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

Fugu Ultra vs Fugu Ultra 1.1

Sakana's multi-agent answer to Fusion — frontier ensemble without single-vendor risk. vs Sakana's multi-agent orchestrator, v1.1 — routes experts per request.

Head-to-head verdict: Fugu Ultra wins 10–8 with 1 tie.

Fugu Ultra · context272K tokens (free) · larger via paid tier
Fugu Ultra 1.1 · context1M tokens
Fugu Ultra · price$5 / 1M input · $30 / 1M output (Fugu Ultra)
Fugu Ultra 1.1 · priceAPI · orchestration billed
Fugu Ultra · 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 Ultra and Fugu Ultra 1.1, side by side, on 19 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 Ultra · Dispatched from Agent OS as the panel-ensemble alternative to OpenRouter Fusion. Bench scored by Claude judge against the same 42 prompts as every other model.

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 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 Ultra
Fugu Ultra 1.1
Game
Fugu Ultra on Arcade
Fugu Ultra 1.1 on Arcade
Game
Fugu Ultra on Crypt
Fugu Ultra 1.1 on Crypt
Game
Fugu Ultra on Dogfight
Fugu Ultra 1.1 on Dogfight
Game
Fugu Ultra on Doom
Fugu Ultra 1.1 on Doom
🥉Fugu Ultra on Dragonflight
Fugu Ultra 1.1 on Dragonflight
Fugu Ultra on Dragonrealm
🥉Fugu Ultra 1.1 on Dragonrealm
Game
🥇Fugu Ultra on Game
Fugu Ultra 1.1 on Game
Fugu Ultra on Neonblaster
Fugu Ultra 1.1 on Neonblaster
Game
Fugu Ultra on Neoncity
Fugu Ultra 1.1 on Neoncity
Game
Fugu Ultra on Neonracer
Fugu Ultra 1.1 on Neonracer
🥈Fugu Ultra on Nordiccrypt
Fugu Ultra 1.1 on Nordiccrypt
Game
Fugu Ultra on Outrun
Fugu Ultra 1.1 on Outrun
Game
Fugu Ultra on Pool
Fugu Ultra 1.1 on Pool
Game
Fugu Ultra on Racing
Fugu Ultra 1.1 on Racing
Game
🥈Fugu Ultra on Raycaster
Fugu Ultra 1.1 on Raycaster
Game
Fugu Ultra on Rpg
Fugu Ultra 1.1 on Rpg
Game
Fugu Ultra on Skyrim
Fugu Ultra 1.1 on Skyrim
🥉Fugu Ultra on Twilightvale
Fugu Ultra 1.1 on Twilightvale
Visual
Fugu Ultra on Aurora
Fugu Ultra 1.1 on Aurora
Game
— not attempted —
🥉Fugu Ultra 1.1 on Flightsim
Game
— not attempted —
Fugu Ultra 1.1 on Gtadrive
Game
— not attempted —
Fugu Ultra 1.1 on Gtafoot
Game
— not attempted —
🥈Fugu Ultra 1.1 on Parachute
Game
Fugu Ultra on Voxelcraft
— not attempted —

Where Fugu Ultra beat Fugu Ultra 1.1

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

Raycaster Game
Fugu Ultra 8.5 · Fugu Ultra 1.1 2.0 (+6.5)

What I saw: 26KB canvas raycaster with WASD + mouse-look + distance fog + weapon bob. Clean implementation, comparable to Fusion's 17KB on the same prompt. ~$0.35 per call — roughly 1/4 the cost of Fusion.

Neoncity Game
Fugu Ultra 8.5 · Fugu Ultra 1.1 2.3 (+6.2)

What I saw: Ultra v2 — cyberpunk neon-city flythrough. Smoke-test PASS (9.1% pixel diff).

Fugu Ultra 9.0 · Fugu Ultra 1.1 5.2 (+3.8) · winner · dungeon depth

What I saw: Ultra v2 (gap-fill) — 61.5KB Nordic dungeon crawler with bloom + boss room. Smoke-test PASS with 22.8% pixel diff — highly reactive.

Aurora Visual
Fugu Ultra 8.0 · Fugu Ultra 1.1 5.5 (+2.5)

What I saw: Ultra v2 (gap-fill) — aurora over mountain ridge. Smoke-test PASS (0.8% diff — visual-only prompt).

Fugu Ultra 8.5 · Fugu Ultra 1.1 6.5 (+2.0)

What I saw: Ultra v2 — dragon through neon rings, full HUD. Smoke-test PASS (4.2% pixel diff).

Where Fugu Ultra 1.1 beat Fugu Ultra

The tasks where I gave Fugu Ultra 1.1 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.

