
Real head-to-head · same prompt, one shot
Claude Opus 5 vs Kimi K2.7 · Fast
The new Anthropic flagship — benched on all 45 one-shot builds the day it landed. vs Fast mode — top speed, minimal thinking.
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 · Fast, side by side, on 22 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 · 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 ↓
Claude Opus 5
Kimi K2.7 · Fast
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— not attempted —
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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 · 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 | Claude Opus 5 | Kimi K2.7 · Fast |
|---|---|---|
| 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. | Same flat-rate plan as standard Kimi K2.7 — Fast mode is a runtime toggle, not a separate model. Vendor: Moonshot AI (moonshot.ai). |
| Release | 2026-07 | 2026-06 |
| Bench coverage | 13/22 scored · avg 5.60/10 | 0/47 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 Claude Opus 5 and Kimi K2.7 · Fast both into the Agent Operating System and dispatch each from the kanban by task type — hardest agentic builds → Claude Opus 5, 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 — Claude Opus 5 vs Kimi K2.7 · Fast
Which is better, Claude Opus 5 or Kimi K2.7 · Fast?
On Goldie Bench, Claude Opus 5 averages no scored verdicts yet across the shared tasks, with 0 gold, 0 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 Claude Opus 5 cost vs Kimi K2.7 · Fast?
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 · 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 Claude Opus 5 vs Kimi K2.7 · Fast?
Claude Opus 5 has a 1,000,000 tokens context window. Kimi K2.7 · Fast has a 256,000 tokens context window.
When should I pick Claude Opus 5 over Kimi K2.7 · Fast?
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 · Fast over Claude Opus 5?
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 Claude Opus 5 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.
Related comparisons
Other head-to-heads using the same scoring system:
Claude Opus 5 vs Fusion Kimi K2.7 · Fast vs Fusion Claude Opus 5 vs Hermes MoA Kimi K2.7 · Fast vs Hermes MoA Claude Opus 5 vs GPT-5.6 Sol Kimi K2.7 · Fast vs GPT-5.6 Sol Claude Opus 5 vs Claude Fable 5 Kimi K2.7 · Fast vs Claude Fable 5Full model pages: Claude Opus 5 · Kimi K2.7 · Fast · 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



































