
Real head-to-head · same prompt, one shot
Fugu Mini vs Grok 4.6
Fugu's fast mini variant — single model, no panel, ~3 min per build. vs Frontier intelligence at half the frontier price.
Head-to-head verdict: Fugu Mini wins 9–3.
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 Fugu Mini and Grok 4.6, side by side, on 12 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.
Fugu Mini · Dispatched from Agent OS as the fast Sakana lane. Bench scored by Claude judge against the same 42 prompts.
Grok 4.6 · Benched on 16 skill-infused game builds, every one played through its full gameplay arc before scoring, then the broken ones were handed back to Grok 4.6 to repair itself.
Side-by-side on 45 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 ↓
Fugu Mini
Grok 4.6
Game
Game
Game
Game
Game
Game
Game
Game
Game
Game
Game
Game
Game
— not attempted —
Game
— not attempted —
Game
— not attempted —
Game
— not attempted —
Game
— not attempted —
Game
— not attempted —
Game
— not attempted —
Game
— not attempted —
Game
— not attempted —
Game
— not attempted —
Page
— not attempted —
Page
— not attempted —
Where Fugu Mini beat Grok 4.6
The tasks where I gave Fugu Mini a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
Skyrim
Game
Fugu Mini 8.0
·
Grok 4.6 1.5
(+6.5)
What I saw: Mini gap-fill — 13KB Skyrim-style open world. Smoke-test PASS (0.9% diff).
Nordiccrypt
Game
Fugu Mini 7.0
·
Grok 4.6 3.0
(+4.0)
What I saw: Mini gap-fill — 31KB Nordic dungeon. Smoke-test MAYBE (0.5% diff) — pointer-lock FPS; flagged for manual verification.
Neoncity
Game
Fugu Mini 8.5
·
Grok 4.6 5.4
(+3.1)
What I saw: Cyberpunk neon city flythrough. Smoke-test PASS (9.6% pixel diff — strong motion).
Racing
Game
Fugu Mini 8.0
·
Grok 4.6 5.4
(+2.6)
What I saw: 3D arcade racer with banking turns + drift. Smoke-test PASS.
Doom
Game
Fugu Mini 8.0
·
Grok 4.6 6.4
(+1.6)
What I saw: Doom-style raycaster FPS with sprite enemies. Smoke-test PASS (pixel change after click+keys).
Where Grok 4.6 beat Fugu Mini
The tasks where I gave Grok 4.6 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
Neonracer
Game
Grok 4.6 8.4
·
Fugu Mini 8.0
(+0.4)
· polished neon racer
What I saw: Strong synthwave scene with glowing pink rails, palm/building environment, retro sun, and a clean 3D ship plus polished HUD (armor/speed/boost, score, IMPACT banner). Vapor-trail particle effects aren't clearly visible in this shot, keeping it just shy of the field's best.
Arcade
Game
Grok 4.6 8.7
·
Fugu Mini 8.5
(+0.2)
· 3D breakout cityscape
What I saw: Strong: a fully-rendered 3D breakout with atmospheric cityscape, glowing rails, detailed paddle craft, brick grid, active ball with particle trail, and polished HUD (core/velocity/lives/score/wave). Weak: perspective makes the brick field feel small and the 3D angle slightly comp…
Outrun
Game
Grok 4.6 8.6
·
Fugu Mini 8.5
(+0.1)
What I saw: Best one-shot of the Grok 4.6 run. Full synthwave stack: magenta laser grid, banked road with painted lines and neon kerbs, a multi-part car with a real headlight pool, light-gates, palm rows and a city skyline, plus barrier obstacles you actually dodge. Played 25s: SPEED climbed…
Strengths & weaknesses I logged
Fugu Mini
Strengths
- Zero panel orchestration — much lower latency than Ultra
- Same Sakana subscription, no extra cost
- Doesn't time out on heavy game/3D prompts where Ultra stalls
Trade-offs
- Single model only — no ensemble verdict
- Newer than Ultra — less calibration / verification
Grok 4.6
Strengths
- Ties GPT-5.6 Sol at 61 on the Artificial Analysis Intelligence Index, one point behind Claude Fable 5 Max
- Trained with agentic reinforcement learning for long-running agents, so it holds a spec across a 40KB single-file build
- Fixes its own broken builds: handed the exact runtime error, it repaired 4 of 4 failed games on the first retry
- Very strong arcade and shooter output - the synthwave racer and the Doom raycaster are top-tier one-shots
Trade-offs
- Flight models are its weak spot: both the flight sim and the dogfight shipped unflyable on the first pass
- Two of sixteen game builds died on a hard error (a duplicate identifier and a bad computeBoundingSphere call)
- Worlds are lit and composed but usually untextured, so terrain reads as flat coloured planes
Pricing & context — the spec sheet
| Spec | Fugu Mini | Grok 4.6 |
|---|---|---|
| Vendor | Sakana AI | xAI |
| Context window | Single-model variant of Sakana's Fugu — no panel orchestration. Same API endpoint, much faster per call. | 500,000 tokens |
| Price | Same Sakana subscription pool as Fugu Ultra | $2 in / $6 out per M tokens |
| Pricing detail | The non-Ultra `fugu` model on Sakana's API. Sakana describes it as 'Fast mini model optimized for low latency yet high quality responses.' Crucially: zero orchestration tokens per call (vs Ultra's panel of thousands). Returns in ~3 min instead of 6-15 min and doesn't time out on heavy prompts. | xAI's August 2026 flagship. $2 per million input tokens and $6 per million output tokens on the standard tier (the Fast tier is double), which is roughly half what the other frontier models charge for the same Artificial Analysis Intelligence Index score of 61. |
| Release | 2026-06-15 | 2026-08 |
| Bench coverage | 36/37 scored · avg 7.75/10 | 20/20 scored · avg 5.95/10 |
The verdict — which should you pick?
