Gemma-4 12B Coder vs Kimi K2.7 · Quality

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 Gemma-4 12B Coder and Kimi K2.7 · Quality, side by side, on 2 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.

Gemma-4 12B Coder · Wired into the Agent OS local engine (Local chat + Local Hermes Engine + Agent Kanban) as the free, offline coder. Scored by Claude judge against the same one-shot prompts every other model ran.

Kimi K2.7 · Quality · Reserved for one-shot builds where the output is the deliverable — polish over speed.

Strengths & weaknesses I logged

Pricing & context — the spec sheet

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 Gemma-4 12B Coder and Kimi K2.7 · Quality both into the Agent Operating System and dispatch each from the kanban by task type — free, private, offline coding where nothing can leave your machine → Gemma-4 12B Coder, one-shot games and sims where polish matters → Kimi K2.7 · Quality. That's the same setup I run for the 3,600+ founders inside the AI Profit Boardroom.

FAQ — Gemma-4 12B Coder vs Kimi K2.7 · Quality

Which is better, Gemma-4 12B Coder or Kimi K2.7 · Quality?

On Goldie Bench, Gemma-4 12B Coder averages no scored verdicts yet across the shared tasks, with 0 gold, 0 silver, 0 bronze overall. Kimi K2.7 · Quality 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 Gemma-4 12B Coder cost vs Kimi K2.7 · Quality?

Gemma-4 12B Coder: A community fine-tune of Google's Gemma-4 12B (xentriom/gemma-4-12B-coder-fable5-composer2.5-v1), Apache-2.0. Free to download and run 100% offline on your own Mac via Ollama — no API, no per-token bill. The Q4_K_M build is 7.4GB. Kimi K2.7 · Quality: Same flat-rate plan as standard Kimi K2.7 — Quality mode runs the deepest reasoning path.

What's the context window for Gemma-4 12B Coder vs Kimi K2.7 · Quality?

Gemma-4 12B Coder has a 256,000 tokens context window. Kimi K2.7 · Quality has a 256,000 tokens context window.

When should I pick Gemma-4 12B Coder over Kimi K2.7 · Quality?

Pick Gemma-4 12B Coder for: Free, private, offline coding where nothing can leave your machine; Landing pages, simple canvas builds, and code you'll review before shipping; Anyone who wants a $0 local coder wired into their Agent OS. The trade-off is the weaknesses we logged on the bench: Half its one-shots shipped broken on the bench — a missing canvas append, a missing render loop, and an uncompiled WebGL shader; Far below frontier models on complex 3D / WebGL / games — strongest on pages and simple canvas work, not simulations.

When should I pick Kimi K2.7 · Quality over Gemma-4 12B Coder?

Pick Kimi K2.7 · Quality for: One-shot games and sims where polish matters; Creative writing where you want the model to slow down; Final-pass refinement of an earlier draft. The trade-off is the weaknesses we logged on the bench: Slower than Fast and No-Think — not for snappy loops; Not scored on the standalone bench — see methodology.

How does Goldie Bench score Gemma-4 12B Coder vs Kimi K2.7 · Quality?

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.

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Full model pages: Gemma-4 12B Coder · Kimi K2.7 · Quality · back to the leaderboard