
Real head-to-head · same prompt, one shot
Fugu Mini vs Kimi K2.7 · No-Think
Fugu's fast mini variant — single model, no panel, ~3 min per build. vs Pure execution mode — no chain of thought.
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 Kimi K2.7 · No-Think, side by side, on 3 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.
Kimi K2.7 · No-Think · Reserved for templated transforms where the plan is already in the prompt — the model just executes.
Side-by-side on 26 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 = 🥉).
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Fugu Mini
Kimi K2.7 · No-Think
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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
Kimi K2.7 · No-Think
Strengths
- Skips planning to ship straight to code
- Useful when you've already done the reasoning in the prompt
- Predictable latency for batched jobs
Trade-offs
- Loses ground on multi-step tasks that benefit from planning
- Not scored on the standalone bench — see methodology
Pricing & context — the spec sheet
| Spec | Fugu Mini | Kimi K2.7 · No-Think |
|---|---|---|
| Vendor | Sakana AI | Moonshot AI |
| Context window | Single-model variant of Sakana's Fugu — no panel orchestration. Same API endpoint, much faster per call. | 256,000 tokens |
| Price | Same Sakana subscription pool as Fugu Ultra | Flat plan (no per-token bill) |
| 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. | Same flat-rate plan as standard Kimi K2.7 — No-Think disables the chain-of-thought layer at runtime. |
| Release | 2026-06-15 | 2026-06 |
| Bench coverage | 2/26 scored · avg 5.50/10 | 0/3 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 Kimi K2.7 · No-Think 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, templated transforms where the plan is in the prompt → Kimi K2.7 · No-Think. That's the same setup I run for the 3,600+ founders inside the AI Profit Boardroom.
FAQ — Fugu Mini vs Kimi K2.7 · No-Think
Which is better, Fugu Mini or Kimi K2.7 · No-Think?
On Goldie Bench, Fugu Mini averages no scored verdicts yet across the shared tasks, with 0 gold, 0 silver, 0 bronze overall. Kimi K2.7 · No-Think 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 Kimi K2.7 · No-Think?
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. Kimi K2.7 · No-Think: Same flat-rate plan as standard Kimi K2.7 — No-Think disables the chain-of-thought layer at runtime.
What's the context window for Fugu Mini vs Kimi K2.7 · No-Think?
Fugu Mini has a Single-model variant of Sakana's Fugu — no panel orchestration. Same API endpoint, much faster per call. context window. Kimi K2.7 · No-Think has a 256,000 tokens context window.
When should I pick Fugu Mini over Kimi K2.7 · No-Think?
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 Kimi K2.7 · No-Think over Fugu Mini?
Pick Kimi K2.7 · No-Think for: Templated transforms where the plan is in the prompt; Batched code generation jobs; Workflows where you want the model to stop second-guessing. The trade-off is the weaknesses we logged on the bench: Loses ground on multi-step tasks that benefit from planning; Not scored on the standalone bench — see methodology.
How does Goldie Bench score Fugu Mini vs Kimi K2.7 · No-Think?
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 Kimi K2.7 · No-Think vs Fusion Fugu Mini vs Opus 4.8 Kimi K2.7 · No-Think vs Opus 4.8 Fugu Mini vs GLM-5.2 Kimi K2.7 · No-Think vs GLM-5.2 Fugu Mini vs Grok Kimi K2.7 · No-Think vs GrokFull model pages: Fugu Mini · Kimi K2.7 · No-Think · 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 3,600+ founders shipping with it every day all live inside the AI Profit Boardroom.
3,600+founders
258documented wins
38countries
$100k+/mocommunity MRR
























