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

Fusion vs Opus 4.8

Multi-model panel — Fable 5 + GPT-5.5, ensembled. Beats Fable 5 at half the price. vs The reasoning king — deepest thinking, premium price.

Head-to-head verdict: Fusion wins 36–2 with 9 ties.

Fusion · contextVaries (per-panel)
Opus 4.8 · context200K tokens
Fusion · priceOpenRouter Fusion API pricing
Opus 4.8 · price$15 / $75 per M tokens
Fusion · vendorOpenRouter
Opus 4.8 · vendorAnthropic

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 Fusion and Opus 4.8, side by side, on 47 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.

Fusion · Dispatched from Agent OS for research-heavy prompts where ensemble accuracy outweighs single-model speed.

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 = 🥉).

Task ↓
Fusion
Opus 4.8
Game
🥉Fusion on Arcade
🥉Opus 4.8 on Arcade
Game
🥇Fusion on Crypt
Opus 4.8 on Crypt
Game
🥇Fusion on Dogfight
Opus 4.8 on Dogfight
Game
🥈Fusion on Doom
🥈Opus 4.8 on Doom
🥇Fusion on Dragonflight
Opus 4.8 on Dragonflight
🥇Fusion on Dragonrealm
Opus 4.8 on Dragonrealm
Game
🥇Fusion on Flightsim
Opus 4.8 on Flightsim
Game
🥇Fusion on Game
Opus 4.8 on Game
Game
🥇Fusion on Gtadrive
Opus 4.8 on Gtadrive
Game
🥇Fusion on Gtafoot
Opus 4.8 on Gtafoot
🥇Fusion on Neonblaster
Opus 4.8 on Neonblaster
Game
Fusion on Neoncity
Opus 4.8 on Neoncity
Game
Fusion on Neonracer
Opus 4.8 on Neonracer
🥇Fusion on Nordiccrypt
Opus 4.8 on Nordiccrypt
Game
Fusion on Outrun
Opus 4.8 on Outrun
Game
🥇Fusion on Parachute
Opus 4.8 on Parachute
Game
Fusion on Pool
Opus 4.8 on Pool
Game
🥇Fusion on Racing
Opus 4.8 on Racing
Game
🥈Fusion on Raycaster
Opus 4.8 on Raycaster
Game
Fusion on Rpg
Opus 4.8 on Rpg
Game
🥇Fusion on Skyrim
Opus 4.8 on Skyrim
🥇Fusion on Twilightvale
Opus 4.8 on Twilightvale
Game
🥇Fusion on Voxelcraft
Opus 4.8 on Voxelcraft
Page
Fusion on Aipbpromo
Opus 4.8 on Aipbpromo

Where Fusion beat Opus 4.8

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

Fusion 9.5 · Opus 4.8 6.0 (+3.5) · winner · best dungeon

What I saw: RETRY @ 24K tokens — now complete: 29KB with rAF + 7 input handlers + closed tags. Torch-lit ancient ruin, PointerLockControls, bloom, chasing enemies, boss room. The original truncated attempt has been replaced with a working build.

Webos Page
Fusion 9.0 · Opus 4.8 5.5 (+3.5) · winner · most ambitious app

What I saw: A tiny working desktop OS in 24KB — wallpaper, taskbar dock with app icons, draggable resizable windows for Notes, Paint, Terminal (echo-only), Calculator. Apple-Sequoia aesthetic. Most ambitious application build on the bench.

Crypt Game
Fusion 9.0 · Opus 4.8 6.0 (+3.0) · winner · dungeon crawler

What I saw: First-person Nordic dungeon on three.js with PointerLockControls + WebGL. Torch-lit corridors, held torch, skeletons to strike, health + gold HUD. The crypt Julian wanted.

Pool Game
Fusion 8.0 · Opus 4.8 5.5 (+2.5)

What I saw: Canvas2D billiards on a green felt table with 16 balls, side + corner pockets, click-drag aim + power. Sound physics, on-brief.

