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

Opus 4.8 vs Kimi K2.7 · Fast

The reasoning king — deepest thinking, premium price. vs Fast mode — top speed, minimal thinking.

Opus 4.8 · context200K tokens
Kimi K2.7 · Fast · context256K tokens
Opus 4.8 · price$15 / $75 per M tokens
Kimi K2.7 · Fast · priceFlat plan (no per-token bill)
Opus 4.8 · vendorAnthropic
Kimi K2.7 · Fast · 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 Opus 4.8 and Kimi K2.7 · Fast, 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.

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.

Kimi K2.7 · Fast · Wired into Agent OS as the snappy default — first-pass attempts, agent chatter, live demos.

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 ↓
Opus 4.8
Kimi K2.7 · Fast
Game
🥉Opus 4.8 on Arcade
Kimi K2.7 · Fast on Arcade
Game
Opus 4.8 on Crypt
Kimi K2.7 · Fast on Crypt
Game
Opus 4.8 on Dogfight
Kimi K2.7 · Fast on Dogfight
Game
🥈Opus 4.8 on Doom
Kimi K2.7 · Fast on Doom
Opus 4.8 on Dragonflight
Kimi K2.7 · Fast on Dragonflight
Opus 4.8 on Dragonrealm
Kimi K2.7 · Fast on Dragonrealm
Game
Opus 4.8 on Flightsim
Kimi K2.7 · Fast on Flightsim
Game
Opus 4.8 on Game
Kimi K2.7 · Fast on Game
Game
Opus 4.8 on Gtadrive
Kimi K2.7 · Fast on Gtadrive
Game
Opus 4.8 on Gtafoot
Kimi K2.7 · Fast on Gtafoot
Opus 4.8 on Neonblaster
Kimi K2.7 · Fast on Neonblaster
Game
Opus 4.8 on Neoncity
Kimi K2.7 · Fast on Neoncity
Game
Opus 4.8 on Neonracer
Kimi K2.7 · Fast on Neonracer
Opus 4.8 on Nordiccrypt
Kimi K2.7 · Fast on Nordiccrypt
Game
Opus 4.8 on Outrun
Kimi K2.7 · Fast on Outrun
Game
Opus 4.8 on Parachute
Kimi K2.7 · Fast on Parachute
Game
Opus 4.8 on Pool
Kimi K2.7 · Fast on Pool
Game
Opus 4.8 on Racing
Kimi K2.7 · Fast on Racing
Game
Opus 4.8 on Raycaster
Kimi K2.7 · Fast on Raycaster
Game
Opus 4.8 on Rpg
Kimi K2.7 · Fast on Rpg
Game
Opus 4.8 on Skyrim
Kimi K2.7 · Fast on Skyrim
Opus 4.8 on Twilightvale
Kimi K2.7 · Fast on Twilightvale
Game
Opus 4.8 on Voxelcraft
Kimi K2.7 · Fast on Voxelcraft
Page
Opus 4.8 on Aipbpromo
Kimi K2.7 · Fast on Aipbpromo

Strengths & weaknesses I logged

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

Kimi K2.7 · Fast

Strengths

  • Lowest latency of the three Kimi modes for short builds
  • Same 256K context as Quality mode
  • Best when you need agent-loop responsiveness over polish

Trade-offs

  • Skips deeper reasoning passes — bronze-tier on tasks needing planning
  • Julian explicitly does not assign scores to Kimi modes on the standalone bench

Pricing & context — the spec sheet

Spec Opus 4.8 Kimi K2.7 · Fast
VendorAnthropicMoonshot AI
Context window200,000 tokens (1M with extended thinking)256,000 tokens
Price$15 / $75 per M tokensFlat plan (no per-token bill)
Pricing detailPremium pricing via the Anthropic API: $15 per million input tokens, $75 per million output tokens. Extended thinking is included but adds latency.Same flat-rate plan as standard Kimi K2.7 — Fast mode is a runtime toggle, not a separate model. Vendor: Moonshot AI (moonshot.ai).
Release2026-052026-06
Bench coverage47/47 scored · avg 7.51/100/47 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 Opus 4.8 and Kimi K2.7 · Fast both into the Agent Operating System and dispatch each from the kanban by task type — mission-critical one-shot builds where 'has to work the first time' matters → Opus 4.8, snappy iteration inside agent loops → Kimi K2.7 · Fast. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Opus 4.8 vs Kimi K2.7 · Fast

Which is better, Opus 4.8 or Kimi K2.7 · Fast?

On Goldie Bench, Opus 4.8 averages no scored verdicts yet across the shared tasks, with 3 gold, 1 silver, 1 bronze overall. Kimi K2.7 · Fast 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 Opus 4.8 cost vs Kimi K2.7 · Fast?

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. Kimi K2.7 · Fast: Same flat-rate plan as standard Kimi K2.7 — Fast mode is a runtime toggle, not a separate model. Vendor: Moonshot AI (moonshot.ai).

What's the context window for Opus 4.8 vs Kimi K2.7 · Fast?

Opus 4.8 has a 200,000 tokens (1M with extended thinking) context window. Kimi K2.7 · Fast has a 256,000 tokens context window.

When should I pick Opus 4.8 over Kimi K2.7 · Fast?

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.

When should I pick Kimi K2.7 · Fast over Opus 4.8?

Pick Kimi K2.7 · Fast for: Snappy iteration inside agent loops; Short prompts where Quality mode would over-think; Live demos where latency matters more than the last 5% of polish. The trade-off is the weaknesses we logged on the bench: Skips deeper reasoning passes — bronze-tier on tasks needing planning; Julian explicitly does not assign scores to Kimi modes on the standalone bench.

How does Goldie Bench score Opus 4.8 vs Kimi K2.7 · Fast?

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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