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

Kimi K2.7 · Fast vs Grok 4.5

Fast mode — top speed, minimal thinking. vs xAI's Grok 4.5 — the coding/agentic model, default in Grok Build. Tops SWE Marathon, ~4x more token-efficient than Opus 4.8, ~80 TPS.

Kimi K2.7 · Fast · context256K tokens
Grok 4.5 · context
Kimi K2.7 · Fast · priceFlat plan (no per-token bill)
Grok 4.5 · price$2 / 1M input · $6 / 1M output
Kimi K2.7 · Fast · vendorMoonshot AI
Grok 4.5 · vendorxAI · Grok Build

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 K2.7 · Fast and Grok 4.5, side by side, on 46 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 K2.7 · Fast · Wired into Agent OS as the snappy default — first-pass attempts, agent chatter, live demos.

Grok 4.5 · Benched one-shot on the same GoldieBench game prompts as the field, with the threejs-game-director patterns baked into each prompt; weak builds iterated by Grok 4.5 itself (the model authors every fix, never hand-patched). Wired into the Agent OS as the newest engine.

Side-by-side on 49 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 K2.7 · Fast
Grok 4.5
Game
Kimi K2.7 · Fast on Arcade
🥈Grok 4.5 on Arcade
Game
Kimi K2.7 · Fast on Crypt
🥈Grok 4.5 on Crypt
Game
Kimi K2.7 · Fast on Dogfight
🥈Grok 4.5 on Dogfight
Kimi K2.7 · Fast on Dragonflight
🥈Grok 4.5 on Dragonflight
Kimi K2.7 · Fast on Dragonrealm
🥇Grok 4.5 on Dragonrealm
Game
Kimi K2.7 · Fast on Flightsim
🥈Grok 4.5 on Flightsim
Game
Kimi K2.7 · Fast on Game
🥈Grok 4.5 on Game
Game
Kimi K2.7 · Fast on Gtadrive
🥈Grok 4.5 on Gtadrive
Game
Kimi K2.7 · Fast on Gtafoot
🥉Grok 4.5 on Gtafoot
Kimi K2.7 · Fast on Neonblaster
🥈Grok 4.5 on Neonblaster
Game
Kimi K2.7 · Fast on Neoncity
🥇Grok 4.5 on Neoncity
Game
Kimi K2.7 · Fast on Neonracer
🥈Grok 4.5 on Neonracer
Kimi K2.7 · Fast on Nordiccrypt
🥈Grok 4.5 on Nordiccrypt
Game
Kimi K2.7 · Fast on Outrun
🥇Grok 4.5 on Outrun
Game
Kimi K2.7 · Fast on Parachute
🥈Grok 4.5 on Parachute
Game
Kimi K2.7 · Fast on Pool
🥈Grok 4.5 on Pool
Game
Kimi K2.7 · Fast on Racing
🥈Grok 4.5 on Racing
Game
Kimi K2.7 · Fast on Raycaster
🥈Grok 4.5 on Raycaster
Game
Kimi K2.7 · Fast on Rpg
🥈Grok 4.5 on Rpg
Game
Kimi K2.7 · Fast on Skyrim
🥈Grok 4.5 on Skyrim
Kimi K2.7 · Fast on Twilightvale
🥈Grok 4.5 on Twilightvale
Game
Kimi K2.7 · Fast on Voxelcraft
🥈Grok 4.5 on Voxelcraft
Page
Kimi K2.7 · Fast on Aipbpromo
🥈Grok 4.5 on Aipbpromo
Page
Kimi K2.7 · Fast on Landing
🥈Grok 4.5 on Landing

Strengths & weaknesses I logged

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

Grok 4.5

Strengths

  • SWE Marathon resolution #1: 29.0% (Opus 4.8 26.0, Fable 24.0)
  • ~4.2x more token-efficient than Opus 4.8 on SWE-Bench Pro (15,954 vs 67,020 avg output tokens); ~80 TPS
  • Strong one-shot game builds: gorgeous multi-part heroes + layered worlds + cohesive HUDs first try (dragonrealm, crypt, skyrim)

Trade-offs

  • Raycaster/FPS (doom) under-renders + walks out of bounds one-shot; needed multiple self-fix passes
  • Occasional TDZ/init bug blanks a build to black (racing) — recovered by the model itself in one pass
  • Not available in the EU until mid-July 2026

Pricing & context — the spec sheet

Spec Kimi K2.7 · Fast Grok 4.5
VendorMoonshot AIxAI · Grok Build
Context window256,000 tokensxAI's smartest model, built for coding + agentic tasks; trained alongside Cursor. Default model in Grok Build. Benched here via OpenRouter (x-ai/grok-4.5).
PriceFlat plan (no per-token bill)$2 / 1M input · $6 / 1M output
Pricing detailSame flat-rate plan as standard Kimi K2.7 — Fast mode is a runtime toggle, not a separate model. Vendor: Moonshot AI (moonshot.ai).~4.2x fewer output tokens than Opus 4.8 on SWE-Bench Pro (15,954 vs 67,020 avg) and served at ~80 TPS, so real cost/latency is well below the sticker. Free for a limited time in Grok Build + Cursor.
Release2026-062026-07-08
Bench coverage0/47 scored · avg —48/50 scored · avg 7.60/10

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 K2.7 · Fast and Grok 4.5 both into the Agent Operating System and dispatch each from the kanban by task type — snappy iteration inside agent loops → Kimi K2.7 · Fast, one-shot end-to-end app + game builds from a single prompt → Grok 4.5. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Kimi K2.7 · Fast vs Grok 4.5

Which is better, Kimi K2.7 · Fast or Grok 4.5?

On Goldie Bench, Kimi K2.7 · Fast averages no scored verdicts yet across the shared tasks, with 0 gold, 0 silver, 0 bronze overall. Grok 4.5 averages no scored verdicts yet, with 12 gold, 34 silver, 2 bronze. Not enough scored shared tasks yet to call a winner.

How much does Kimi K2.7 · Fast cost vs Grok 4.5?

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). Grok 4.5: ~4.2x fewer output tokens than Opus 4.8 on SWE-Bench Pro (15,954 vs 67,020 avg) and served at ~80 TPS, so real cost/latency is well below the sticker. Free for a limited time in Grok Build + Cursor.

What's the context window for Kimi K2.7 · Fast vs Grok 4.5?

Kimi K2.7 · Fast has a 256,000 tokens context window. Grok 4.5 has a xAI's smartest model, built for coding + agentic tasks; trained alongside Cursor. Default model in Grok Build. Benched here via OpenRouter (x-ai/grok-4.5). context window.

When should I pick Kimi K2.7 · Fast over Grok 4.5?

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.

When should I pick Grok 4.5 over Kimi K2.7 · Fast?

Pick Grok 4.5 for: One-shot end-to-end app + game builds from a single prompt; Cost/latency-sensitive agentic coding loops (token-efficient + fast); Office-work automation (Excel/PowerPoint/Word via Grok Build). The trade-off is the weaknesses we logged on the bench: Raycaster/FPS (doom) under-renders + walks out of bounds one-shot; needed multiple self-fix passes; Occasional TDZ/init bug blanks a build to black (racing) — recovered by the model itself in one pass; Not available in the EU until mid-July 2026.

How does Goldie Bench score Kimi K2.7 · Fast vs Grok 4.5?

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