
Real head-to-head · same prompt, one shot
Kimi K2.7 · No-Think vs Grok 4.5
Pure execution mode — no chain of thought. 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.
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 · No-Think 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 · No-Think · Reserved for templated transforms where the plan is already in the prompt — the model just executes.
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 = 🥉).
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Kimi K2.7 · No-Think
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Strengths & weaknesses I logged
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
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 · No-Think | Grok 4.5 |
|---|---|---|
| Vendor | Moonshot AI | xAI · Grok Build |
| Context window | 256,000 tokens | 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). |
| Price | Flat plan (no per-token bill) | $2 / 1M input · $6 / 1M output |
| Pricing detail | Same flat-rate plan as standard Kimi K2.7 — No-Think disables the chain-of-thought layer at runtime. 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. |
| Release | 2026-06 | 2026-07-08 |
| Bench coverage | 0/47 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 · No-Think and Grok 4.5 both into the Agent Operating System and dispatch each from the kanban by task type — templated transforms where the plan is in the prompt → Kimi K2.7 · No-Think, 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 · No-Think vs Grok 4.5
Which is better, Kimi K2.7 · No-Think or Grok 4.5?
On Goldie Bench, Kimi K2.7 · No-Think 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 · No-Think cost vs Grok 4.5?
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). 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 · No-Think vs Grok 4.5?
Kimi K2.7 · No-Think 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 · No-Think over Grok 4.5?
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.
When should I pick Grok 4.5 over Kimi K2.7 · No-Think?
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 · No-Think 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.
Related comparisons
Other head-to-heads using the same scoring system:
Kimi K2.7 · No-Think vs Fusion Grok 4.5 vs Fusion Kimi K2.7 · No-Think vs Hermes MoA Grok 4.5 vs Hermes MoA Kimi K2.7 · No-Think vs Claude Fable 5 Grok 4.5 vs Claude Fable 5 Kimi K2.7 · No-Think vs Grok (X real-time) Grok 4.5 vs Grok (X real-time)Full model pages: Kimi K2.7 · No-Think · Grok 4.5 · 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














