Fusion 9.0 · Opus 4.8 7.0 (+2.0) · winner · Dragon Realm

What I saw: The Dragon Realm — Skyrim-style frozen open world with full HUD (score/vitality/stamina), snowy mountains, low-poly pine forest, a flying dragon. WASD + mouse-look. Tied with GLM's deep build at the top of the task.

Where Opus 4.8 beat Fusion

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.

Orbit Sim
Opus 4.8 9.0 · Fusion 8.0 (+1.0) · winner · accuracy

What I saw: Opus nailed the brief — labelled planet orbits, a real NEO / close-pass panel, a sim clock. GLM went for drama: a glowing nebula swirl that's gorgeous but reads more galaxy than orbit map. Kimi's is accurate but dim and sparse.

Outrun Game
Opus 4.8 8.5 · Fusion 8.0 (+0.5)

What I saw: GLM shipped the full arcade package — an 'OUTRUN 2086' title, gear, RPM and velocity dials, mountains, the car cruising at 90+. Opus's road curves hard past rumble strips and palms into a scanline sun. Kimi's 'NEON OUTRUN' is clean and on-brief. GLM edges it on sheer completeness.

Strengths & weaknesses I logged

Fusion

Strengths

  • Premium Fusion panel scored 69.0% on DRACO deep-research benchmark — beats solo Fable 5 by +3.7 points
  • Budget panel ties Fable 5 at ~64.7% for roughly half the cost
  • Vendor-agnostic — model panel can swap as new frontier releases land

Trade-offs

  • Ensemble latency higher than any single model (panel calls run in parallel but the slowest still gates the response)
  • No per-task goldiebench scoring yet — bench rank pending

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 Fusion Opus 4.8
VendorOpenRouterAnthropic
Context windowVaries — depends on which panel models are dispatched200,000 tokens (1M with extended thinking)
PriceOpenRouter Fusion API pricing$15 / $75 per M tokens
Pricing detailOpenRouter's Fusion API dispatches a single prompt to multiple frontier models and ensembles the answers. Premium panel: Fable 5 + GPT-5.5. Budget panel: cheaper open-weights models. Roughly half the per-token cost of a Fable 5 solo call.Premium pricing via the Anthropic API: $15 per million input tokens, $75 per million output tokens. Extended thinking is included but adds latency.
Release2026-06-142026-05
Bench coverage47/47 scored · avg 8.59/1047/47 scored · avg 7.51/10

The verdict — which should you pick?

Across 47 scored shared tasks, Fusion averaged 8.59/10, beating Opus 4.8's 7.51/10 by 1.08 points. Pick Fusion 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 Fusion and Opus 4.8 both into the Agent Operating System and dispatch each from the kanban by task type — deep-research workflows where panel consensus beats single-model answers → Fusion, 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 — Fusion vs Opus 4.8

Which is better, Fusion or Opus 4.8?

On Goldie Bench, Fusion averages 8.59/10 across the shared tasks, with 21 gold, 3 silver, 3 bronze overall. Opus 4.8 averages 7.51/10, with 3 gold, 1 silver, 1 bronze. Fusion wins the head-to-head 36–2.

How much does Fusion cost vs Opus 4.8?

Fusion: OpenRouter's Fusion API dispatches a single prompt to multiple frontier models and ensembles the answers. Premium panel: Fable 5 + GPT-5.5. Budget panel: cheaper open-weights models. Roughly half the per-token cost of a Fable 5 solo call. 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 Fusion vs Opus 4.8?

Fusion has a Varies — depends on which panel models are dispatched context window. Opus 4.8 has a 200,000 tokens (1M with extended thinking) context window.

When should I pick Fusion over Opus 4.8?

Pick Fusion for: Deep-research workflows where panel consensus beats single-model answers; Cost-sensitive operators who want Fable-5-class output at ~half the bill; Production agents that benefit from vendor-redundancy on every call. The trade-off is the weaknesses we logged on the bench: Ensemble latency higher than any single model (panel calls run in parallel but the slowest still gates the response); No per-task goldiebench scoring yet — bench rank pending.

When should I pick Opus 4.8 over Fusion?

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 Fusion 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.

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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