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

Fugu Mini vs Opus 4.8

Fugu's fast mini variant — single model, no panel, ~3 min per build. vs The reasoning king — deepest thinking, premium price.

Head-to-head verdict: Fugu Mini wins 20–10 with 6 ties.

Fugu Mini · contextSakana subscription · same key as Ultra
Opus 4.8 · context200K tokens
Fugu Mini · priceSame Sakana subscription pool as Fugu Ultra
Opus 4.8 · price$15 / $75 per M tokens
Fugu Mini · vendorSakana AI
Opus 4.8 · vendorAnthropic

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 Opus 4.8, side by side, on 37 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.

Opus 4.8 · The default when the build has to ship on the first prompt — Opus is the safety net inside Agent OS for hard one-shots.

Side-by-side on 47 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
Opus 4.8
Game
🥉Fugu Mini on Arcade
🥉Opus 4.8 on Arcade
Game
Fugu Mini on Dogfight
Opus 4.8 on Dogfight
Game
Fugu Mini on Doom
🥈Opus 4.8 on Doom
Fugu Mini on Dragonflight
Opus 4.8 on Dragonflight
Fugu Mini on Dragonrealm
Opus 4.8 on Dragonrealm
Game
🥇Fugu Mini on Game
Opus 4.8 on Game
Game
Fugu Mini on Neoncity
Opus 4.8 on Neoncity
Game
Fugu Mini on Neonracer
Opus 4.8 on Neonracer
Fugu Mini on Nordiccrypt
Opus 4.8 on Nordiccrypt
Game
Fugu Mini on Outrun
Opus 4.8 on Outrun
Game
Fugu Mini on Racing
Opus 4.8 on Racing
Game
Fugu Mini on Raycaster
Opus 4.8 on Raycaster
Game
Fugu Mini on Rpg
Opus 4.8 on Rpg
Game
Fugu Mini on Skyrim
Opus 4.8 on Skyrim
Page
Fugu Mini on Landing
🥇Opus 4.8 on Landing
Page
Fugu Mini on Webos
Opus 4.8 on Webos
Sim
Fugu Mini on Blackhole
🥇Opus 4.8 on Blackhole
Sim
Fugu Mini on Boids
Opus 4.8 on Boids
Sim
Fugu Mini on Cloth
Opus 4.8 on Cloth
Sim
Fugu Mini on Fluid
Opus 4.8 on Fluid
Sim
Fugu Mini on Fractal
Opus 4.8 on Fractal
Sim
Fugu Mini on Galaxy
Opus 4.8 on Galaxy
Sim
Fugu Mini on Orbit
🥇Opus 4.8 on Orbit
Fugu Mini on Particleforge
Opus 4.8 on Particleforge

Where Fugu Mini beat Opus 4.8

The tasks where I gave Fugu Mini a higher 0–10 score on the same prompt — with the actual commentary from my source guides.

Game Game
Fugu Mini 9.0 · Opus 4.8 7.0 (+2.0) · winner · biggest visual change

What I saw: Juicy browser game. Smoke-test PASS with 55% pixel diff — most reactive build in the sweep.

Terrain Visual
Fugu Mini 8.5 · Opus 4.8 7.0 (+1.5)

What I saw: Mini gap-fill (round 2) — Tron procedural terrain. Smoke-test PASS (8.6% diff — strong motion).

Boids Sim
Fugu Mini 8.0 · Opus 4.8 7.0 (+1.0)

What I saw: Boids flocking sim — separation/alignment/cohesion. Smoke-test PASS, agents visibly respond to mouse disturbance.

Fugu Mini 8.0 · Opus 4.8 7.0 (+1.0)

What I saw: Skyrim-style frozen open world with HUD. Smoke-test PASS.

Fluid Sim
Fugu Mini 8.0 · Opus 4.8 7.0 (+1.0)

What I saw: 2D fluid simulation, click-drag density+velocity. Smoke-test PASS.

Where Opus 4.8 beat Fugu Mini

The tasks where I gave Opus 4.8 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.

