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

Opus 4.8 vs Kimi K3

The reasoning king — deepest thinking, premium price. vs Moonshot's 2.5T flagship — 1M context, tuned for long-horizon agent work.

Head-to-head verdict: Opus 4.8 wins 24–22 with 1 tie.

Opus 4.8 · context200K tokens
Kimi K3 · context1M tokens
Opus 4.8 · price$15 / $75 per M tokens
Kimi K3 · price$3 / M in
Opus 4.8 · vendorAnthropic
Kimi K3 · 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 K3, 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 K3 · Wired into the Agent OS as the `kimi-k3` Hermes profile and a K3 speed-toggle in the Kimi Code tab — used for long unattended agent runs where a slow-but-right model beats a fast-but-forgetful one.

Side-by-side on 50 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 K3
Game
🥉Opus 4.8 on Arcade
Kimi K3 on Arcade
Game
Opus 4.8 on Crypt
Kimi K3 on Crypt
Game
Opus 4.8 on Dogfight
Kimi K3 on Dogfight
Game
🥈Opus 4.8 on Doom
Kimi K3 on Doom
Opus 4.8 on Dragonflight
Kimi K3 on Dragonflight
Opus 4.8 on Dragonrealm
🥉Kimi K3 on Dragonrealm
Game
🥉Opus 4.8 on Flightsim
Kimi K3 on Flightsim
Game
Opus 4.8 on Game
Kimi K3 on Game
Game
🥉Opus 4.8 on Gtadrive
Kimi K3 on Gtadrive
Game
Opus 4.8 on Gtafoot
Kimi K3 on Gtafoot
Opus 4.8 on Neonblaster
Kimi K3 on Neonblaster
Game
Opus 4.8 on Neoncity
🥈Kimi K3 on Neoncity
Game
Opus 4.8 on Neonracer
🥇Kimi K3 on Neonracer
Opus 4.8 on Nordiccrypt
Kimi K3 on Nordiccrypt
Game
Opus 4.8 on Outrun
🥉Kimi K3 on Outrun
Game
🥉Opus 4.8 on Parachute
Kimi K3 on Parachute
Game
Opus 4.8 on Pool
Kimi K3 on Pool
Game
Opus 4.8 on Racing
Kimi K3 on Racing
Game
Opus 4.8 on Raycaster
Kimi K3 on Raycaster
Game
Opus 4.8 on Rpg
Kimi K3 on Rpg
Game
Opus 4.8 on Skyrim
Kimi K3 on Skyrim
Opus 4.8 on Twilightvale
Kimi K3 on Twilightvale
Game
Opus 4.8 on Voxelcraft
🥉Kimi K3 on Voxelcraft
Page
Opus 4.8 on Aipbpromo
Kimi K3 on Aipbpromo

Where Opus 4.8 beat Kimi K3

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 · Kimi K3 1.0 (+8.0) · 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.

Doom Game
Opus 4.8 8.5 · Kimi K3 1.0 (+7.5) · winner · game-feel

What I saw: All three are real, playable shooters. Opus drops you in a corridor with an imp dead ahead — gun, crosshair and HUD framed like a screenshot. Kimi matches it: a monster down a textured hall, health, ammo, minimap. GLM ships a gorgeous 'HAZARD PROTOCOL' title screen with a working…

Voxel Visual
Opus 4.8 8.5 · Kimi K3 1.0 (+7.5)

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.

Flightsim Game
Opus 4.8 8.0 · Kimi K3 1.0 (+7.0)

What I saw: 27KB · plays clean · three, webgl

Gtadrive Game
Opus 4.8 8.0 · Kimi K3 1.0 (+7.0)

What I saw: 22KB · plays clean · three, webgl (re-rolled)

Where Kimi K3 beat Opus 4.8

The tasks where I gave Kimi K3 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.

