 8.5 · Qwen 3.8 7.0 (+1.5)

What I saw: Fly a dragon through neon rings with score + fire-breath + fury HUD. 28KB.

Doom Game
Grok 8.5 · Qwen 3.8 7.4 (+1.1)

What I saw: Doom-style FPS with sprite enemies, gun + muzzle flash + ammo/health HUD, textures, pointer-lock mouse-look. 22KB.

Strengths & weaknesses I logged

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

Grok

Strengths

  • Real-time access to X timeline data — unique signal no other model has
  • Snappy latency on shorter prompts
  • 256K context window keeps pace with the open-weights field

Trade-offs

  • 13 demos on the bench but zero have curated 0–10 verdicts yet — currently unranked
  • API access is gated behind X Premium, awkward for backend agent loops

Pricing & context — the spec sheet

Spec Qwen 3.8 Grok
VendorAlibabaxAI
Context windowServed through Alibaba's Qoder agent platform; the 3.8-Max preview has no standalone public context window yet.256,000 tokens
PriceQoder planSubscription via X Premium
Pricing detailQwen3.8-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.Bundled with X (Twitter) Premium subscription — no per-token bill for end users, no individual API pricing for the chat product.
Release2026-072026-04
Bench coverage45/45 scored · avg 8.10/1043/47 scored · avg 8.09/10

The verdict — which should you pick?

Across 38 scored shared tasks, the averages are essentially tied — Qwen 3.8 8.16 vs Grok 8.09. This isn't the comparison where one wins; it's the comparison where you pick based on context, pricing, and what you're actually trying to ship.

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 3.8 and Grok both into the Agent Operating System and dispatch each from the kanban by task type — one-shot 3d game and world prototypes where atmosphere matters → Qwen 3.8, workflows that need live x / twitter context → Grok. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Qwen 3.8 vs Grok

Which is better, Qwen 3.8 or Grok?

On Goldie Bench, Qwen 3.8 averages 8.16/10 across the shared tasks, with 10 gold, 10 silver, 5 bronze overall. Grok averages 8.09/10, with 5 gold, 1 silver, 1 bronze. Qwen 3.8 wins the head-to-head 28–10.

How much does Qwen 3.8 cost vs Grok?

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. Grok: Bundled with X (Twitter) Premium subscription — no per-token bill for end users, no individual API pricing for the chat product.

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

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. Grok has a 256,000 tokens context window.

When should I pick Qwen 3.8 over Grok?

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.

When should I pick Grok over Qwen 3.8?

Pick Grok for: Workflows that need live X / Twitter context; Snappy prompts where latency matters; Researchers comparing X-native models against the rest of the field. The trade-off is the weaknesses we logged on the bench: 13 demos on the bench but zero have curated 0–10 verdicts yet — currently unranked; API access is gated behind X Premium, awkward for backend agent loops.

How does Goldie Bench score Qwen 3.8 vs Grok?

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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