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

Kimi K3 vs Kimi K2.7 · No-Think

Moonshot's 2.5T flagship — 1M context, tuned for long-horizon agent work. vs Pure execution mode — no chain of thought.

Kimi K3 · context1M tokens
Kimi K2.7 · No-Think · context256K tokens
Kimi K3 · price$3 / M in
Kimi K2.7 · No-Think · priceFlat plan (no per-token bill)
Kimi K3 · vendorMoonshot AI
Kimi K2.7 · No-Think · 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 Kimi K3 and Kimi K2.7 · No-Think, 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.

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.

Kimi K2.7 · No-Think · Reserved for templated transforms where the plan is already in the prompt — the model just executes.

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 ↓
Kimi K3
Kimi K2.7 · No-Think
Game
Kimi K3 on Arcade
Kimi K2.7 · No-Think on Arcade
Game
Kimi K3 on Crypt
Kimi K2.7 · No-Think on Crypt
Game
Kimi K3 on Dogfight
Kimi K2.7 · No-Think on Dogfight
Game
Kimi K3 on Doom
Kimi K2.7 · No-Think on Doom
Kimi K3 on Dragonflight
Kimi K2.7 · No-Think on Dragonflight
🥉Kimi K3 on Dragonrealm
Kimi K2.7 · No-Think on Dragonrealm
Game
Kimi K3 on Flightsim
Kimi K2.7 · No-Think on Flightsim
Game
Kimi K3 on Game
Kimi K2.7 · No-Think on Game
Game
Kimi K3 on Gtadrive
Kimi K2.7 · No-Think on Gtadrive
Game
Kimi K3 on Gtafoot
Kimi K2.7 · No-Think on Gtafoot
Kimi K3 on Neonblaster
Kimi K2.7 · No-Think on Neonblaster
Game
🥈Kimi K3 on Neoncity
Kimi K2.7 · No-Think on Neoncity
Game
🥇Kimi K3 on Neonracer
Kimi K2.7 · No-Think on Neonracer
Kimi K3 on Nordiccrypt
Kimi K2.7 · No-Think on Nordiccrypt
Game
🥉Kimi K3 on Outrun
Kimi K2.7 · No-Think on Outrun
Game
Kimi K3 on Parachute
Kimi K2.7 · No-Think on Parachute
Game
Kimi K3 on Pool
Kimi K2.7 · No-Think on Pool
Game
Kimi K3 on Racing
Kimi K2.7 · No-Think on Racing
Game
Kimi K3 on Raycaster
Kimi K2.7 · No-Think on Raycaster
Game
Kimi K3 on Rpg
Kimi K2.7 · No-Think on Rpg
Game
Kimi K3 on Skyrim
Kimi K2.7 · No-Think on Skyrim
Kimi K3 on Twilightvale
Kimi K2.7 · No-Think on Twilightvale
Game
🥉Kimi K3 on Voxelcraft
Kimi K2.7 · No-Think on Voxelcraft
Page
Kimi K3 on Aipbpromo
Kimi K2.7 · No-Think on Aipbpromo

Strengths & weaknesses I logged

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

Kimi K2.7 · No-Think

Strengths

  • Skips planning to ship straight to code
  • Useful when you've already done the reasoning in the prompt
  • Predictable latency for batched jobs

Trade-offs

  • Loses ground on multi-step tasks that benefit from planning
  • Not scored on the standalone bench — see methodology

Pricing & context — the spec sheet

Spec Kimi K3 Kimi K2.7 · No-Think
VendorMoonshot AIMoonshot AI
Context window1,048,576 tokens — a full codebase in working memory256,000 tokens
Price$3 / M inFlat plan (no per-token bill)
Pricing detailLaunched 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).Same flat-rate plan as standard Kimi K2.7 — No-Think disables the chain-of-thought layer at runtime. Vendor: Moonshot AI (moonshot.ai).
Release2026-07-162026-06
Bench coverage50/50 scored · avg 5.81/100/47 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 Kimi K3 and Kimi K2.7 · No-Think both into the Agent Operating System and dispatch each from the kanban by task type — long-horizon agent runs → Kimi K3, templated transforms where the plan is in the prompt → Kimi K2.7 · No-Think. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Kimi K3 vs Kimi K2.7 · No-Think

Which is better, Kimi K3 or Kimi K2.7 · No-Think?

On Goldie Bench, Kimi K3 averages no scored verdicts yet across the shared tasks, with 9 gold, 5 silver, 7 bronze overall. Kimi K2.7 · No-Think 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 Kimi K3 cost vs Kimi K2.7 · No-Think?

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). Kimi K2.7 · No-Think: Same flat-rate plan as standard Kimi K2.7 — No-Think disables the chain-of-thought layer at runtime. Vendor: Moonshot AI (moonshot.ai).

What's the context window for Kimi K3 vs Kimi K2.7 · No-Think?

Kimi K3 has a 1,048,576 tokens — a full codebase in working memory context window. Kimi K2.7 · No-Think has a 256,000 tokens context window.

When should I pick Kimi K3 over Kimi K2.7 · No-Think?

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.

When should I pick Kimi K2.7 · No-Think over Kimi K3?

Pick Kimi K2.7 · No-Think for: Templated transforms where the plan is in the prompt; Batched code generation jobs; Workflows where you want the model to stop second-guessing. The trade-off is the weaknesses we logged on the bench: Loses ground on multi-step tasks that benefit from planning; Not scored on the standalone bench — see methodology.

How does Goldie Bench score Kimi K3 vs Kimi K2.7 · No-Think?

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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