
Fusion vs Claude Opus 5
Multi-model panel — Fable 5 + GPT-5.5, ensembled. Beats Fable 5 at half the price. vs The new Anthropic flagship — benched on all 45 one-shot builds the day it landed.
Head-to-head verdict: Fusion wins 13–0.
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 Claude Opus 5, side by side, on 22 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.
Claude Opus 5 · Benched on all 45 GoldieBench tasks via API on release day, incremental deploys as scores landed.
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 Fusion beat Claude Opus 5
The tasks where I gave Fusion a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
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.
What I saw: RETRY @ 24K tokens — now complete: 30KB juicy arcade build with 2 rAFs + 9 input handlers + Web Audio + closed tags. Score HUD, lives, polish. The original truncated version has been replaced.
What I saw: Top-down neon racer with vapor-trail particles, synthwave aesthetic, drift physics, lap timer, procedural track. 22KB.
What I saw: SHOWCASE BUILD (threejs-game-director): articulated humanoid w/ walk cycle + weapon poses, 110 instanced buildings w/ lit windows, 16 neon blade signs, wet-road reflections, cops+peds AI, cohesive GTA HUD (cash/minimap/stars/weapon wheel), 71fps. Eyeball-gate passed.
What I saw: SHOWCASE BUILD (threejs-game-director): livery aircraft w/ animated control surfaces + prop blur, real flight model (stall/ground effect/graded landings), canvas runway + PAPI + windsock airport, glass-cockpit strip (IAS/ALT tapes, horizon, heading), auto-demo. Eyeball-gate passed.
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
Claude Opus 5
Strengths
- Frontier-class coding + agentic reasoning (Claude 5 family)
- 1M-token context — reads an entire codebase in one call
- Benched here with skill-infused game prompts the day of release
Trade-offs
- Premium pricing ($5/$25 per M) — route the everyday 90% to cheaper lanes
- Reasoning-by-default eats token budgets unless tuned per call
Pricing & context — the spec sheet
| Spec | Fusion | Claude Opus 5 |
|---|---|---|
| Vendor | OpenRouter | Anthropic |
| Context window | Varies — depends on which panel models are dispatched | 1,000,000 tokens |
| Price | OpenRouter Fusion API pricing | $5 / $25 per M |
| Pricing detail | 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. | Anthropic's brand-new flagship — the first Opus of the Claude 5 family, with a 1M-token context window. Benched via API the day it dropped; game tasks use our skill-infused AAA build prompts. |
| Release | 2026-06-14 | 2026-07 |
| Bench coverage | 47/47 scored · avg 8.59/10 | 13/22 scored · avg 5.60/10 |
The verdict — which should you pick?
Across 13 scored shared tasks, Fusion averaged 8.81/10, beating Claude Opus 5's 5.60/10 by 3.21 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 Claude Opus 5 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, hardest agentic builds → Claude Opus 5. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.
FAQ — Fusion vs Claude Opus 5
Which is better, Fusion or Claude Opus 5?
On Goldie Bench, Fusion averages 8.81/10 across the shared tasks, with 22 gold, 2 silver, 6 bronze overall. Claude Opus 5 averages 5.60/10, with 0 gold, 0 silver, 1 bronze. Fusion wins the head-to-head 13–0.
How much does Fusion cost vs Claude Opus 5?
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. Claude Opus 5: Anthropic's brand-new flagship — the first Opus of the Claude 5 family, with a 1M-token context window. Benched via API the day it dropped; game tasks use our skill-infused AAA build prompts.
What's the context window for Fusion vs Claude Opus 5?
Fusion has a Varies — depends on which panel models are dispatched context window. Claude Opus 5 has a 1,000,000 tokens context window.
When should I pick Fusion over Claude Opus 5?
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 Claude Opus 5 over Fusion?
Pick Claude Opus 5 for: Hardest agentic builds; Whole-repo reasoning; Frontier one-shots. The trade-off is the weaknesses we logged on the bench: Premium pricing ($5/$25 per M) — route the everyday 90% to cheaper lanes; Reasoning-by-default eats token budgets unless tuned per call.
How does Goldie Bench score Fusion vs Claude Opus 5?
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:
Fusion vs Hermes MoA Claude Opus 5 vs Hermes MoA Fusion vs GPT-5.6 Sol Claude Opus 5 vs GPT-5.6 Sol Fusion vs Claude Fable 5 Claude Opus 5 vs Claude Fable 5 Fusion vs Qwen 3.8 Claude Opus 5 vs Qwen 3.8Full model pages: Fusion · Claude Opus 5 · 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.



