Webos Page
Kimi K3 8.6 · Opus 4.8 5.5 (+3.1) · polished nebula desktop

What I saw: Strong, highly polished render: crisp macOS-style traffic-light windows, blurred glass dock with running dots, desktop icons, animated 3D wireframe backdrop and starfield, plus a clean welcome/about card — clearly on-brief with Notes/Paint/Terminal. Source confirms real window ma…

Aurora Visual
Kimi K3 8.7 · Opus 4.8 6.0 (+2.7) · volumetric 3D aurora

What I saw: Gorgeous flowing volumetric aurora ribbons with convincing fbm noise, layered mountains, spruce silhouettes, moon, stars and a shooting star make a genuinely atmospheric scene; the elegant typography, palette switcher and vignette give it a shippable polish that edges past the fi…

Fluid Sim
Kimi K3 9.0 · Opus 4.8 7.0 (+2.0)

What I saw: Gorgeous, textbook-quality WebGL fluid sim with rich swirling dye, added particle sparkle, and polished UI (gradient title, hint pill, control buttons) — the vorticity/pressure-solve pipeline and half-float fallback handling are all correct and shippable; only minor knock is the …

Fireworks Visual
Kimi K3 8.8 · Opus 4.8 7.0 (+1.8) · varied burst types

What I saw: Gorgeous rendered scene with a detailed city skyline, moon, stars, and a rich variety of firework shapes (rings, willows, flowers, hearts, chrysanthemums) all glowing convincingly; the polished HUD and multiple simultaneous bursts make it a task winner, with only slight visual no…

Boids Sim
Kimi K3 8.6 · Opus 4.8 7.0 (+1.6) · 3D flocking birds

What I saw: Renders a polished 3D boids sim with genuine emergent flocking clusters, colorful instanced birds with wings, a glowing repel/attract orb, dusk gradient sky and a clean control panel — strong visual and simulation depth that matches the top of the field. Minor weakness: 44fps at …

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 K3

Strengths

  • Launch-day benchmarks put it around the Fable/Sol tier, with Terminal Bench (agentic terminal-driving) the standout
  • 1M-token context verified on this bench's needle test: exact recall from 162k tokens of noise in 18s
  • One-shot builds run long but land complete — its first bench game (13.4 min of thinking, 30,880 tokens) playtested with zero JS errors
  • Included in the Kimi coding plan — frontier tier without a new bill

Trade-offs

  • Slow on hard tasks — early testers report up to ~35 minutes at max reasoning; this bench saw 13+ minute single builds
  • Launch-day rate limits on OpenRouter (429s) — the coding-plan endpoint was the reliable route
  • Self-reports as K2.7 if you ask it — verify the served model via the API response, not the model's word

Pricing & context — the spec sheet

Spec Opus 4.8 Kimi K3
VendorAnthropicMoonshot AI
Context window200,000 tokens (1M with extended thinking)1,048,576 tokens — a full codebase in working memory
Price$15 / $75 per M tokens$3 / M in
Pricing detailPremium pricing via the Anthropic API: $15 per million input tokens, $75 per million output tokens. Extended thinking is included but adds latency.Launched July 16, 2026. 2.5T-param MoE. $3/M input on OpenRouter at launch; included at no extra cost in the Kimi coding plan (`k3` on the coding endpoint).
Release2026-052026-07-16
Bench coverage47/47 scored · avg 7.51/1050/50 scored · avg 5.81/10

The verdict — which should you pick?

Across 47 scored shared tasks, Opus 4.8 averaged 7.51/10, beating Kimi K3's 5.81/10 by 1.70 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 K3 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, long-horizon agent runs → Kimi K3. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Opus 4.8 vs Kimi K3

Which is better, Opus 4.8 or Kimi K3?

On Goldie Bench, Opus 4.8 averages 7.51/10 across the shared tasks, with 3 gold, 1 silver, 5 bronze overall. Kimi K3 averages 5.81/10, with 9 gold, 5 silver, 7 bronze. Opus 4.8 wins the head-to-head 24–22.

How much does Opus 4.8 cost vs Kimi K3?

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 K3: Launched July 16, 2026. 2.5T-param MoE. $3/M input on OpenRouter at launch; included at no extra cost in the Kimi coding plan (`k3` on the coding endpoint).

What's the context window for Opus 4.8 vs Kimi K3?

Opus 4.8 has a 200,000 tokens (1M with extended thinking) context window. Kimi K3 has a 1,048,576 tokens — a full codebase in working memory context window.

When should I pick Opus 4.8 over Kimi K3?

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 K3 over Opus 4.8?

Pick Kimi K3 for: long-horizon agent runs; whole-repo context work; terminal-driving agents. The trade-off is the weaknesses we logged on the bench: Slow on hard tasks — early testers report up to ~35 minutes at max reasoning; this bench saw 13+ minute single builds; Launch-day rate limits on OpenRouter (429s) — the coding-plan endpoint was the reliable route; Self-reports as K2.7 if you ask it — verify the served model via the API response, not the model's word.

How does Goldie Bench score Opus 4.8 vs Kimi K3?

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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