
Real head-to-head · same prompt, one shot
Grok 4.7 vs Hy3
Grok 4.6's price, a bigger base model, and it builds games that hold together. 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: Grok 4.7 wins 4–0.
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 Grok 4.7 and Hy3, side by side, on 4 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.
Grok 4.7 · Wired into the Agent OS Grok Build tab (4.7 / 4.6 / 4.5 picker, OpenRouter fallback when the CLI is signed out) and benched on twenty skill-infused game builds, each played through its full gameplay arc on a Metal GPU before the vision judge scored the played frame.
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 14 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 Grok 4.7 beat Hy3
The tasks where I gave Grok 4.7 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
Doom
Game
Grok 4.7 6.3
·
Hy3 4.5
(+1.8)
What I saw: Strong Doom-flavored raycaster with polished brick walls, weapon sprite, minimap, and detailed demon art in source — the render looks atmospheric and on-brief. But the playtest shows HP draining to 0 (player died) with KILLS stuck at 00 and no monster visible in the frame, so com…
Flightsim
Game
Grok 4.7 8.5
·
Hy3 6.8
(+1.7)
· polished flight HUD
What I saw: Strong render with a detailed 3D airport (runway, hangar, apron truck), clean chase-cam plane, and a rich professional HUD (heading tape, artificial horizon, IAS/ALT/VS gauges); playtest confirms real takeoff physics — throttle to 100, IAS ramping 55→146kt, ALT climbing 1→236m wi…
Dragonrealm
Game
Grok 4.7 8.6
·
Hy3 7.2
(+1.4)
· Frozen realm winner
What I saw: Gorgeous polished frozen scene — aurora sky, snowy hills, low-poly pines, standing stones, a caped character with sheathed sword, and a working HUD with compass/dragon counter; playtest shows real movement (walkPx 0.58), dragon-dive events, and a STRUCK combat state, hitting the …
Gtadrive
Game
Grok 4.7 7.8
·
Hy3 7.4
(+0.4)
What I saw: Renders a polished city sandbox with a detailed HUD (health, nitro, wanted stars, minimap with markers) and a nicely modeled car, and the playtest shows real movement — distance closed from 0104 to 0023, score rose to 164, health dropped on crash. Weak points: speed reads 000 and…
Strengths & weaknesses I logged
Grok 4.7
Strengths
- Averaged 6.86/10 on the same twenty skill-infused game briefs where Grok 4.6 averaged 5.63, winning 8 of the 11 head-to-heads
- Best one-shots on this run: arcade (8.6), dragonrealm (8.6), flightsim (8.5), every one played on a real GPU before scoring
- Longer reinforcement learning shows: it holds a 40-50KB single-file spec and wires the controls it advertises
- xAI's own coding numbers moved: CursorBench 4.0 46.3% (from 40.4%) and DeepSWE v1.1 71.0% (from 65.2%)
Trade-offs
- 2 of 20 builds died on load or never moved when played — crypt: hud is not a function; voxelcraft: mesh.computeBoundingSphere is not a function file:///Users/j
- Independent Artificial Analysis Intelligence Index v4.3.2 puts it at 46, seven points behind Claude Fable 5.1 and GPT-6 at 53
- Terminal-Bench 4.0 is the weak spot xAI reports itself: 38.0% at launch
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 | Grok 4.7 | Hy3 |
|---|---|---|
| Vendor | xAI | Tencent Hunyuan |
| Context window | 500,000 tokens | 262,144-token context window. Open weights (Apache-2.0) on HuggingFace / ModelScope / GitHub; benched here via OpenRouter. |
| Price | $2 in / $6 out per M tokens | $0.14 / 1M input · $0.58 / 1M output |
| Pricing detail | xAI's September 2026 release, priced exactly like Grok 4.6: $2 per million input tokens and $6 per million output on the standard tier, $4 / $12 on the Fast tier (double the output speed). OpenRouter lists the same model at $1.60 / $4.80. | 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. |
| Release | 2026-09 | 2026-07-06 |
| Bench coverage | 11/11 scored · avg 6.86/10 | 7/7 scored · avg 6.76/10 |
The verdict — which should you pick?
Across 4 scored shared tasks, Grok 4.7 averaged 7.80/10, beating Hy3's 6.47/10 by 1.33 points. Pick Grok 4.7 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 Grok 4.7 and Hy3 both into the Agent Operating System and dispatch each from the kanban by task type — one-shot arcade, driving and shooter builds where the whole game has to arrive in a single file → Grok 4.7, 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 — Grok 4.7 vs Hy3
Which is better, Grok 4.7 or Hy3?
On Goldie Bench, Grok 4.7 averages 7.80/10 across the shared tasks, with 0 gold, 1 silver, 2 bronze overall. Hy3 averages 6.47/10, with 0 gold, 0 silver, 0 bronze. Grok 4.7 wins the head-to-head 4–0.
How much does Grok 4.7 cost vs Hy3?
Grok 4.7: xAI's September 2026 release, priced exactly like Grok 4.6: $2 per million input tokens and $6 per million output on the standard tier, $4 / $12 on the Fast tier (double the output speed). OpenRouter lists the same model at $1.60 / $4.80. 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 Grok 4.7 vs Hy3?
Grok 4.7 has a 500,000 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 Grok 4.7 over Hy3?
Pick Grok 4.7 for: One-shot arcade, driving and shooter builds where the whole game has to arrive in a single file; High-volume agent work priced at half what the other frontier models charge; Grok Build inside the Agent OS: pick 4.7 in the tab and everything it writes lands in the workspace. The trade-off is the weaknesses we logged on the bench: 2 of 20 builds died on load or never moved when played — crypt: hud is not a function; voxelcraft: mesh.computeBoundingSphere is not a function file:///Users/j; Independent Artificial Analysis Intelligence Index v4.3.2 puts it at 46, seven points behind Claude Fable 5.1 and GPT-6 at 53; Terminal-Bench 4.0 is the weak spot xAI reports itself: 38.0% at launch.
When should I pick Hy3 over Grok 4.7?
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 Grok 4.7 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.
Related comparisons
Other head-to-heads using the same scoring system:
Grok 4.7 vs Fusion Hy3 vs Fusion Grok 4.7 vs Claude Opus 5 Hy3 vs Claude Opus 5 Grok 4.7 vs Hermes MoA Hy3 vs Hermes MoA Grok 4.7 vs GPT-5.6 Sol Hy3 vs GPT-5.6 SolFull model pages: Grok 4.7 · Hy3 · 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
















