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Gemini 3 Flash vs Grok 4.7

Compare Gemini 3 Flash and Grok 4.7 side-by-side. See how these vision models stack up in Object Detection, Classification, Open Prompt, OCR, and Image Captioning.

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GoogleGemini 3 Flash
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GrokGrok 4.7
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Models in this comparison

Gemini 3 Flash vs Grok 4.7 on Vision Evals

Gemini 3 Flash scores higher on 4 of the five Vision Evals tasks.

The widest gap is Identification, where Gemini 3 Flash leads 93.8% to 87.5%.

Overall, Gemini 3 Flash averages 65.7% (#25 of 61) against 63.5% (#29 of 61) for Grok 4.7.

Gemini 3 Flash is both cheaper ($0.0024 vs $0.020 per sample) and faster (5.8s vs 33.3s per sample).

Gemini 3 FlashGrok 4.7

Gemini 3 Flash vs Grok 4.7 Comparison Table

Evals updated October 8, 2026Pricing updated October 9, 2026

PropertyGemini 3 FlashGrok 4.7
OrganizationGoogleSpaceXAI
Categoryclosedclosed
Modalitymultimodal—
Release DateDec 2025Sep 2026
Context Window1.0M500K
ParametersUnknownUnknown
LicenseProprietaryProprietary
Pricing per 1M tokens
Input $/1M$0.500$2.00
Output $/1M$3.00$6.00
Vision Tasks
CaptioningDemoDemo
Chart Question AnsweringSupportedSupported
ClassificationDemoDemo
Document Question AnsweringSupportedSupported
Image TaggingSupportedSupported
Multi-Label ClassificationSupportedSupported
Object DetectionDemoDemo
OCRDemoDemo
Vision LanguageSupportedSupported
Visual Question AnsweringDemoDemo
Model Features
Foundation VisionSupportedNot listed
LLMs with Vision CapabilitiesSupportedNot listed
Multimodal VisionSupportedNot listed
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
Overall
65.7%
63.5%
Avg cost / sample$0.0024$0.020
Avg speed / sample5.83s33.31s
By task
Object Detection (low)
38.6%
$0.0031
40.4%
±0.6, Mean of 3 runs, range 39.8 to 41.0
$0.021
Object Detection (high)–
41.2%
±1.6, Mean of 3 runs, range 39.6 to 42.8
$0.028
Counting (low)
67.6%
$0.0012
61.7%
±1.3, Mean of 3 runs, range 60.8 to 63.5
$0.011
Counting (high)–
60.8%
±1.3, Mean of 3 runs, range 59.5 to 62.2
$0.017
Identification (low)
93.8%
$0.0009
87.5%
±3.1, Mean of 3 runs, range 84.4 to 90.6
$0.0063
Identification (high)–
80.2%
±1.6, Mean of 3 runs, range 78.1 to 81.3
$0.0093
OCR (low)
63.9%
$0.0024
63.6%
$0.023
by category
Single value
63.9%
Transcription
90.5%
Structured JSON
80.2%
Text localization
7.6%
Single value
54.4%
Transcription
89.5%
Structured JSON
86.4%
Text localization
14.8%
OCR (high)
73.1%
$0.013
–
by category
Single value
69.1%
Transcription
90.0%
Structured JSON
87.5%
Text localization
36.9%
Reasoning (low)
64.9%
$0.0020
64.2%
±2.3, Mean of 3 runs, range 62.3 to 66.9
$0.015
Reasoning (high)
74.2%
$0.0040
66.9%
±1.3, Mean of 3 runs, range 65.6 to 68.2
$0.024

Gemini 3 Flash vs Grok 4.7: Overview

Gemini 3 Flash

Gemini 3 Flash is a proprietary multimodal large language model developed by Google through Google DeepMind, designed to deliver fast, cost-efficient reasoning across real-time products and developer workflows. Released in December 2025, it is the Flash-tier variant of the Gemini 3 family, balancing low latency with reasoning quality approaching Pro models.

The model supports text, images, audio, and video, with an exceptionally large context window of roughly one million input tokens and outputs up to ~65k tokens. It emphasizes rapid responses for coding, summarization, analysis, and agentic tasks, and exposes configurable “thinking levels” via API to trade speed for deeper reasoning. Today, Gemini 3 Flash positions itself as a high-throughput, production-ready model, serving as the default in the Gemini app and Google Search’s AI Mode, optimized for scalable, interactive AI applications.

Grok 4.7

Grok 4.7 is a proprietary multimodal reasoning model from SpaceXAI that accepts images alongside text and returns text-only output. On visual inputs it supports image captioning, visual question answering, OCR, document and chart question answering, and image classification and tagging, with all results expressed as generated text rather than bounding boxes or masks. Its 500,000 token context window leaves room for several images, long documents, or extended conversations about visual content in a single request.

The model exposes a configurable reasoning effort setting with low, medium, high, and xhigh levels (high by default), letting callers trade latency for the amount of deliberation spent on a prompt, including multi-step questions about an image. Built on a larger base model than Grok 4.6 with extended reinforcement learning on harder tasks, it works longer on difficult problems and checks its own work more carefully at the same serving speed. SpaceXAI's launch materials focus on coding and agentic knowledge work and report no image benchmark results.

Frequently Asked Questions

On Roboflow's Vision Evals, Gemini 3 Flash performed better. It scores higher on 4 of the five vision tasks and averages 65.7% (#25 of 61) against 63.5% (#29 of 61) for Grok 4.7. These scores measure vision capabilities only; either model may perform differently on work outside this benchmark's tasks.

Yes. On the Vision Evals Identification benchmark at low effort, Gemini 3 Flash leads with 93.8% against 87.5%. This is the widest gap between the two models across the benchmark's tasks.

Gemini 3 Flash is cheaper to run. Across Roboflow's Vision Evals task mix it averaged $0.0024 per sample against $0.020. Gemini 3 Flash is priced at $0.50 per 1M input tokens and $3.00 per 1M output; Grok 4.7 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.

Gemini 3 Flash is faster. Across Roboflow's Vision Evals it averaged 5.8s per inference against 33.3s. 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 object detection and image classification in the free Roboflow Playground. You can try it instantly, and a free account unlocks unlimited runs.