
Grok vs Gemma-4 12B Coder
Snappy + real-time — the X-native model. vs The free, offline coder — trained only on code that passed its tests.
Head-to-head verdict: Grok wins 6–0.
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 Grok and Gemma-4 12B Coder, side by side, on 6 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.
Grok · Used for real-time content workflows where the model needs current X timeline context. Standalone bench scoring pending.
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.
Side-by-side on 42 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 = 🥉).
Where Grok beat Gemma-4 12B Coder
The tasks where I gave Grok a higher 0–10 score on the same prompt — with the actual commentary from my source guides.
What I saw: Solar system on canvas with orbits + Saturn rings + moons. 12KB — compact build, drag-to-orbit + scroll-to-zoom. Slightly less polish than Fusion's glass UI version.
What I saw: Full-screen plasma with palette switcher + click-to-ripple. Lighter build (9KB) than Fusion's.
What I saw: Classic matrix rain. Smaller build (6KB) — straightforward implementation, on brief.
What I saw: A bright spiral with a hot-white core and clear arms fading from gold to cyan. Far brighter and more obviously a galaxy than the dim first attempt.
What I saw: A crisp neon Asteroids — glowing ship, lives, score, drifting rocks, real sound. Shippable straight out of one prompt.
Strengths & weaknesses I logged
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
Gemma-4 12B Coder
Strengths
- Runs 100% free + offline on a consumer Mac (Q4_K_M, 7.4GB) — no API, no rate limits, nothing leaves the machine
- Test-verified training (Composer 2.5 + Fable 5) — shipped a clean SaaS landing page and a working particle galaxy one-shot
- Fast on Apple Silicon — 2.4s cold start, ~35 tokens/sec on an M4 Max
Trade-offs
- 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
Pricing & context — the spec sheet
| Spec | Grok | Gemma-4 12B Coder |
|---|---|---|
| Vendor | xAI | Community (Gemma-4 · local) |
| Context window | 256,000 tokens | 256,000 tokens |
| Price | Subscription via X Premium | Free · runs locally |
| Pricing detail | Bundled with X (Twitter) Premium subscription — no per-token bill for end users, no individual API pricing for the chat product. | 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. |
| Release | 2026-04 | 2026-06 |
| Bench coverage | 38/42 scored · avg 8.13/10 | 6/6 scored · avg 4.25/10 |
The verdict — which should you pick?
Across 6 scored shared tasks, Grok averaged 7.92/10, beating Gemma-4 12B Coder's 4.25/10 by 3.67 points. Pick Grok when the build has to ship on the first prompt and you can afford the trade-offs in the comparison below.
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 Grok and Gemma-4 12B Coder both into the Agent Operating System and dispatch each from the kanban by task type — workflows that need live x / twitter context → Grok, free, private, offline coding where nothing can leave your machine → Gemma-4 12B Coder. That's the same setup I run for the 3,600+ founders inside the AI Profit Boardroom.
FAQ — Grok vs Gemma-4 12B Coder
Which is better, Grok or Gemma-4 12B Coder?
On Goldie Bench, Grok averages 7.92/10 across the shared tasks, with 12 gold, 12 silver, 9 bronze overall. Gemma-4 12B Coder averages 4.25/10, with 0 gold, 0 silver, 0 bronze. Grok wins the head-to-head 6–0.
How much does Grok cost vs Gemma-4 12B Coder?
Grok: Bundled with X (Twitter) Premium subscription — no per-token bill for end users, no individual API pricing for the chat product. 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.
What's the context window for Grok vs Gemma-4 12B Coder?
Grok has a 256,000 tokens context window. Gemma-4 12B Coder has a 256,000 tokens context window.
When should I pick Grok over Gemma-4 12B Coder?
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.
When should I pick Gemma-4 12B Coder over Grok?
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.
How does Goldie Bench score Grok vs Gemma-4 12B Coder?
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:
Grok vs Opus 4.8 Gemma-4 12B Coder vs Opus 4.8 Grok vs GLM-5.2 Gemma-4 12B Coder vs GLM-5.2 Grok vs Fusion Gemma-4 12B Coder vs Fusion Grok vs MiniMax M3 Gemma-4 12B Coder vs MiniMax M3Full model pages: Grok · Gemma-4 12B Coder · back to the leaderboard
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.



























