
Fugu Mini vs Muse Spark 1.2
Fugu's fast mini variant — single model, no panel, ~3 min per build. vs Meta's coding reasoning model — co-trained with its own agent, 1M-token window.
Head-to-head verdict: Muse Spark 1.2 wins 22–14.
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 Muse Spark 1.2, 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.
Muse Spark 1.2 · Cloud coder via OpenRouter; the Muse Code agent (one-command install) is its native harness.
Side-by-side on 50 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 = 🥉).
Where Fugu Mini beat Muse Spark 1.2
The tasks where I gave Fugu Mini a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
What I saw: Pseudo-3D OutRun racer with synthwave horizon. Smoke-test PASS (26% pixel diff after arrow keys).
What I saw: Dragon flight through neon rings with HUD. Smoke-test PASS.
What I saw: Mini gap-fill — 13KB Skyrim-style open world. Smoke-test PASS (0.9% diff).
What I saw: Doom-style raycaster FPS with sprite enemies. Smoke-test PASS (pixel change after click+keys).
What I saw: Gerstner ocean waves with sun reflection. Smoke-test PASS (9.6% pixel diff — strong wave motion).
Where Muse Spark 1.2 beat Fugu Mini
The tasks where I gave Muse Spark 1.2 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
What I saw: Strong, polished chase-cam dogfight: crisp HUD with meters/radar/lock indicator, clean 3D plane and volumetric clouds, visible bandits and a lock-on target — very shippable. Slightly held back from top by generic sky-only environment and no visible combat action (tracers/effects)…
What I saw: Strong: a beautifully rendered GPU Julia set with smooth coloring, orbit-trap glow, and a polished glassmorphic control panel (mode toggle, iterations, palettes, live zoom/center stats). Weak: nothing major visible — a very complete, on-brief, task-winning build.
What I saw: Strong 3D scene with vivid, silky aurora curtains over snowy dunes, silhouetted pine trees, moon and a frozen lake, plus a polished glassy HUD with Kp badge and control chips. Rich composition and glowing shader ray detail push it past the field's best; only minor nit is the some…
What I saw: Strong render — clearly defined spiral arms with a bright glowing core, a warm-to-cool color gradient disk, and polished glassy UI (title, color mode, arm slider, hint bar). The composition is genuinely galaxy-like and on-brief with rich interactivity (swirl/zoom/warp), making it…
What I saw: Strong, cohesive macOS-style build with all three apps functional and visible (Notes with toolbar, Paint with working strokes/palette, Terminal responding to ls/echo), plus a Files app, glossy dock, topbar with live clock, and a gorgeous animated gradient wallpaper. Only minor ni…
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
Muse Spark 1.2
Strengths
- Generative art & shader-feel scenes (fractal 8.7, aurora/galaxy/matrix/synthwave 8.6)
- Full app chrome one-shot (macOS-clone desktop 8.6)
- Fast one-shots — most builds landed in 45-80s
- 1M context for whole-repo work
Trade-offs
- 3D game worlds often render black/empty (dragonrealm 2.5, dogfight 3.0, doom 3.5)
- Open-world briefs collapse to HUD-only shells
- Reasoning tokens billed as output
Pricing & context — the spec sheet
| Spec | Fugu Mini | Muse Spark 1.2 |
|---|---|---|
| Vendor | Sakana AI | Meta |
| Context window | Single-model variant of Sakana's Fugu — no panel orchestration. Same API endpoint, much faster per call. | 1,000,000 tokens |
| Price | Same Sakana subscription pool as Fugu Ultra | $1.25 in / $4.25 out per 1M |
| 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. | Meta's coding-optimized reasoning model, released 2026-08-05 beside the Muse Code agent. $0.15/1M cached input. Contributor tier is token-rate-limited in a rolling 5-hour window. Benched release-day via OpenRouter (meta/muse-spark-1.2, first-party listing); Opus 4.8 judged every real rendered poster, same rubric as the whole field. |
| Release | 2026-06-15 | 2026-08-05 |
| Bench coverage | 36/37 scored · avg 7.75/10 | 50/50 scored · avg 7.44/10 |
The verdict — which should you pick?
Across 36 scored shared tasks, the averages are essentially tied — Fugu Mini 7.75 vs Muse Spark 1.2 7.46. 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 Muse Spark 1.2 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, generative-art visuals → Muse Spark 1.2. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.
FAQ — Fugu Mini vs Muse Spark 1.2
Which is better, Fugu Mini or Muse Spark 1.2?
On Goldie Bench, Fugu Mini averages 7.75/10 across the shared tasks, with 2 gold, 0 silver, 1 bronze overall. Muse Spark 1.2 averages 7.46/10, with 0 gold, 3 silver, 4 bronze. Muse Spark 1.2 wins the head-to-head 22–14.
How much does Fugu Mini cost vs Muse Spark 1.2?
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. Muse Spark 1.2: Meta's coding-optimized reasoning model, released 2026-08-05 beside the Muse Code agent. $0.15/1M cached input. Contributor tier is token-rate-limited in a rolling 5-hour window. Benched release-day via OpenRouter (meta/muse-spark-1.2, first-party listing); Opus 4.8 judged every real rendered poster, same rubric as the whole field.
What's the context window for Fugu Mini vs Muse Spark 1.2?
Fugu Mini has a Single-model variant of Sakana's Fugu — no panel orchestration. Same API endpoint, much faster per call. context window. Muse Spark 1.2 has a 1,000,000 tokens context window.
When should I pick Fugu Mini over Muse Spark 1.2?
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 Muse Spark 1.2 over Fugu Mini?
Pick Muse Spark 1.2 for: Generative-art visuals; Dashboard & app-shell one-shots; Long-context refactors (1M window). The trade-off is the weaknesses we logged on the bench: 3D game worlds often render black/empty (dragonrealm 2.5, dogfight 3.0, doom 3.5); Open-world briefs collapse to HUD-only shells; Reasoning tokens billed as output.
How does Goldie Bench score Fugu Mini vs Muse Spark 1.2?
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 Muse Spark 1.2 vs Fusion Fugu Mini vs Claude Opus 5 Muse Spark 1.2 vs Claude Opus 5 Fugu Mini vs Hermes MoA Muse Spark 1.2 vs Hermes MoA Fugu Mini vs GPT-5.6 Sol Muse Spark 1.2 vs GPT-5.6 SolFull model pages: Fugu Mini · Muse Spark 1.2 · back to the leaderboard
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.














































