
Real head-to-head · same prompt, one shot
Hy3 vs Grok 4.5
Tencent's open-weights coder — Apache-2.0, cheap, beats GLM-5.1 on frontend in Tencent's blind eval. vs xAI's Grok 4.5 — the coding/agentic model, default in Grok Build. Tops SWE Marathon, ~4x more token-efficient than Opus 4.8, ~80 TPS.
Head-to-head verdict: Grok 4.5 wins 3–1 with 2 ties.
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 Hy3 and Grok 4.5, 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.
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).
Grok 4.5 · Benched one-shot on the same GoldieBench game prompts as the field, with the threejs-game-director patterns baked into each prompt; weak builds iterated by Grok 4.5 itself (the model authors every fix, never hand-patched). Wired into the Agent OS as the newest engine.
Side-by-side on 49 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 = 🥉).
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Where Hy3 beat Grok 4.5
The tasks where I gave Hy3 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
Gtafoot
Game
Hy3 7.2
·
Grok 4.5 5.5
(+1.7)
What I saw: Strong dusk-city atmosphere with a readable blocky hero (cap, jacket trim, gun), streetlights, crosswalks, and a pedestrian, plus clean HUD (ammo, health bar, wanted stars, crosshair, controls). Weak points: the world is fairly barren mid-frame, no visible buildings-as-cover in t…
Where Grok 4.5 beat Hy3
The tasks where I gave Grok 4.5 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
Dragonrealm
Game
Grok 4.5 8.2
·
Hy3 7.2
(+1.0)
What I saw: One-shot: Skyrim-style frozen open world that actually walks — multi-part third-person adventurer (hooded head, belt torso, arms, legs, sheathed sword), rolling snow terrain, near/mid/far low-poly pines, mountain silhouettes, health/stamina meters + compass + sword-state chip + d…
Parachute
Game
Grok 4.5 7.6
·
Hy3 6.8
(+0.8)
What I saw: skydiver under a deployed parachute descending, altitude/score HUD across freefall→deploy→land phases. Self-fixed from black.
Flightsim
Game
Grok 4.5 7.3
·
Hy3 6.8
(+0.5)
What I saw: One-shot: low-poly plane on runway, framed third-person, altitude/speed HUD.
Strengths & weaknesses I logged
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
Grok 4.5
Strengths
- SWE Marathon resolution #1: 29.0% (Opus 4.8 26.0, Fable 24.0)
- ~4.2x more token-efficient than Opus 4.8 on SWE-Bench Pro (15,954 vs 67,020 avg output tokens); ~80 TPS
- Strong one-shot game builds: gorgeous multi-part heroes + layered worlds + cohesive HUDs first try (dragonrealm, crypt, skyrim)
Trade-offs
- Raycaster/FPS (doom) under-renders + walks out of bounds one-shot; needed multiple self-fix passes
- Occasional TDZ/init bug blanks a build to black (racing) — recovered by the model itself in one pass
- Not available in the EU until mid-July 2026
Pricing & context — the spec sheet
| Spec | Hy3 | Grok 4.5 |
|---|---|---|
| Vendor | Tencent Hunyuan | xAI · Grok Build |
| Context window | 262,144-token context window. Open weights (Apache-2.0) on HuggingFace / ModelScope / GitHub; benched here via OpenRouter. | xAI's smartest model, built for coding + agentic tasks; trained alongside Cursor. Default model in Grok Build. Benched here via OpenRouter (x-ai/grok-4.5). |
| Price | $0.14 / 1M input · $0.58 / 1M output | $2 / 1M input · $6 / 1M output |
| Pricing detail | 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. | ~4.2x fewer output tokens than Opus 4.8 on SWE-Bench Pro (15,954 vs 67,020 avg) and served at ~80 TPS, so real cost/latency is well below the sticker. Free for a limited time in Grok Build + Cursor. |
| Release | 2026-07-06 | 2026-07-08 |
| Bench coverage | 7/7 scored · avg 6.76/10 | 48/50 scored · avg 7.60/10 |
The verdict — which should you pick?
Across 6 scored shared tasks, the averages are essentially tied — Hy3 7.13 vs Grok 4.5 7.23. 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 Hy3 and Grok 4.5 both into the Agent Operating System and dispatch each from the kanban by task type — cost-sensitive coding + frontend design where open weights matter → Hy3, one-shot end-to-end app + game builds from a single prompt → Grok 4.5. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.
FAQ — Hy3 vs Grok 4.5
Which is better, Hy3 or Grok 4.5?
On Goldie Bench, Hy3 averages 7.13/10 across the shared tasks, with 0 gold, 0 silver, 0 bronze overall. Grok 4.5 averages 7.23/10, with 12 gold, 34 silver, 2 bronze. Grok 4.5 wins the head-to-head 3–1.
How much does Hy3 cost vs Grok 4.5?
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. Grok 4.5: ~4.2x fewer output tokens than Opus 4.8 on SWE-Bench Pro (15,954 vs 67,020 avg) and served at ~80 TPS, so real cost/latency is well below the sticker. Free for a limited time in Grok Build + Cursor.
What's the context window for Hy3 vs Grok 4.5?
Hy3 has a 262,144-token context window. Open weights (Apache-2.0) on HuggingFace / ModelScope / GitHub; benched here via OpenRouter. context window. Grok 4.5 has a xAI's smartest model, built for coding + agentic tasks; trained alongside Cursor. Default model in Grok Build. Benched here via OpenRouter (x-ai/grok-4.5). context window.
When should I pick Hy3 over Grok 4.5?
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.
When should I pick Grok 4.5 over Hy3?
Pick Grok 4.5 for: One-shot end-to-end app + game builds from a single prompt; Cost/latency-sensitive agentic coding loops (token-efficient + fast); Office-work automation (Excel/PowerPoint/Word via Grok Build). The trade-off is the weaknesses we logged on the bench: Raycaster/FPS (doom) under-renders + walks out of bounds one-shot; needed multiple self-fix passes; Occasional TDZ/init bug blanks a build to black (racing) — recovered by the model itself in one pass; Not available in the EU until mid-July 2026.
How does Goldie Bench score Hy3 vs Grok 4.5?
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:
Hy3 vs Fusion Grok 4.5 vs Fusion Hy3 vs Hermes MoA Grok 4.5 vs Hermes MoA Hy3 vs Claude Fable 5 Grok 4.5 vs Claude Fable 5 Hy3 vs Grok (X real-time) Grok 4.5 vs Grok (X real-time)Full model pages: Hy3 · Grok 4.5 · 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




























