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Gemma 3 4B vs Grok 4.7

Compare Gemma 3 4B and Grok 4.7 side-by-side.

Compare Gemma 3 4B 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 4B vs Grok 4.7 Comparison Table

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

PropertyGemma 3 4BGrok 4.7
OrganizationGoogleSpaceXAI
Categoryopenclosed
Modalitymultimodal
Release DateMar 2025Sep 2026
Context Window128K500K
Parameters4B
LicenseCustomProprietary
Pricing per 1M tokens
Input $/1M$0.050$1.60
Output $/1M$0.100$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 4B vs Grok 4.7: Overview

Gemma 3 4B

Gemma 3 4B, released on March 12, 2025, is the mid-sized member of Google DeepMind’s open-weight Gemma 3 family. With about 4 billion parameters, it is multimodal—supporting text and image inputs and generating text outputs. Like the larger Gemma 3 models, it features a 128,000-token input context window with an output capacity of ~8,192 tokens, enabling it to handle long documents and mixed text–image reasoning tasks.

The 4B variant is designed as a balance between efficiency and capability: it offers multilingual support across 140+ languages, strong summarization and reasoning performance, and compatibility with moderate hardware. Inference can run with ~6.4 GB VRAM in BF16, or significantly less in quantized 8-bit (~4.4 GB) or 4-bit (~3.4 GB) modes, making it accessible to developers outside large-scale infrastructure. While it lags behind the 12B and 27B versions on the most complex reasoning and multimodal benchmarks, its lower compute footprint makes it ideal for research, prototyping, and practical deployment where efficiency matters.

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 4B 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 4B 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.