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

Fugu Mini vs Fugu Ultra 1.1

Fugu's fast mini variant — single model, no panel, ~3 min per build. vs Sakana's multi-agent orchestrator, v1.1 — routes experts per request.

Fugu Mini · contextSakana subscription · same key as Ultra
Fugu Ultra 1.1 · context1M tokens
Fugu Mini · priceSame Sakana subscription pool as Fugu Ultra
Fugu Ultra 1.1 · priceAPI · orchestration billed
Fugu Mini · vendorSakana AI
Fugu Ultra 1.1 · vendorSakana AI

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 Fugu Ultra 1.1, side by side, on 0 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.

Fugu Ultra 1.1 · Benched on GoldieBench via Sakana's Responses API (fugu-ultra-v1.1, xhigh reasoning). Game tasks use the skill-infused threejs-game-director prompt plus a controls+graphics fix loop with an anti-regression clamp, judged on a real mid-play frame by the same Opus judge as the field.

Side-by-side on 37 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
Fugu Ultra 1.1
Game
🥉Fugu Mini on Arcade
— not attempted —
Game
Fugu Mini on Dogfight
— not attempted —
Game
Fugu Mini on Doom
— not attempted —
Fugu Mini on Dragonflight
— not attempted —
Fugu Mini on Dragonrealm
— not attempted —
Game
🥇Fugu Mini on Game
— not attempted —
Game
Fugu Mini on Neoncity
— not attempted —
Game
Fugu Mini on Neonracer
— not attempted —
Fugu Mini on Nordiccrypt
— not attempted —
Game
Fugu Mini on Outrun
— not attempted —
Game
Fugu Mini on Racing
— not attempted —
Game
Fugu Mini on Raycaster
— not attempted —
Game
Fugu Mini on Rpg
— not attempted —
Game
Fugu Mini on Skyrim
— not attempted —
Page
Fugu Mini on Landing
— not attempted —
Page
Fugu Mini on Webos
— not attempted —
Sim
Fugu Mini on Blackhole
— not attempted —
Sim
Fugu Mini on Boids
— not attempted —
Sim
Fugu Mini on Cloth
— not attempted —
Sim
Fugu Mini on Fluid
— not attempted —
Sim
Fugu Mini on Fractal
— not attempted —
Sim
Fugu Mini on Galaxy
— not attempted —
Sim
Fugu Mini on Orbit
— not attempted —
Fugu Mini on Particleforge
— not attempted —

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

Fugu Ultra 1.1

Strengths

  • Orchestrates 1-3 expert agents per request and synthesises their answers
  • Reported SWE-Bench Pro 73.7 — above Opus 4.8 and GPT-5.5 on Sakana's table
  • OpenAI- and Anthropic-compatible API — drop-in for Codex and Claude Code

Trade-offs

  • Benched as a partial run until the full 50-task batch completes
  • Region-locked: unavailable across the EU/EEA/UK/CH — access depends on where you are

Pricing & context — the spec sheet

Spec Fugu Mini Fugu Ultra 1.1
VendorSakana AISakana AI
Context windowSingle-model variant of Sakana's Fugu — no panel orchestration. Same API endpoint, much faster per call.1,000,000-token context window
PriceSame Sakana subscription pool as Fugu UltraAPI · orchestration billed
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.Sakana's Fugu Ultra v1.1 — a multi-agent system served as a model: an orchestrator routes each request across one to three expert agents and synthesises the answer. Reported (v1.0): SWE-Bench Pro 73.7, LiveCodeBench 93.2, GPQA Diamond 95.5. NOTE: Sakana geo-blocks the EU/EEA/UK/Switzerland pending GDPR compliance — benched from an allowed region.
Release2026-06-152026-07
Bench coverage36/37 scored · avg 7.75/100/0 scored · avg —

The verdict — which should you pick?

Not enough scored shared tasks yet for a head-to-head average. The live demos for both are on the matrix above — play them and form your own opinion.

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 Fugu Ultra 1.1 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, hard, high-stakes coding and reasoning where answer quality beats latency → Fugu Ultra 1.1. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Fugu Mini vs Fugu Ultra 1.1

Which is better, Fugu Mini or Fugu Ultra 1.1?

On Goldie Bench, Fugu Mini averages no scored verdicts yet across the shared tasks, with 2 gold, 0 silver, 2 bronze overall. Fugu Ultra 1.1 averages no scored verdicts yet, with 0 gold, 0 silver, 0 bronze. Not enough scored shared tasks yet to call a winner.

How much does Fugu Mini cost vs Fugu Ultra 1.1?

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. Fugu Ultra 1.1: Sakana's Fugu Ultra v1.1 — a multi-agent system served as a model: an orchestrator routes each request across one to three expert agents and synthesises the answer. Reported (v1.0): SWE-Bench Pro 73.7, LiveCodeBench 93.2, GPQA Diamond 95.5. NOTE: Sakana geo-blocks the EU/EEA/UK/Switzerland pending GDPR compliance — benched from an allowed region.

What's the context window for Fugu Mini vs Fugu Ultra 1.1?

Fugu Mini has a Single-model variant of Sakana's Fugu — no panel orchestration. Same API endpoint, much faster per call. context window. Fugu Ultra 1.1 has a 1,000,000-token context window context window.

When should I pick Fugu Mini over Fugu Ultra 1.1?

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 Fugu Ultra 1.1 over Fugu Mini?

Pick Fugu Ultra 1.1 for: Hard, high-stakes coding and reasoning where answer quality beats latency; Agentic workflows in Codex / Claude Code via the drop-in provider config; One-shot builds you want a panel of experts on, not a single model. The trade-off is the weaknesses we logged on the bench: Benched as a partial run until the full 50-task batch completes; Region-locked: unavailable across the EU/EEA/UK/CH — access depends on where you are.

How does Goldie Bench score Fugu Mini vs Fugu Ultra 1.1?

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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