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

Fugu Ultra 1.1 vs Kimi K2.7 · Fast

Sakana's multi-agent orchestrator, v1.1 — routes experts per request. vs Fast mode — top speed, minimal thinking.

Fugu Ultra 1.1 · context1M tokens
Kimi K2.7 · Fast · context256K tokens
Fugu Ultra 1.1 · priceAPI · orchestration billed
Kimi K2.7 · Fast · priceFlat plan (no per-token bill)
Fugu Ultra 1.1 · vendorSakana AI
Kimi K2.7 · Fast · vendorMoonshot 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 1.1 and Kimi K2.7 · Fast, side by side, on 1 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 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.

Kimi K2.7 · Fast · Wired into Agent OS as the snappy default — first-pass attempts, agent chatter, live demos.

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 1.1
Kimi K2.7 · Fast
🥉Fugu Ultra 1.1 on Dragonrealm
Kimi K2.7 · Fast on Dragonrealm
Game
— not attempted —
Kimi K2.7 · Fast on Arcade
Game
— not attempted —
Kimi K2.7 · Fast on Crypt
Game
— not attempted —
Kimi K2.7 · Fast on Dogfight
Game
— not attempted —
Kimi K2.7 · Fast on Doom
— not attempted —
Kimi K2.7 · Fast on Dragonflight
Game
— not attempted —
Kimi K2.7 · Fast on Flightsim
Game
— not attempted —
Kimi K2.7 · Fast on Game
Game
— not attempted —
Kimi K2.7 · Fast on Gtadrive
Game
— not attempted —
Kimi K2.7 · Fast on Gtafoot
— not attempted —
Kimi K2.7 · Fast on Neonblaster
Game
— not attempted —
Kimi K2.7 · Fast on Neoncity
Game
— not attempted —
Kimi K2.7 · Fast on Neonracer
— not attempted —
Kimi K2.7 · Fast on Nordiccrypt
Game
— not attempted —
Kimi K2.7 · Fast on Outrun
Game
— not attempted —
Kimi K2.7 · Fast on Parachute
Game
— not attempted —
Kimi K2.7 · Fast on Pool
Game
— not attempted —
Kimi K2.7 · Fast on Racing
Game
— not attempted —
Kimi K2.7 · Fast on Raycaster
Game
— not attempted —
Kimi K2.7 · Fast on Rpg
Game
— not attempted —
Kimi K2.7 · Fast on Skyrim
— not attempted —
Kimi K2.7 · Fast on Twilightvale
Game
— not attempted —
Kimi K2.7 · Fast on Voxelcraft
Page
— not attempted —
Kimi K2.7 · Fast on Aipbpromo

Strengths & weaknesses I logged

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

Kimi K2.7 · Fast

Strengths

  • Lowest latency of the three Kimi modes for short builds
  • Same 256K context as Quality mode
  • Best when you need agent-loop responsiveness over polish

Trade-offs

  • Skips deeper reasoning passes — bronze-tier on tasks needing planning
  • Julian explicitly does not assign scores to Kimi modes on the standalone bench

Pricing & context — the spec sheet

Spec Fugu Ultra 1.1 Kimi K2.7 · Fast
VendorSakana AIMoonshot AI
Context window1,000,000-token context window256,000 tokens
PriceAPI · orchestration billedFlat plan (no per-token bill)
Pricing detailSakana'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.Same flat-rate plan as standard Kimi K2.7 — Fast mode is a runtime toggle, not a separate model. Vendor: Moonshot AI (moonshot.ai).
Release2026-072026-06
Bench coverage1/1 scored · avg 8.60/100/47 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 Ultra 1.1 and Kimi K2.7 · Fast both into the Agent Operating System and dispatch each from the kanban by task type — hard, high-stakes coding and reasoning where answer quality beats latency → Fugu Ultra 1.1, snappy iteration inside agent loops → Kimi K2.7 · Fast. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Fugu Ultra 1.1 vs Kimi K2.7 · Fast

Which is better, Fugu Ultra 1.1 or Kimi K2.7 · Fast?

On Goldie Bench, Fugu Ultra 1.1 averages no scored verdicts yet across the shared tasks, with 0 gold, 0 silver, 1 bronze overall. Kimi K2.7 · Fast 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 Ultra 1.1 cost vs Kimi K2.7 · Fast?

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. Kimi K2.7 · Fast: Same flat-rate plan as standard Kimi K2.7 — Fast mode is a runtime toggle, not a separate model. Vendor: Moonshot AI (moonshot.ai).

What's the context window for Fugu Ultra 1.1 vs Kimi K2.7 · Fast?

Fugu Ultra 1.1 has a 1,000,000-token context window context window. Kimi K2.7 · Fast has a 256,000 tokens context window.

When should I pick Fugu Ultra 1.1 over Kimi K2.7 · Fast?

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.

When should I pick Kimi K2.7 · Fast over Fugu Ultra 1.1?

Pick Kimi K2.7 · Fast for: Snappy iteration inside agent loops; Short prompts where Quality mode would over-think; Live demos where latency matters more than the last 5% of polish. The trade-off is the weaknesses we logged on the bench: Skips deeper reasoning passes — bronze-tier on tasks needing planning; Julian explicitly does not assign scores to Kimi modes on the standalone bench.

How does Goldie Bench score Fugu Ultra 1.1 vs Kimi K2.7 · Fast?

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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