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

Qwen 3.8 vs Hy3

Alibaba's 2.4T flagship — benched through Qoder. vs Tencent's open-weights coder — Apache-2.0, cheap, beats GLM-5.1 on frontend in Tencent's blind eval.

Head-to-head verdict: Qwen 3.8 wins 6–0.

Qwen 3.8 · contextQoder-hosted
Hy3 · context262K tokens
Qwen 3.8 · priceQoder plan
Hy3 · price$0.14 / 1M input · $0.58 / 1M output
Qwen 3.8 · vendorAlibaba
Hy3 · vendorTencent Hunyuan

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 Hy3, side by side, on 6 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. This is a partial run — the full 50-task card replaces it when the batch completes.

Hy3 · Wired into the Agent OS as the 'Hy3 Coder' tab (chat + live preview + workspace) via OpenRouter. Bench built one-shot on the same prompts as the field; weak builds iterated by Hy3 itself (the model fixes its own builds).

Side-by-side on 42 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
Hy3
Game
Qwen 3.8 on Doom
Hy3 on Doom
Qwen 3.8 on Dragonrealm
Hy3 on Dragonrealm
Game
🥈Qwen 3.8 on Flightsim
Hy3 on Flightsim
Game
🥈Qwen 3.8 on Gtadrive
Hy3 on Gtadrive
Game
🥉Qwen 3.8 on Gtafoot
Hy3 on Gtafoot
Page
🥇Qwen 3.8 on Aipbpromo
Hy3 on Aipbpromo
Game
Qwen 3.8 on Arcade
— not attempted —
Game
Qwen 3.8 on Crypt
— not attempted —
Game
Qwen 3.8 on Dogfight
— not attempted —
Qwen 3.8 on Dragonflight
— not attempted —
Game
Qwen 3.8 on Game
— not attempted —
🥈Qwen 3.8 on Neonblaster
— not attempted —
Game
Qwen 3.8 on Neonracer
— not attempted —
Qwen 3.8 on Nordiccrypt
— not attempted —
Game
🥇Qwen 3.8 on Outrun
— not attempted —
Game
— not attempted —
Hy3 on Parachute
Game
🥉Qwen 3.8 on Racing
— not attempted —
Game
Qwen 3.8 on Rpg
— not attempted —
Game
🥉Qwen 3.8 on Skyrim
— not attempted —
Qwen 3.8 on Twilightvale
— not attempted —
Other
🥈Qwen 3.8 on Matrixrain
— not attempted —
🥇Qwen 3.8 on Mlx Speedtest
— not attempted —
Other
🥉Qwen 3.8 on Neonsnake
— not attempted —
Page
Qwen 3.8 on Landing
— not attempted —

Where Qwen 3.8 beat Hy3

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.

Doom Game
Qwen 3.8 7.4 · Hy3 4.5 (+2.9)

What I saw: Strong HUD polish (demons-left counter, kills 2/7, minimap, shells, weapon sprite) and textured raycasting all render cleanly, and the source has full demon sprites with chase/attack AI. Weakest point is the screenshot shows no visible enemy on-screen and the fog/lighting is oddl…

Flightsim Game
Qwen 3.8 8.4 · Hy3 6.8 (+1.6)

What I saw: Gorgeous dawn-lit terrain with runway, hangar, full HUD (IAS/ALT/VS/heading tape/attitude indicator/throttle/hull/minimap) and a takeoff prompt actively firing at 43kt — clearly on-brief and polished with visible birds as targets. Falls just short of the field's best due to the s…

Gtadrive Game
Qwen 3.8 8.6 · Hy3 7.4 (+1.2) · Dusk City Cruiser

What I saw: Gorgeous dusk-lit voxel city with a polished HUD (stars, health/car bars, minimap, cash, cops-down) and visible traffic plus a well-modeled player car with drive-by crosshair; the atmospheric skybox, shadows, and complete GTA feature set (jack cars, wanted stars, cop combat) push…

