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Gemini 3.1 Pro vs Grok 4.6

Compare Gemini 3.1 Pro and Grok 4.6 side-by-side. See how these vision models stack up in Image Captioning, Open Prompt, Classification, and OCR.

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

Compare image classification labels and confidence scores side-by-side.

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GoogleGemini 3.1 Pro
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GrokGrok 4.6
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Models in this comparison

Gemini 3.1 Pro vs Grok 4.6 on Vision Evals

Gemini 3.1 Pro scores higher on all six Vision Evals tasks.

The widest gap is Object Detection, where Gemini 3.1 Pro leads 67.4% to 20.2%.

Overall, Gemini 3.1 Pro averages 83.1% (#4 of 30) against 67.8% (#17 of 30) for Grok 4.6.

Grok 4.6 is both cheaper ($0.0069 vs $0.0093 per sample) and faster (7.4s vs 7.8s per sample).

Gemini 3.1 ProGrok 4.6

Gemini 3.1 Pro vs Grok 4.6 Comparison Table

Evals updated August 14, 2026Pricing updated August 15, 2026

PropertyGemini 3.1 ProGrok 4.6
OrganizationGoogleSpaceXAI
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateFeb 2026Aug 2026
Context Window1.0M500K
Parameters
LicenseProprietaryProprietary
Pricing per 1M tokens
Input $/1M$2.00$2.00
Output $/1M$12.00$6.00
Vision Tasks
CaptioningDemoDemo
Chart Question Answering
ClassificationDemoDemo
Document Question Answering
Image Tagging
Multi-Label Classification
OCRDemoDemo
Vision Language
Visual Question AnsweringDemoDemo
Object DetectionDemo
Model Features
Foundation Vision
LLMs with Vision Capabilities
Multimodal Vision
Vision Evalsground-truth scores across 6 vision tasks, pooled at low effort
Overall
83.1%
67.8%
Avg cost / sample$0.0093$0.0069
Avg speed / sample7.81s7.39s
By task
Object Detection
67.4%
$0.010
20.2%
$0.0068
Counting
71.6%
$0.0071
70.3%
$0.0074
Identification
100.0%
$0.0070
78.1%
$0.0048
OCR
92.6%
$0.0066
92.0%
$0.0086
Data Extraction
94.8%
$0.0063
84.5%
$0.0042
Reasoning (low)
72.2%
$0.012
61.6%
$0.0087
Reasoning (high)
74.8%
$0.021
61.6%
$0.027

Gemini 3.1 Pro vs Grok 4.6: Overview

Gemini 3.1 Pro

Gemini 3.1 Pro is a proprietary multimodal model from Google’s Gemini 3 series, released in early 2026 and designed for advanced reasoning across large multimodal datasets. It accepts text, images, audio, video, and documents, supporting up to a 1-million-token input context with up to 64k output tokens. Compared with Gemini 3 Pro, it improves long-context synthesis and multi-step reasoning, enabling more reliable analysis of large documents, datasets, and software codebases.

The model also advances visual understanding and grounding, allowing it to interpret UI screenshots, diagrams, and real-world scenes while referencing specific regions within images or video. These capabilities make Gemini 3.1 Pro well suited for multimodal workflows involving document processing, interface analysis, robotics research, and complex visual reasoning.

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 rather than producing pixel level outputs such as boxes or masks.

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

On Roboflow's Vision Evals, Gemini 3.1 Pro performed better. It scores higher on all six vision tasks and averages 83.1% (#4 of 30) against 67.8% (#17 of 30) for Grok 4.6. These scores measure vision capabilities only; either model may perform differently on work outside this benchmark's tasks.

Yes. On the Vision Evals Object Detection benchmark, Gemini 3.1 Pro leads with 67.4% against 20.2%. This is the widest gap between the two models across the benchmark's tasks.

Grok 4.6 is cheaper to run. Across Roboflow's Vision Evals task mix it averaged $0.0069 per sample against $0.0093. Gemini 3.1 Pro is priced at $2.00 per 1M input tokens and $12.00 per 1M output; Grok 4.6 is priced at $2.00 per 1M input tokens and $6.00 per 1M output. Actual costs depend on your image sizes, prompts, and output length.

Grok 4.6 is faster. Across Roboflow's Vision Evals it averaged 7.4s per inference against 7.8s. Latency varies with image size, prompt length, and provider load, so treat these as relative rather than guaranteed figures.

Yes. The comparison demo on this page runs both models on the same image side by side for image captioning and open prompts in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.