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

Kimi K2.7 vs Grok

The heavy lifter — frontier coder at flat-rate. vs Snappy + real-time — the X-native model.

Kimi K2.7 · context256K tokens
Grok · context256K tokens
Kimi K2.7 · priceFlat plan (no per-token bill)
Grok · priceSubscription via X Premium
Kimi K2.7 · vendorMoonshot AI
Grok · vendorxAI

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 and Grok, side by side, on 11 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 · 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.

Grok · Used for real-time content workflows where the model needs current X timeline context. Standalone bench scoring pending.

Side-by-side on 25 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
Grok
Game
🥈Kimi K2.7 on Arcade
Grok on Arcade
Page
🥉Kimi K2.7 on Landing
Grok on Landing
Sim
🥉Kimi K2.7 on Blackhole
Grok on Blackhole
Sim
Kimi K2.7 on Boids
Grok on Boids
Sim
🥉Kimi K2.7 on Fluid
Grok on Fluid
Sim
🥇Kimi K2.7 on Fractal
Grok on Fractal
Sim
🥈Kimi K2.7 on Galaxy
Grok on Galaxy
Sim
🥉Kimi K2.7 on Orbit
Grok on Orbit
Visual
Kimi K2.7 on Lavalamp
Grok on Lavalamp
Visual
🥉Kimi K2.7 on Synthwave
Grok on Synthwave
Visual
🥉Kimi K2.7 on Voxel
Grok on Voxel
Game
— not attempted —
Grok on Crypt
Game
🥇Kimi K2.7 on Doom
— not attempted —
Game
🥉Kimi K2.7 on Neoncity
— not attempted —
Game
🥉Kimi K2.7 on Outrun
— not attempted —
Game
🥇Kimi K2.7 on Raycaster
— not attempted —
Game
— not attempted —
Grok on Skyrim
— not attempted —
Sim
🥉Kimi K2.7 on Solar
— not attempted —
Sim
Kimi K2.7 on Wormhole
— not attempted —
Visual
Kimi K2.7 on Aurora
— not attempted —
Visual
Kimi K2.7 on Fireworks
— not attempted —
Visual
Kimi K2.7 on Matrix
— not attempted —
Visual
Kimi K2.7 on Terrain
— not attempted —

Strengths & weaknesses I logged

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

Grok

Strengths

  • Real-time access to X timeline data — unique signal no other model has
  • Snappy latency on shorter prompts
  • 256K context window keeps pace with the open-weights field

Trade-offs

  • 13 demos on the bench but zero have curated 0–10 verdicts yet — currently unranked
  • API access is gated behind X Premium, awkward for backend agent loops

Pricing & context — the spec sheet

Spec Kimi K2.7 Grok
VendorMoonshot AIxAI
Context window256,000 tokens256,000 tokens
PriceFlat plan (no per-token bill)Subscription via X Premium
Pricing detailAvailable 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).Bundled with X (Twitter) Premium subscription — no per-token bill for end users, no individual API pricing for the chat product.
Release2026-062026-04
Bench coverage14/23 scored · avg 7.25/100/13 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 K2.7 and Grok both into the Agent Operating System and dispatch each from the kanban by task type — interactive game prototypes you want shippable on the first prompt → Kimi K2.7, workflows that need live x / twitter context → Grok. That's the same setup I run for the 3,600+ founders inside the AI Profit Boardroom.

FAQ — Kimi K2.7 vs Grok

Which is better, Kimi K2.7 or Grok?

On Goldie Bench, Kimi K2.7 averages no scored verdicts yet across the shared tasks, with 3 gold, 2 silver, 9 bronze overall. Grok 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 K2.7 cost vs Grok?

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). Grok: Bundled with X (Twitter) Premium subscription — no per-token bill for end users, no individual API pricing for the chat product.

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

Kimi K2.7 has a 256,000 tokens context window. Grok has a 256,000 tokens context window.

When should I pick Kimi K2.7 over Grok?

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.

When should I pick Grok over Kimi K2.7?

Pick Grok for: Workflows that need live X / Twitter context; Snappy prompts where latency matters; Researchers comparing X-native models against the rest of the field. The trade-off is the weaknesses we logged on the bench: 13 demos on the bench but zero have curated 0–10 verdicts yet — currently unranked; API access is gated behind X Premium, awkward for backend agent loops.

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

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:

Kimi K2.7 vs Opus 4.8 Grok vs Opus 4.8 Kimi K2.7 vs GLM-5.2 Grok vs GLM-5.2 Kimi K2.7 vs Qwen 3.7 Grok vs Qwen 3.7

Full model pages: Kimi K2.7 · Grok · 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 3,600+ founders shipping with it every day all live inside the AI Profit Boardroom.

3,600+founders
258documented wins
38countries
$100k+/mocommunity MRR