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

Fusion vs Kimi K2.7 · Quality

Multi-model panel — Fable 5 + GPT-5.5, ensembled. Beats Fable 5 at half the price. vs Quality mode — deepest thinking, best output.

Fusion · contextVaries (per-panel)
Kimi K2.7 · Quality · context256K tokens
Fusion · priceOpenRouter Fusion API pricing
Kimi K2.7 · Quality · priceFlat plan (no per-token bill)
Fusion · vendorOpenRouter
Kimi K2.7 · Quality · vendorMoonshot AI

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 Kimi K2.7 · Quality, 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.

Kimi K2.7 · Quality · Reserved for one-shot builds where the output is the deliverable — polish over speed.

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
Kimi K2.7 · Quality
Game
🥉Fusion on Arcade
Kimi K2.7 · Quality on Arcade
Game
🥇Fusion on Crypt
Kimi K2.7 · Quality on Crypt
Game
🥇Fusion on Dogfight
Kimi K2.7 · Quality on Dogfight
Game
🥈Fusion on Doom
Kimi K2.7 · Quality on Doom
🥇Fusion on Dragonflight
Kimi K2.7 · Quality on Dragonflight
🥇Fusion on Dragonrealm
Kimi K2.7 · Quality on Dragonrealm
Game
🥇Fusion on Flightsim
Kimi K2.7 · Quality on Flightsim
Game
🥇Fusion on Game
Kimi K2.7 · Quality on Game
Game
🥇Fusion on Gtadrive
Kimi K2.7 · Quality on Gtadrive
Game
🥇Fusion on Gtafoot
Kimi K2.7 · Quality on Gtafoot
🥇Fusion on Neonblaster
Kimi K2.7 · Quality on Neonblaster
Game
Fusion on Neoncity
Kimi K2.7 · Quality on Neoncity
Game
Fusion on Neonracer
Kimi K2.7 · Quality on Neonracer
🥇Fusion on Nordiccrypt
Kimi K2.7 · Quality on Nordiccrypt
Game
Fusion on Outrun
Kimi K2.7 · Quality on Outrun
Game
🥇Fusion on Parachute
Kimi K2.7 · Quality on Parachute
Game
Fusion on Pool
Kimi K2.7 · Quality on Pool
Game
🥇Fusion on Racing
Kimi K2.7 · Quality on Racing
Game
🥈Fusion on Raycaster
Kimi K2.7 · Quality on Raycaster
Game
Fusion on Rpg
Kimi K2.7 · Quality on Rpg
Game
🥇Fusion on Skyrim
Kimi K2.7 · Quality on Skyrim
🥇Fusion on Twilightvale
Kimi K2.7 · Quality on Twilightvale
Game
🥇Fusion on Voxelcraft
Kimi K2.7 · Quality on Voxelcraft
Page
Fusion on Aipbpromo
Kimi K2.7 · Quality on Aipbpromo

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

Kimi K2.7 · Quality

Strengths

  • Highest-effort reasoning path of the three Kimi modes
  • Hand-tuned output polish on creative tasks
  • Same flat-rate plan as Fast and No-Think — no premium

Trade-offs

  • Slower than Fast and No-Think — not for snappy loops
  • Not scored on the standalone bench — see methodology

Pricing & context — the spec sheet

Spec Fusion Kimi K2.7 · Quality
VendorOpenRouterMoonshot AI
Context windowVaries — depends on which panel models are dispatched256,000 tokens
PriceOpenRouter Fusion API pricingFlat plan (no per-token bill)
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.Same flat-rate plan as standard Kimi K2.7 — Quality mode runs the deepest reasoning path. Vendor: Moonshot AI (moonshot.ai).
Release2026-06-142026-06
Bench coverage47/47 scored · avg 8.59/100/47 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 Fusion and Kimi K2.7 · Quality 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, one-shot games and sims where polish matters → Kimi K2.7 · Quality. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Fusion vs Kimi K2.7 · Quality

Which is better, Fusion or Kimi K2.7 · Quality?

On Goldie Bench, Fusion averages no scored verdicts yet across the shared tasks, with 21 gold, 3 silver, 3 bronze overall. Kimi K2.7 · Quality 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 Fusion cost vs Kimi K2.7 · Quality?

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. Kimi K2.7 · Quality: Same flat-rate plan as standard Kimi K2.7 — Quality mode runs the deepest reasoning path. Vendor: Moonshot AI (moonshot.ai).

What's the context window for Fusion vs Kimi K2.7 · Quality?

Fusion has a Varies — depends on which panel models are dispatched context window. Kimi K2.7 · Quality has a 256,000 tokens context window.

When should I pick Fusion over Kimi K2.7 · Quality?

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 Kimi K2.7 · Quality over Fusion?

Pick Kimi K2.7 · Quality for: One-shot games and sims where polish matters; Creative writing where you want the model to slow down; Final-pass refinement of an earlier draft. The trade-off is the weaknesses we logged on the bench: Slower than Fast and No-Think — not for snappy loops; Not scored on the standalone bench — see methodology.

How does Goldie Bench score Fusion vs Kimi K2.7 · Quality?

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.

4,000+founders
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