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

Claude Opus 5 vs Hy3

The new Anthropic flagship — benched on all 45 one-shot builds the day it landed. 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: Claude Opus 5 wins 7–0.

Claude Opus 5 · context1M tokens
Hy3 · context262K tokens
Claude Opus 5 · price$5 / $25 per M
Hy3 · price$0.14 / 1M input · $0.58 / 1M output
Claude Opus 5 · vendorAnthropic
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 Claude Opus 5 and Hy3, side by side, on 7 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.

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 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
Hy3
Game
Claude Opus 5 on Doom
Hy3 on Doom
Claude Opus 5 on Dragonrealm
Hy3 on Dragonrealm
Game
🥈Claude Opus 5 on Flightsim
Hy3 on Flightsim
Game
🥉Claude Opus 5 on Gtadrive
Hy3 on Gtadrive
Game
🥈Claude Opus 5 on Gtafoot
Hy3 on Gtafoot
Game
🥈Claude Opus 5 on Parachute
Hy3 on Parachute
Page
🥈Claude Opus 5 on Aipbpromo
Hy3 on Aipbpromo
Game
Claude Opus 5 on Arcade
— not attempted —
Game
Claude Opus 5 on Crypt
— not attempted —
Game
Claude Opus 5 on Dogfight
— not attempted —
Claude Opus 5 on Dragonflight
— not attempted —
Game
Claude Opus 5 on Game
— not attempted —
Claude Opus 5 on Neonblaster
— not attempted —
Game
Claude Opus 5 on Neoncity
— not attempted —
Game
🥇Claude Opus 5 on Neonracer
— not attempted —
Claude Opus 5 on Nordiccrypt
— not attempted —
Game
🥇Claude Opus 5 on Outrun
— not attempted —
Game
Claude Opus 5 on Pool
— not attempted —
Game
🥉Claude Opus 5 on Racing
— not attempted —
Game
Claude Opus 5 on Raycaster
— not attempted —
Game
🥈Claude Opus 5 on Rpg
— not attempted —
Game
Claude Opus 5 on Skyrim
— not attempted —
Claude Opus 5 on Twilightvale
— not attempted —
Game
Claude Opus 5 on Voxelcraft
— not attempted —

Where Claude Opus 5 beat Hy3

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.

Doom Game
Claude Opus 5 6.8 · Hy3 4.5 (+2.3)

What I saw: Strong polished HUD, textured raycaster walls, weapon viewmodel, and a detailed minimap show real engine work, plus counters imply combat (01/10 kills, 09 demons left). But the screenshot shows NO visible enemies on screen — combat can't be confirmed in the frame, so it reads clo…

Flightsim Game
Claude Opus 5 8.6 · Hy3 6.8 (+1.8) · combat flight sim

What I saw: Gorgeous low-poly terrain with detailed aircraft, hangar, runway markings, and a complete pro-grade HUD (airspeed tape, ADI attitude ball, VS, radar alt, throttle) plus combat with hostiles/kills/score — exceeding a plain flight sim. Slightly chaotic mid-collision moment (hull at…

Parachute Game
Claude Opus 5 8.6 · Hy3 6.8 (+1.8) · polished chute descent

What I saw: Strong: gorgeous low-poly deployed canopy with detailed rigging lines, articulated skydiver, layered clouds/terrain and a complete HUD (altitude, descent/health bars, dist-to-target compass, kills/threat) plus flare-combat mechanics elevate it above a plain drop sim. Weak: screen…

Gtafoot Game
Claude Opus 5 8.4 · Hy3 7.2 (+1.2)

What I saw: Gorgeous dusk city with clean third-person rig, polished HUD (health/stamina/ammo/wanted stars/minimap), fountain, benches, cop car and cover props — clearly a strong shippable build. Screenshot shows no active enemies or combat in frame, so I can't confirm visible working shooti…

Claude Opus 5 8.3 · Hy3 7.2 (+1.1)

What I saw: Gorgeous atmospheric frozen world — aurora, moon glow, snowy terrain, low-poly pines, ruins, and a well-modeled armored third-person character with sword DRAWN and full HUD (compass, health/stam, kill counter). Strong and clearly shippable, but no visible enemies/dragon or combat…

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

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 Claude Opus 5 Hy3
VendorAnthropicTencent Hunyuan
Context window1,000,000 tokens262,144-token context window. Open weights (Apache-2.0) on HuggingFace / ModelScope / GitHub; benched here via OpenRouter.
Price$5 / $25 per M$0.14 / 1M input · $0.58 / 1M output
Pricing detailAnthropic'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.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 coverage50/50 scored · avg 8.27/107/7 scored · avg 6.76/10

The verdict — which should you pick?

Across 7 scored shared tasks, Claude Opus 5 averaged 8.20/10, beating Hy3's 6.76/10 by 1.44 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 Hy3 both into the Agent Operating System and dispatch each from the kanban by task type — hardest agentic builds → Claude Opus 5, 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 — Claude Opus 5 vs Hy3

Which is better, Claude Opus 5 or Hy3?

On Goldie Bench, Claude Opus 5 averages 8.20/10 across the shared tasks, with 13 gold, 7 silver, 5 bronze overall. Hy3 averages 6.76/10, with 0 gold, 0 silver, 0 bronze. Claude Opus 5 wins the head-to-head 7–0.

How much does Claude Opus 5 cost vs Hy3?

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. 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 Claude Opus 5 vs Hy3?

Claude Opus 5 has a 1,000,000 tokens 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 Claude Opus 5 over Hy3?

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 Hy3 over Claude Opus 5?

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 Claude Opus 5 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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