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Gemma 3 12B vs Grok 4.7

Compare Gemma 3 12B and Grok 4.7 side-by-side.

Compare Gemma 3 12B vs Grok 4.7 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 3 12B vs Grok 4.7 Comparison Table

Evals updated September 22, 2026Pricing updated September 22, 2026

PropertyGemma 3 12BGrok 4.7
OrganizationGoogleSpaceXAI
Categoryopenclosed
Modalitymultimodal
Release DateMar 2025Sep 2026
Context Window128K500K
Parameters12B
LicenseCustomProprietary
Pricing per 1M tokens
Input $/1M$0.050$1.60
Output $/1M$0.150$4.80
Vision Tasks
CaptioningDemo
Chart Question Answering
Classification
Document Question Answering
Image Tagging
Multi-Label Classification
OCRDemo
Vision Language
Visual Question AnsweringDemo
Object Detection
Model Features
Foundation Vision
LLMs with Vision Capabilities
Multimodal Vision
Vision Evalsground-truth scores across 6 vision tasks, pooled at low effort
OverallNot evaluated
71.9%
Avg cost / sample$0.012
Avg speed / sample23.55s
By task
Object Detection (low)
40.4%
±0.6, Mean of 3 runs, range 39.8 to 41.0
$0.017
Object Detection (high)
41.2%
±1.6, Mean of 3 runs, range 39.6 to 42.8
$0.023
Counting (low)
61.7%
±1.3, Mean of 3 runs, range 60.8 to 63.5
$0.0086
Counting (high)
60.8%
±1.3, Mean of 3 runs, range 59.5 to 62.2
$0.013
Identification (low)
87.5%
±3.1, Mean of 3 runs, range 84.4 to 90.6
$0.0050
Identification (high)
80.2%
±1.6, Mean of 3 runs, range 78.1 to 81.3
$0.0074
OCR (low)
92.6%
±0.7, Mean of 3 runs, range 92.1 to 93.4
$0.014
OCR (high)
93.5%
±0.3, Mean of 3 runs, range 93.1 to 93.8
$0.034
Data Extraction (low)
84.9%
±2.6, Mean of 3 runs, range 82.5 to 87.6
$0.0048
Data Extraction (high)
87.6%
±1.5, Mean of 3 runs, range 86.6 to 89.7
$0.0054
Reasoning (low)
64.2%
±2.3, Mean of 3 runs, range 62.3 to 66.9
$0.012
Reasoning (high)
66.9%
±1.3, Mean of 3 runs, range 65.6 to 68.2
$0.019

Gemma 3 12B vs Grok 4.7: Overview

Gemma 3 12B

Gemma 3 12B, announced by Google DeepMind on March 12, 2025, is part of the open-weight Gemma 3 family, designed to provide a balance between capability and accessibility. With around 12 billion parameters, it supports multimodal input (text + images) and outputs text, making it useful for reasoning, summarization, Q&A, and visual understanding tasks. The model supports an input context of 128,000 tokens and typically generates up to ~8,000 tokens in output.

The 12B variant is instruction-tuned (“Gemma-3-12B-IT”) and optimized for multilingual use across more than 140 languages. It can run on a single GPU or TPU, offering a lighter compute footprint than very large proprietary models, while still achieving strong performance in reasoning benchmarks. Quantized and lower-precision variants are available to improve efficiency. Limitations include smaller output lengths relative to input capacity, scaling hardware needs at larger sizes, and performance below massive proprietary models on the most complex multimodal or reasoning-heavy tasks.

Grok 4.7

Grok 4.7 is a proprietary model from SpaceXAI, released on September 21, 2026. It accepts text and images as input and returns text. It extends Grok 4.6 and is listed at the same API price.

Its Vision Evals scores are on the leaderboard. Running it in the Playground is not available yet, because the inference workflow is not ready.

Frequently Asked Questions

Gemma 3 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 3 12B is released under Custom, while Grok 4.7 uses Proprietary. Licensing often matters more than raw accuracy for commercial deployments, so check the terms against how you plan to ship.