Across 12 scored shared tasks, Fugu Mini averaged 7.67/10, beating Grok 4.6's 5.89/10 by 1.78 points. Pick Fugu Mini 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 Fugu Mini and Grok 4.6 both into the Agent Operating System and dispatch each from the kanban by task type — agent loops where latency matters more than panel consensus → Fugu Mini, high-volume agent work where the per-token bill decides what you can afford to run → Grok 4.6. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.
FAQ — Fugu Mini vs Grok 4.6
Which is better, Fugu Mini or Grok 4.6?
On Goldie Bench, Fugu Mini averages 7.67/10 across the shared tasks, with 2 gold, 0 silver, 0 bronze overall. Grok 4.6 averages 5.89/10, with 1 gold, 0 silver, 0 bronze. Fugu Mini wins the head-to-head 9–3.
How much does Fugu Mini cost vs Grok 4.6?
Fugu Mini: The non-Ultra `fugu` model on Sakana's API. Sakana describes it as 'Fast mini model optimized for low latency yet high quality responses.' Crucially: zero orchestration tokens per call (vs Ultra's panel of thousands). Returns in ~3 min instead of 6-15 min and doesn't time out on heavy prompts. Grok 4.6: xAI's August 2026 flagship. $2 per million input tokens and $6 per million output tokens on the standard tier (the Fast tier is double), which is roughly half what the other frontier models charge for the same Artificial Analysis Intelligence Index score of 61.
What's the context window for Fugu Mini vs Grok 4.6?
Fugu Mini has a Single-model variant of Sakana's Fugu — no panel orchestration. Same API endpoint, much faster per call. context window. Grok 4.6 has a 500,000 tokens context window.
When should I pick Fugu Mini over Grok 4.6?
Pick Fugu Mini for: Agent loops where latency matters more than panel consensus; Quick first-drafts you'll refine downstream; Filling out a bench when Ultra is timing out. The trade-off is the weaknesses we logged on the bench: Single model only — no ensemble verdict; Newer than Ultra — less calibration / verification.
When should I pick Grok 4.6 over Fugu Mini?
Pick Grok 4.6 for: High-volume agent work where the per-token bill decides what you can afford to run; Arcade, shooter and driving builds in one shot; Self-repair loops - it is unusually good at fixing a build when you hand it the real error. The trade-off is the weaknesses we logged on the bench: Flight models are its weak spot: both the flight sim and the dogfight shipped unflyable on the first pass; Two of sixteen game builds died on a hard error (a duplicate identifier and a bad computeBoundingSphere call); Worlds are lit and composed but usually untextured, so terrain reads as flat coloured planes.
How does Goldie Bench score Fugu Mini vs Grok 4.6?
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:
Fugu Mini vs Fusion Grok 4.6 vs Fusion Fugu Mini vs Claude Opus 5 Grok 4.6 vs Claude Opus 5 Fugu Mini vs Hermes MoA Grok 4.6 vs Hermes MoA Fugu Mini vs GPT-5.6 Sol Grok 4.6 vs GPT-5.6 SolFull model pages: Fugu Mini · Grok 4.6 · 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


































