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Gemma 4 12B vs Grok 4.6

Compare Gemma 4 12B and Grok 4.6 side-by-side.

Compare Gemma 4 12B vs Grok 4.6 live

Run the same image across every model that supports a task and compare their outputs side-by-side.

These models don't share enough common tasks for a side-by-side demo. See the comparison table below for their capabilities.

Models in this comparison

Gemma 4 12B vs Grok 4.6 Comparison Table

Evals updated September 3, 2026Pricing updated September 3, 2026

PropertyGemma 4 12BGrok 4.6
OrganizationGoogleSpaceXAI
Categoryopenclosed
Modalitymultimodalmultimodal
Release DateJun 2026Aug 2026
Context Window500K
Parameters12B
LicenseApache 2.0Proprietary
Pricing per 1M tokens
Input $/1M$2.00
Output $/1M$6.00
Vision Tasks
CaptioningDemo
OCRDemo
Vision Language
Visual Question AnsweringDemo
Chart Question Answering
ClassificationDemo
Document Question Answering
Image Tagging
Multi-Label Classification
Object DetectionDemo
Model Features
Multimodal Vision
Foundation Vision
LLMs with Vision Capabilities
Vision Evalsground-truth scores across 6 vision tasks, pooled at low effort
OverallNot evaluated
69.5%
Avg cost / sample$0.0069
Avg speed / sample7.39s
By task
Object Detection
20.2%
$0.0068
Counting
70.3%
$0.0074
Identification
87.5%
$0.0048
OCR
92.0%
$0.0086
Data Extraction
85.6%
$0.0042
Reasoning (low)
61.6%
$0.0087
Reasoning (high)
61.6%
$0.027

Gemma 4 12B vs Grok 4.6: Overview

Gemma 4 12B

Gemma 4 12B is an open-weight multimodal model from Google in the Gemma 4 family. It is intended for text and image understanding tasks such as visual question answering, OCR, captioning, and document understanding, with a smaller parameter footprint than the larger Gemma 4 variants.

This entry is connected to Roboflow Playground vision evals for comparison. No runnable Playground workflow is configured yet, so the model page is used for discovery and benchmark context rather than direct hosted inference.

Grok 4.6

Grok 4.6 is a proprietary reasoning model from xAI aimed at long-running agentic workflows, coding, and knowledge work. It accepts text and image input and returns text, with a 500,000 token context window and a knowledge cutoff of February 1, 2026. The model exposes an adjustable reasoning budget with low, medium, high, and xhigh settings, where high is the default, and it supports function calling, structured outputs, web and X search, and code execution as documented tool behaviors. Its visual capability covers interpreting images supplied alongside text prompts, which places it in the visual question answering and document understanding family, and it can also return object detection boxes as text coordinates when prompted.

xAI characterizes Grok 4.6 as the result of an extended post-training run over the Grok 4.5 lineage rather than a new pretrained base. The described recipe combines curated model-generated reasoning and technical data, engineering data, a revised optimizer, regenerated supervised fine-tuning trajectories, and reinforcement learning across agent environments spanning knowledge work, coding, kernel optimization, web development, and computer-aided design. Parameter count and architecture specifics are not disclosed. Independent measurement from Artificial Analysis places the model at 61 on its Intelligence Index, five points above Grok 4.5.

Frequently Asked Questions

Gemma 4 12B has not yet been evaluated on Roboflow's current Vision Evals, so this comparison shows specs, licensing, and pricing rather than benchmark scores.

Gemma 4 12B is released under Apache 2.0, while Grok 4.6 uses Proprietary. Licensing often matters more than raw accuracy for commercial deployments, so check the terms against how you plan to ship.