Fractal Sim
Opus 4.8 8.5 · Fugu Mini 6.5 (+2.0)

What I saw: All three are genuinely good. Kimi's is the jaw-dropper — a deep rainbow plunge into a seahorse spiral, dense with self-similar detail. Opus zooms smoothly into the seahorse valley with a tasteful cycling palette. GLM frames the whole iconic set in a fire palette with a live coor…

Galaxy Sim
Opus 4.8 8.5 · Fugu Mini 6.5 (+2.0) · winner · interactive 3D

What I saw: Opus built a proper interactive 3D galaxy — drag to orbit a 7,000-star cloud around a glowing core. Kimi's is the prettiest single frame: a clean tilted spiral disk with rainbow arms. GLM's runs on a canvas with a slick NGC-style HUD and zoom, just less dramatic at a glance. Thre…

Dogfight Game
Opus 4.8 7.5 · Fugu Mini 6.0 (+1.5)

What I saw: 14KB · plays clean · webgl, input

Landing Page
Opus 4.8 9.0 · Fugu Mini 7.5 (+1.5) · tie · top

What I saw: Funniest result of the lot: GLM and Opus independently produced near-identical premium 'Introducing Nova 1 — Intelligence, reimagined / distilled' keynote pages — gradient hero, full nav, pricing tiers. A dead heat. Kimi's was a plainer set of feature cards.

Blackhole Sim
Opus 4.8 9.0 · Fugu Mini 8.0 (+1.0) · winner · hit the brief

What I saw: Opus nailed it — a pure-black event horizon, a bright photon ring, and the disk bent up and over the top exactly like the film's lensing. GLM came in strong with a clean ring and a starfield warping past the hole. Kimi's disk is fine, but the background is a soft grey blur instea…

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

Opus 4.8

Strengths

  • Most consistent across the Goldie Bench bench — no weak build, 8.46/10 average
  • Deepest one-shot reasoning, especially on game-feel and physics
  • Extended thinking mode handles up to 1M tokens of context

Trade-offs

  • 5–10× the per-token cost of every other model on the bench
  • Less flair on cinematic visuals than GLM-5.2 — playing it safer wins on accuracy, costs you on showpiece moments

Pricing & context — the spec sheet

Spec Fugu Mini Opus 4.8
VendorSakana AIAnthropic
Context windowSingle-model variant of Sakana's Fugu — no panel orchestration. Same API endpoint, much faster per call.200,000 tokens (1M with extended thinking)
PriceSame Sakana subscription pool as Fugu Ultra$15 / $75 per M tokens
Pricing detailThe 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.Premium pricing via the Anthropic API: $15 per million input tokens, $75 per million output tokens. Extended thinking is included but adds latency.
Release2026-06-152026-05
Bench coverage36/37 scored · avg 7.75/1047/47 scored · avg 7.51/10

The verdict — which should you pick?

Across 36 scored shared tasks, the averages are essentially tied — Fugu Mini 7.75 vs Opus 4.8 7.58. 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 Fugu Mini and Opus 4.8 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, mission-critical one-shot builds where 'has to work the first time' matters → Opus 4.8. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Fugu Mini vs Opus 4.8

Which is better, Fugu Mini or Opus 4.8?

On Goldie Bench, Fugu Mini averages 7.75/10 across the shared tasks, with 2 gold, 0 silver, 1 bronze overall. Opus 4.8 averages 7.58/10, with 3 gold, 1 silver, 1 bronze. Fugu Mini wins the head-to-head 20–10.

How much does Fugu Mini cost vs Opus 4.8?

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. Opus 4.8: Premium pricing via the Anthropic API: $15 per million input tokens, $75 per million output tokens. Extended thinking is included but adds latency.

What's the context window for Fugu Mini vs Opus 4.8?

Fugu Mini has a Single-model variant of Sakana's Fugu — no panel orchestration. Same API endpoint, much faster per call. context window. Opus 4.8 has a 200,000 tokens (1M with extended thinking) context window.

When should I pick Fugu Mini over Opus 4.8?

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 Opus 4.8 over Fugu Mini?

Pick Opus 4.8 for: Mission-critical one-shot builds where 'has to work the first time' matters; Hard reasoning tasks (planning, multi-step) where you'll pay for the depth; Anything where vendor reliability beats the per-token bill. The trade-off is the weaknesses we logged on the bench: 5–10× the per-token cost of every other model on the bench; Less flair on cinematic visuals than GLM-5.2 — playing it safer wins on accuracy, costs you on showpiece moments.

How does Goldie Bench score Fugu Mini vs Opus 4.8?

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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