Fugu Ultra 1.1 8.2 · Fugu Ultra 6.5 (+1.7)

What I saw: Polished 3D low-poly arcade shooter with visible enemies, active combat state (score 238, kills 1, health 75, 5 enemies), power-up pickups, crystals/asteroids scenery and a clean neon HUD — clearly functional and juicy; slightly generic ground-based feel rather than a true space …

Fugu Ultra 1.1 8.6 · Fugu Ultra 7.0 (+1.6) · Frozen combat realm

What I saw: Strong Skyrim-vibe frozen open world with layered snowy mountains, a player with visible sword, multiple approaching enemies with health orbs, runes, an event banner ('DRAGON SWOOP · FIRE BREATH') and polished HUD/compass — clearly beats the empty-walking-sim trap. Enemy models a…

Outrun Game
Fugu Ultra 1.1 8.6 · Fugu Ultra 7.0 (+1.6) · neon combat runner

What I saw: Gorgeous synthwave city with pseudo-3D road, glowing hero craft on a contact disc, and a visible enemy vehicle ahead with combat HUD (KILLS, THREAT HIGH, crosshair) — clearly a combat runner not an empty walking sim. Polished vignette, meters, and banner elevate it above the fiel…

Doom Game
Fugu Ultra 1.1 8.4 · Fugu Ultra 7.0 (+1.4) · 3D demon shooter

What I saw: Strong atmospheric 3D maze with a visible horned demon enemy, working shotgun, minimap with tracked enemies, and active combat ('CLAWED' hit feedback, HP dropped to 082) — polished HUD and lighting. Falls just shy of the field's best; enemies are more Three.js models than true ra…

Crypt Game
Fugu Ultra 1.1 7.8 · Fugu Ultra 7.0 (+0.8)

What I saw: Strong atmospheric torch-lit crypt with a visible skeleton enemy, working HUD (health/torch/kills/depth), coffins and props — clearly a combat crawler not an empty walk sim. Lighting feels a bit washed-out/bright for a 'torch-lit dungeon' and the mood lacks the deep shadowy dread…

Strengths & weaknesses I logged

Fugu Ultra

Strengths

  • SWE Bench Pro 73.7 · GPQA-D 95.5 · MRCRv2 93.6 — Sakana's published frontier-tier benchmark scores
  • Vendor-agnostic ensemble — opt out of specific providers for compliance / export-control
  • OpenAI-compatible API at api.sakana.ai — drop-in for existing tooling

Trade-offs

  • Panel orchestration adds latency — even a 'pong' burns ~2k orchestration tokens
  • Newer than Fusion; less community calibration on long-tail prompts

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 Ultra Fugu Ultra 1.1
VendorSakana AISakana AI
Context window272,000 tokens with the standard rate. Calls exceeding 272K context are billed at the higher 'long-context' rates.1,000,000-token context window
Price$5 / 1M input · $30 / 1M output (Fugu Ultra)API · orchestration billed
Pricing detailSakana's multi-agent orchestration: a single API call internally dispatches to multiple frontier models and synthesises the answer. Subscription plans run $20-$200/mo (Standard / Pro / Max); PAYG is $5/M input + $30/M output for Fugu Ultra. Direct competitor to OpenRouter Fusion's panel approach.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 coverage42/42 scored · avg 7.94/1023/24 scored · avg 6.94/10

The verdict — which should you pick?

Across 19 scored shared tasks, Fugu Ultra averaged 7.71/10, beating Fugu Ultra 1.1's 6.76/10 by 0.95 points. Pick Fugu Ultra 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 Ultra and Fugu Ultra 1.1 both into the Agent Operating System and dispatch each from the kanban by task type — teams that want fusion-class quality but need a different vendor risk profile → Fugu Ultra, 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 Ultra vs Fugu Ultra 1.1

Which is better, Fugu Ultra or Fugu Ultra 1.1?

On Goldie Bench, Fugu Ultra averages 7.71/10 across the shared tasks, with 5 gold, 2 silver, 2 bronze overall. Fugu Ultra 1.1 averages 6.76/10, with 0 gold, 1 silver, 2 bronze. Fugu Ultra wins the head-to-head 10–8.

How much does Fugu Ultra cost vs Fugu Ultra 1.1?

Fugu Ultra: Sakana's multi-agent orchestration: a single API call internally dispatches to multiple frontier models and synthesises the answer. Subscription plans run $20-$200/mo (Standard / Pro / Max); PAYG is $5/M input + $30/M output for Fugu Ultra. Direct competitor to OpenRouter Fusion's panel approach. 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 Ultra vs Fugu Ultra 1.1?

Fugu Ultra has a 272,000 tokens with the standard rate. Calls exceeding 272K context are billed at the higher 'long-context' rates. context window. Fugu Ultra 1.1 has a 1,000,000-token context window context window.

When should I pick Fugu Ultra over Fugu Ultra 1.1?

Pick Fugu Ultra for: Teams that want Fusion-class quality but need a different vendor risk profile; Operators avoiding export-controlled providers (Sakana emphasises this in their pitch); Deep-research workflows where ensemble verdicts beat single-model answers. The trade-off is the weaknesses we logged on the bench: Panel orchestration adds latency — even a 'pong' burns ~2k orchestration tokens; Newer than Fusion; less community calibration on long-tail prompts.

When should I pick Fugu Ultra 1.1 over Fugu Ultra?

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 Ultra 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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