Real head-to-head · same prompt, one shot
Claude Opus 5 vs Qwen 3.7
The new Anthropic flagship — benched on all 45 one-shot builds the day it landed. vs Multilingual open-weights — strong on Chinese reasoning.
Head-to-head verdict: Claude Opus 5 wins 41–5 with 1 tie.
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 Claude Opus 5 and Qwen 3.7, side by side, on 47 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.
Claude Opus 5 · Benched on all 45 GoldieBench tasks via API on release day, incremental deploys as scores landed.
Qwen 3.7 · Wired alongside GLM-5.2 in Agent OS for open-weights agent loops where you want vendor diversity.
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 ↓
Claude Opus 5
Qwen 3.7
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Where Claude Opus 5 beat Qwen 3.7
The tasks where I gave Claude Opus 5 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
Raycaster
Game
Claude Opus 5 7.8
·
Qwen 3.7 4.0
(+3.8)
What I saw: Strong polished HUD, minimap, weapon model and full combat framework (12 hostiles, purge objective) plus textured walls—but the screenshot shows no visible enemies and an overly blurry/washed corridor, so it reads more atmospheric than a crisp Wolfenstein maze. Shippable and abov…
Lavalamp
Visual
Claude Opus 5 8.7
·
Qwen 3.7 5.0
(+3.7)
· metaball lava lamp
What I saw: Gorgeous shader metaball fluid with convincing tapered glass body, glowing gold cap and ribbed metal base, plus palette switching, heat slider and pointer interaction — clearly matches the field's best. Only nit: static screenshot can't confirm morph smoothness, but the blob vari…
Reactiondiff
Sim
Claude Opus 5 8.4
·
Qwen 3.7 5.0
(+3.4)
What I saw: Strong Gray-Scott sim with glowing mitosis-style blobs, clean neon palette, full control panel (f/k, diffusion, 10 presets, palettes, brush, drift) and live 52fps readout. Visually gorgeous and correct, but the pattern reads as slightly diffuse spots rather than the crisp full-fi…
Outrun
Game
Claude Opus 5 8.7
·
Qwen 3.7 5.5
(+3.2)
· neon horizon king
What I saw: Gorgeous synthwave scene nails the brief — striped sun, glowing pink/cyan road edges, palm trees, mountains, and a real curving pseudo-3D ribbon with pickups and combat HUD (kills/hostiles). Only minor knock is no enemy actually visible in this frame, but the aesthetic and depth …
Galaxy
Sim
Claude Opus 5 8.8
·
Qwen 3.7 6.0
(+2.8)
· Gorgeous spiral vortex
What I saw: Stunning multi-arm spiral with a glowing core, gradient star coloring (gold→pink→blue), halo, and distant starfield — visually the strongest galaxy render, backed by rich swirl/orbit/zoom/supernova interaction. Only nit is FPS at 39, but the composition clearly matches or beats t…
Where Qwen 3.7 beat Claude Opus 5
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.
Arcade
Game
Qwen 3.7 8.0
·
Claude Opus 5 6.5
(+1.5)
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.
Neonblaster
Game
Qwen 3.7 8.0
·
Claude Opus 5 6.8
(+1.2)
What I saw: 21KB · plays clean · webgl, audio, input
Doom
Game
Qwen 3.7 7.0
·
Claude Opus 5 6.8
(+0.2)
What I saw: 12KB · plays clean · input
Twilightvale
Game
Qwen 3.7 7.5
·
Claude Opus 5 7.3
(+0.2)
What I saw: 25KB · plays clean · plain
Neoncity
Game
Qwen 3.7 7.5
·
Claude Opus 5 7.4
(+0.1)
What I saw: 8KB · plays clean · webgl, rAF
Strengths & weaknesses I logged
Claude Opus 5
Strengths
- Frontier-class coding + agentic reasoning (Claude 5 family)
- 1M-token context — reads an entire codebase in one call
- Benched here with skill-infused game prompts the day of release
Trade-offs
- Premium pricing ($5/$25 per M) — route the everyday 90% to cheaper lanes
- Reasoning-by-default eats token budgets unless tuned per call
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
Pricing & context — the spec sheet
| Spec | Claude Opus 5 | Qwen 3.7 |
|---|---|---|
| Vendor | Anthropic | Alibaba |
| Context window | 1,000,000 tokens | 256,000 tokens |
| Price | $5 / $25 per M | Open weights · free for individuals |
| Pricing detail | Anthropic's brand-new flagship — the first Opus of the Claude 5 family, with a 1M-token context window. Benched via API the day it dropped; game tasks use our skill-infused AAA build prompts. | Alibaba's open-weights release — downloadable from Hugging Face, runnable locally or via Alibaba Cloud's free tier for individuals. |
| Release | 2026-07 | 2026-06 |
| Bench coverage | 50/50 scored · avg 8.27/10 | 47/47 scored · avg 7.00/10 |
The verdict — which should you pick?
Across 47 scored shared tasks, Claude Opus 5 averaged 8.29/10, beating Qwen 3.7's 7.00/10 by 1.29 points. Pick Claude Opus 5 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 Claude Opus 5 and Qwen 3.7 both into the Agent Operating System and dispatch each from the kanban by task type — hardest agentic builds → Claude Opus 5, open-weights alternative to glm-5.2 when you want a different model family → Qwen 3.7. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.
FAQ — Claude Opus 5 vs Qwen 3.7
Which is better, Claude Opus 5 or Qwen 3.7?
On Goldie Bench, Claude Opus 5 averages 8.29/10 across the shared tasks, with 13 gold, 7 silver, 5 bronze overall. Qwen 3.7 averages 7.00/10, with 0 gold, 0 silver, 0 bronze. Claude Opus 5 wins the head-to-head 41–5.
How much does Claude Opus 5 cost vs Qwen 3.7?
Claude Opus 5: Anthropic's brand-new flagship — the first Opus of the Claude 5 family, with a 1M-token context window. Benched via API the day it dropped; game tasks use our skill-infused AAA build prompts. Qwen 3.7: Alibaba's open-weights release — downloadable from Hugging Face, runnable locally or via Alibaba Cloud's free tier for individuals.
What's the context window for Claude Opus 5 vs Qwen 3.7?
Claude Opus 5 has a 1,000,000 tokens context window. Qwen 3.7 has a 256,000 tokens context window.
When should I pick Claude Opus 5 over Qwen 3.7?
Pick Claude Opus 5 for: Hardest agentic builds; Whole-repo reasoning; Frontier one-shots. The trade-off is the weaknesses we logged on the bench: Premium pricing ($5/$25 per M) — route the everyday 90% to cheaper lanes; Reasoning-by-default eats token budgets unless tuned per call.
When should I pick Qwen 3.7 over Claude Opus 5?
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.
How does Goldie Bench score Claude Opus 5 vs Qwen 3.7?
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.
Related comparisons
Other head-to-heads using the same scoring system:
Claude Opus 5 vs Fusion Qwen 3.7 vs Fusion Claude Opus 5 vs Hermes MoA Qwen 3.7 vs Hermes MoA Claude Opus 5 vs GPT-5.6 Sol Qwen 3.7 vs GPT-5.6 Sol Claude Opus 5 vs Claude Fable 5 Qwen 3.7 vs Claude Fable 5Full model pages: Claude Opus 5 · Qwen 3.7 · back to the leaderboard
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.
4,000+founders
258documented wins
38countries
$59/momonthly