Aipbpromo Page
Qwen 3.8 8.4 · Hy3 7.4 (+1.0) · 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, …

Gtafoot Game
Qwen 3.8 8.1 · Hy3 7.2 (+0.9)

What I saw: Strong dusk-lit third-person city with polished HUD (vitals, ammo, wanted stars, minimap, takedowns), a proper armed player character, pedestrians, park, crosswalks, and cars — clearly on-brief and shippable. Held just below the top tier because the screenshot shows peaceful pede…

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

Hy3

Strengths

  • Apache-2.0 open weights — self-host free, no lock-in
  • Tencent's 270-expert blind eval: 2.67/4 vs GLM-5.1's 2.51, strongest on frontend / data / CI-CD
  • Hallucination rate cut 12.5% → 5.4%; stable tool-calls across scaffoldings (<4% SWE-Bench variance)

Trade-offs

  • Slow upstream on OpenRouter (30-90s per build) — fine for one-shots, sluggish for tight loops
  • One-shot game builds can under-render (flat raycaster walls, unlit 3D) without an iterate pass

Pricing & context — the spec sheet

Spec Qwen 3.8 Hy3
VendorAlibabaTencent Hunyuan
Context windowServed through Alibaba's Qoder agent platform; the 3.8-Max preview has no standalone public context window yet.262,144-token context window. Open weights (Apache-2.0) on HuggingFace / ModelScope / GitHub; benched here via OpenRouter.
PriceQoder plan$0.14 / 1M input · $0.58 / 1M output
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.Tencent Hunyuan 3 — open-weights under Apache-2.0, so free to self-host. On OpenRouter it is one of the cheapest capable coders: ~$0.14/M in, $0.58/M out (1 RMB / 4 RMB). Upstream can be slow (30-90s to first token), but per-token cost is negligible.
Release2026-072026-07-06
Bench coverage41/41 scored · avg 8.22/107/7 scored · avg 6.76/10

The verdict — which should you pick?

Across 6 scored shared tasks, Qwen 3.8 averaged 8.12/10, beating Hy3's 6.75/10 by 1.37 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 3.8 and Hy3 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, cost-sensitive coding + frontend design where open weights matter → Hy3. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Qwen 3.8 vs Hy3

Which is better, Qwen 3.8 or Hy3?

On Goldie Bench, Qwen 3.8 averages 8.12/10 across the shared tasks, with 10 gold, 9 silver, 5 bronze overall. Hy3 averages 6.75/10, with 0 gold, 0 silver, 0 bronze. Qwen 3.8 wins the head-to-head 6–0.

How much does Qwen 3.8 cost vs Hy3?

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. Hy3: Tencent Hunyuan 3 — open-weights under Apache-2.0, so free to self-host. On OpenRouter it is one of the cheapest capable coders: ~$0.14/M in, $0.58/M out (1 RMB / 4 RMB). Upstream can be slow (30-90s to first token), but per-token cost is negligible.

What's the context window for Qwen 3.8 vs Hy3?

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. Hy3 has a 262,144-token context window. Open weights (Apache-2.0) on HuggingFace / ModelScope / GitHub; benched here via OpenRouter. context window.

When should I pick Qwen 3.8 over Hy3?

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 Hy3 over Qwen 3.8?

Pick Hy3 for: Cost-sensitive coding + frontend design where open weights matter; Self-hosters who want an Apache-2.0 model they fully own; Anyone wiring a cheap capable coder into a live build panel (Agent OS Hy3 Coder tab). The trade-off is the weaknesses we logged on the bench: Slow upstream on OpenRouter (30-90s per build) — fine for one-shots, sluggish for tight loops; One-shot game builds can under-render (flat raycaster walls, unlit 3D) without an iterate pass.

How does Goldie Bench score Qwen 3.8 vs Hy3?

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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