Real head-to-head · same prompt, one shot
Claude Opus 5 vs Kimi K2.7
The new Anthropic flagship — benched on all 45 one-shot builds the day it landed. vs The heavy lifter — frontier coder at flat-rate.
Head-to-head verdict: Claude Opus 5 wins 18–7.
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 Claude Opus 5 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.
Claude Opus 5 · Benched on all 45 GoldieBench tasks via API on release day, incremental deploys as scores landed.
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 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 = 🥉).
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Claude Opus 5
Kimi K2.7
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Where Claude Opus 5 beat Kimi K2.7
The tasks where I gave Claude Opus 5 a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
Fluid
Sim
Claude Opus 5 8.3
·
Kimi K2.7 5.0
(+3.3)
What I saw: Strong curl-noise flow with 20k additive particles forming coherent swirling filaments, clean gradient title and full control set (reset/palette/swirl, drag-to-stir). The screenshot reads slightly sparse/dark in the center rather than a dense fluid-like continuum, keeping it just…
Blackhole
Sim
Claude Opus 5 9.0
·
Kimi K2.7 6.0
(+3.0)
· ray-traced lensing
What I saw: Stunning Schwarzschild ray-traced lensing with a convincing event horizon, warped accretion disk arcing over/under the shadow, Doppler beaming, and a rich lensed starfield — plus a polished, functional control panel with quality/inclination/distance sliders. The only faint quibbl…
Orbit
Sim
Claude Opus 5 9.0
·
Kimi K2.7 6.0
(+3.0)
· 3D N-body simulation
What I saw: Gorgeous 3D N-body sim with a glowing central star, 167 orbiting bodies with velocity trails, merges counter (12), tilted disks and companion cluster — genuine physics with softening, substeps, and merging, plus a polished camera/UI. Strong: visible dynamic simulation and beautif…
Synthwave
Visual
Claude Opus 5 8.7
·
Kimi K2.7 6.5
(+2.2)
· Inferno sunset dream
What I saw: Gorgeous atmospheric synthwave with a striped banded sun, wireframe mountain ridges, receding neon poles, starfield and interactive palettes/speed — the Inferno palette here glows beautifully. Only nitpick is the perspective grid gets washed out into the sun glare, but this clear…
Voxel
Visual
Claude Opus 5 8.2
·
Kimi K2.7 6.0
(+2.2)
What I saw: Strong voxel island with lush layered trees, sand beaches, tinted water and floating clouds/birds plus polished UI and controls; weakened by the harsh flat-orange sky fill that reads as a solid background rather than a sunset gradient, and the terrain is quite flat/small with no …
Where Kimi K2.7 beat Claude Opus 5
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.
Doom
Game
Kimi K2.7 8.5
·
Claude Opus 5 6.8
(+1.7)
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…
Arcade
Game
Kimi K2.7 8.0
·
Claude Opus 5 6.5
(+1.5)
What I saw: All three shipped a genuinely juicy game. Opus's breakout had the most game-feel — particle bursts and a live combo. Kimi's breakout was clean and solid. GLM went its own way with fullscreen neon asteroids. The closest of the practical five.
Twilightvale
Game
Kimi K2.7 8.5
·
Claude Opus 5 7.3
(+1.2)
What I saw: 64KB open-world RPG with village, NPCs, combat, day/night cycle. Densest Kimi build.
Neonblaster
Game
Kimi K2.7 7.5
·
Claude Opus 5 6.8
(+0.7)
What I saw: Neon space shooter — waves, particles, score HUD. Solid arcade build at 25KB.
Raycaster
Game
Kimi K2.7 8.5
·
Claude Opus 5 7.8
(+0.7)
· winner · cleanest
What I saw: Kimi nailed it — brick walls, a checkered floor, a clean minimap, textbook Wolfenstein, runs clean out of the box. Opus's is close and more atmospheric: warm fog and a vignette down a stone corridor (A/D to turn, W/S to move). GLM's engine is genuinely good — brick and mossy-ston…
Strengths & weaknesses I logged
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
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 | Claude Opus 5 | Kimi K2.7 |
|---|---|---|
| Vendor | Anthropic | Moonshot AI |
| Context window | 1,000,000 tokens | 256,000 tokens |
| Price | $5 / $25 per M | Flat plan (no per-token bill) |
| Pricing detail | 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. | 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. |
| Release | 2026-07 | 2026-06 |
| Bench coverage | 50/50 scored · avg 8.27/10 | 25/47 scored · avg 7.46/10 |
The verdict — which should you pick?
Across 25 scored shared tasks, Claude Opus 5 averaged 8.23/10, beating Kimi K2.7's 7.46/10 by 0.77 points. Pick Claude Opus 5 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 Claude Opus 5 and Kimi K2.7 both into the Agent Operating System and dispatch each from the kanban by task type — hardest agentic builds → Claude Opus 5, 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 — Claude Opus 5 vs Kimi K2.7
Which is better, Claude Opus 5 or Kimi K2.7?
On Goldie Bench, Claude Opus 5 averages 8.23/10 across the shared tasks, with 13 gold, 7 silver, 5 bronze overall. Kimi K2.7 averages 7.46/10, with 1 gold, 2 silver, 0 bronze. Claude Opus 5 wins the head-to-head 18–7.
How much does Claude Opus 5 cost vs Kimi K2.7?
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. 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 Claude Opus 5 vs Kimi K2.7?
Claude Opus 5 has a 1,000,000 tokens context window. Kimi K2.7 has a 256,000 tokens context window.
When should I pick Claude Opus 5 over Kimi K2.7?
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.
When should I pick Kimi K2.7 over Claude Opus 5?
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 Claude Opus 5 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.
Related comparisons
Other head-to-heads using the same scoring system:
Claude Opus 5 vs Fusion Kimi K2.7 vs Fusion Claude Opus 5 vs Hermes MoA Kimi K2.7 vs Hermes MoA Claude Opus 5 vs GPT-5.6 Sol Kimi K2.7 vs GPT-5.6 Sol Claude Opus 5 vs Claude Fable 5 Kimi K2.7 vs Claude Fable 5Full model pages: Claude Opus 5 · Kimi K2.7 · back to the leaderboard
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