
Fugu Mini vs Opus 4.8
Fugu's fast mini variant — single model, no panel, ~3 min per build. vs The reasoning king — deepest thinking, premium price.
Head-to-head verdict: Fugu Mini wins 20–10 with 6 ties.
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 Opus 4.8, 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.
Opus 4.8 · The default when the build has to ship on the first prompt — Opus is the safety net inside Agent OS for hard one-shots.
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 = 🥉).
Where Fugu Mini beat Opus 4.8
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: Juicy browser game. Smoke-test PASS with 55% pixel diff — most reactive build in the sweep.
What I saw: Mini gap-fill (round 2) — Tron procedural terrain. Smoke-test PASS (8.6% diff — strong motion).
What I saw: Boids flocking sim — separation/alignment/cohesion. Smoke-test PASS, agents visibly respond to mouse disturbance.
What I saw: Skyrim-style frozen open world with HUD. Smoke-test PASS.
What I saw: 2D fluid simulation, click-drag density+velocity. Smoke-test PASS.
Where Opus 4.8 beat Fugu Mini
The tasks where I gave Opus 4.8 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
What I saw: All three are genuinely good. Kimi's is the jaw-dropper — a deep rainbow plunge into a seahorse spiral, dense with self-similar detail. Opus zooms smoothly into the seahorse valley with a tasteful cycling palette. GLM frames the whole iconic set in a fire palette with a live coor…
What I saw: Opus built a proper interactive 3D galaxy — drag to orbit a 7,000-star cloud around a glowing core. Kimi's is the prettiest single frame: a clean tilted spiral disk with rainbow arms. GLM's runs on a canvas with a slick NGC-style HUD and zoom, just less dramatic at a glance. Thre…
What I saw: 14KB · plays clean · webgl, input
What I saw: Funniest result of the lot: GLM and Opus independently produced near-identical premium 'Introducing Nova 1 — Intelligence, reimagined / distilled' keynote pages — gradient hero, full nav, pricing tiers. A dead heat. Kimi's was a plainer set of feature cards.
What I saw: Opus nailed it — a pure-black event horizon, a bright photon ring, and the disk bent up and over the top exactly like the film's lensing. GLM came in strong with a clean ring and a starfield warping past the hole. Kimi's disk is fine, but the background is a soft grey blur instea…
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
Opus 4.8
Strengths
- Most consistent across the Goldie Bench bench — no weak build, 8.46/10 average
- Deepest one-shot reasoning, especially on game-feel and physics
- Extended thinking mode handles up to 1M tokens of context
Trade-offs
- 5–10× the per-token cost of every other model on the bench
- Less flair on cinematic visuals than GLM-5.2 — playing it safer wins on accuracy, costs you on showpiece moments
Pricing & context — the spec sheet
| Spec | Fugu Mini | Opus 4.8 |
|---|---|---|
| Vendor | Sakana AI | Anthropic |
| Context window | Single-model variant of Sakana's Fugu — no panel orchestration. Same API endpoint, much faster per call. | 200,000 tokens (1M with extended thinking) |
| Price | Same Sakana subscription pool as Fugu Ultra | $15 / $75 per M tokens |
| 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. | Premium pricing via the Anthropic API: $15 per million input tokens, $75 per million output tokens. Extended thinking is included but adds latency. |
| Release | 2026-06-15 | 2026-05 |
| Bench coverage | 36/37 scored · avg 7.75/10 | 47/47 scored · avg 7.51/10 |
The verdict — which should you pick?
Across 36 scored shared tasks, the averages are essentially tied — Fugu Mini 7.75 vs Opus 4.8 7.58. 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 Opus 4.8 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, mission-critical one-shot builds where 'has to work the first time' matters → Opus 4.8. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.
FAQ — Fugu Mini vs Opus 4.8
Which is better, Fugu Mini or Opus 4.8?
On Goldie Bench, Fugu Mini averages 7.75/10 across the shared tasks, with 2 gold, 0 silver, 1 bronze overall. Opus 4.8 averages 7.58/10, with 3 gold, 1 silver, 1 bronze. Fugu Mini wins the head-to-head 20–10.
How much does Fugu Mini cost vs Opus 4.8?
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. Opus 4.8: Premium pricing via the Anthropic API: $15 per million input tokens, $75 per million output tokens. Extended thinking is included but adds latency.
What's the context window for Fugu Mini vs Opus 4.8?
Fugu Mini has a Single-model variant of Sakana's Fugu — no panel orchestration. Same API endpoint, much faster per call. context window. Opus 4.8 has a 200,000 tokens (1M with extended thinking) context window.
When should I pick Fugu Mini over Opus 4.8?
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 Opus 4.8 over Fugu Mini?
Pick Opus 4.8 for: Mission-critical one-shot builds where 'has to work the first time' matters; Hard reasoning tasks (planning, multi-step) where you'll pay for the depth; Anything where vendor reliability beats the per-token bill. The trade-off is the weaknesses we logged on the bench: 5–10× the per-token cost of every other model on the bench; Less flair on cinematic visuals than GLM-5.2 — playing it safer wins on accuracy, costs you on showpiece moments.
How does Goldie Bench score Fugu Mini vs Opus 4.8?
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 Opus 4.8 vs Fusion Fugu Mini vs Claude Opus 5 Opus 4.8 vs Claude Opus 5 Fugu Mini vs Hermes MoA Opus 4.8 vs Hermes MoA Fugu Mini vs GPT-5.6 Sol Opus 4.8 vs GPT-5.6 SolFull model pages: Fugu Mini · Opus 4.8 · 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.














































