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

Opus 4.8 vs Kimi K2.7

The reasoning king — deepest thinking, premium price. vs The heavy lifter — frontier coder at flat-rate.

Head-to-head verdict: Opus 4.8 wins 12–6 with 7 ties.

Opus 4.8 · context200K tokens
Kimi K2.7 · context256K tokens
Opus 4.8 · price$15 / $75 per M tokens
Kimi K2.7 · priceFlat plan (no per-token bill)
Opus 4.8 · vendorAnthropic
Kimi K2.7 · 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, 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 · Wired into the Agent OS as the heavy-lifter for game/sim prototypes and Kanban-dispatched code work. Mode toggled per task: Quality for one-shot games, Fast for short bursts.

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

Where Opus 4.8 beat Kimi K2.7

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.

Blackhole Sim
Opus 4.8 9.0 · Kimi K2.7 6.0 (+3.0) · winner · hit the brief

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…

Orbit Sim
Opus 4.8 9.0 · Kimi K2.7 6.0 (+3.0) · 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.

Landing Page
Opus 4.8 9.0 · Kimi K2.7 6.5 (+2.5) · tie · top

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.

Voxel Visual
Opus 4.8 8.5 · Kimi K2.7 6.0 (+2.5)

What I saw: GLM built the densest, most detailed city — windowed skyscrapers, a speed + coins HUD. Opus ran the furthest with the cleanest motion (Score 303). Kimi's runner plays fine but is unforgiving — it crashes within seconds.

Fluid Sim
Opus 4.8 7.0 · Kimi K2.7 5.0 (+2.0)

What I saw: GLM filled the bowl with glowing liquid that actually sloshes — the most convincing 'liquid in a bowl'. Opus's particles glowed but clumped to the centre. Kimi's collapsed into a tiny blob.

Where Kimi K2.7 beat Opus 4.8

The tasks where I gave Kimi K2.7 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.

Webos Page
Kimi K2.7 8.0 · Opus 4.8 5.5 (+2.5)

What I saw: 30KB working desktop — wallpaper, dock, draggable windows.

Neonracer Game
Kimi K2.7 8.0 · Opus 4.8 7.0 (+1.0)

What I saw: Top-down neon racer with vapor trails + drift physics. 19KB clean implementation.

Kimi K2.7 8.5 · Opus 4.8 7.5 (+1.0)

What I saw: 64KB open-world RPG with village, NPCs, combat, day/night cycle. Densest Kimi build.

Fractal Sim
Kimi K2.7 9.0 · Opus 4.8 8.5 (+0.5) · winner · pure wow

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…

Kimi K2.7 7.5 · Opus 4.8 7.0 (+0.5)

What I saw: Particle sculptor with mouse gravity + preset modes.

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

Strengths

  • Best-of-three on interactive games — raycaster, DOOM, monster AI
  • Three speed modes (Fast / No-Think / Quality) you can swap per task
  • Flat-rate plan eliminates the per-token meter, so iteration is free

Trade-offs

  • Plays plainest on abstract visual prompts — synthwave grids, fluid sims, aurora — where GLM and Opus add more flair
  • Bronze average on the Goldie Bench bench despite the gold-medal games — its visual builds are accurate but understated

Pricing & context — the spec sheet

Spec Opus 4.8 Kimi K2.7
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.Available on Moonshot's flat-rate subscription plan — no per-token billing for individual builders. The plan covers all three speed modes (Fast, No-Think, Quality). Vendor: Moonshot AI (moonshot.ai), based in Beijing.
Release2026-052026-06
Bench coverage47/47 scored · avg 7.51/1025/47 scored · avg 7.46/10

The verdict — which should you pick?

Across 25 scored shared tasks, Opus 4.8 averaged 7.94/10, beating Kimi K2.7's 7.46/10 by 0.48 points. Pick Opus 4.8 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 Opus 4.8 and Kimi K2.7 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, interactive game prototypes you want shippable on the first prompt → Kimi K2.7. 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

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

On Goldie Bench, Opus 4.8 averages 7.94/10 across the shared tasks, with 3 gold, 1 silver, 1 bronze overall. Kimi K2.7 averages 7.46/10, with 1 gold, 2 silver, 0 bronze. Opus 4.8 wins the head-to-head 12–6.

How much does Opus 4.8 cost vs Kimi K2.7?

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: Available on Moonshot's flat-rate subscription plan — no per-token billing for individual builders. The plan covers all three speed modes (Fast, No-Think, Quality). Vendor: Moonshot AI (moonshot.ai), based in Beijing.

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

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

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

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 over Opus 4.8?

Pick Kimi K2.7 for: Interactive game prototypes you want shippable on the first prompt; High-iteration agent loops where per-token cost would dominate; Long-context refactors using the 256K window inside Agent OS. The trade-off is the weaknesses we logged on the bench: Plays plainest on abstract visual prompts — synthwave grids, fluid sims, aurora — where GLM and Opus add more flair; Bronze average on the {{SITE_NAME}} bench despite the gold-medal games — its visual builds are accurate but understated.

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

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
258documented wins
38countries
$59/momonthly