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Gemini 3.1 Pro vs Gemini 4 Hydrogen

Gemini 4 Hydrogen and Gemini 3.1 Pro score 87.3% vs 76.8% averaged across five Vision Evals tasks (#3 and #17 of 69 models), so Gemini 4 Hydrogen leads overall.

  • Gemini 4 Hydrogen wins 4 of the 5 tasks, with its widest lead on reasoning (88.1% vs 72.2%).
  • Gemini 4 Hydrogen is cheaper: $0.0094 vs $0.010 overall average cost per sample.
  • Gemini 3.1 Pro is faster: 8.4s vs 13.2s per sample.

Compare Gemini 3.1 Pro vs Gemini 4 Hydrogen live

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GoogleGemini 3.1 Pro
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Gemini 3.1 Pro vs Gemini 4 Hydrogen on Vision Evals

Score by taskGemini 3.1 ProGemini 4 Hydrogen
Reasoning
72.2
88.1
OCR
72.6
86.7
Object Detection
67.4
81.0
Counting
71.6
83.8
Identification
100.0
96.9

Roboflow Vision Evals. Full breakdown below.

Gemini 3.1 Pro vs Gemini 4 Hydrogen Comparison Table

Evals updated November 12, 2026Pricing updated November 13, 2026

PropertyGemini 3.1 ProGemini 4 Hydrogen
OrganizationGoogleGoogle
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateFeb 2026Nov 2026
Context Window1.0M1.0M
ParametersUnknownUnknown
LicenseProprietaryProprietary
Commercial usecommercial use per vendor termscommercial use per vendor terms
Pricing per 1M tokens
Input $/1M$2.00No published price
Output $/1M$12.00No published price
Vision Tasks
Chart Question AnsweringSupportedNot listed
Document Question AnsweringSupportedNot listed
Image TaggingSupportedNot listed
Multi-Label ClassificationSupportedNot listed
Promptable Concept SegmentationNot listedDemo
Both support 6 more tasks
Model Features
Both support 3 more features
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
Overall
76.8%
87.3%
Avg cost / sample$0.010$0.0094
Avg speed / sample8.44s13.23s
By task
Object Detection (low)
67.4%
$0.010
81.0%
±0.8, Mean of 3 runs, range 80.3 to 81.9
$0.016
Object Detection (high)–
83.3%
±0.7, Mean of 3 runs, range 82.4 to 83.8
$0.022
Counting (low)
71.6%
$0.0071
83.8%
±2.0, Mean of 3 runs, range 82.4 to 86.5
$0.0041
Counting (high)–
84.2%
±2.7, Mean of 3 runs, range 82.4 to 87.8
$0.012
Identification (low)
100.0%
$0.0070
96.9%
±0.0, Mean of 3 runs, range 96.9 to 96.9
$0.0030
Identification (high)–
96.9%
±0.0, Mean of 3 runs, range 96.9 to 96.9
$0.0039
OCR (low)
72.6%
$0.010
86.7%
$0.0089
by category
Single value
67.8%
Transcription
88.5%
Structured JSON
82.0%
Text localization
52.0%
Single value
78.7%
Transcription
96.1%
Structured JSON
93.6%
Text localization
83.9%
OCR (high)
73.1%
$0.026
87.2%
$0.026
by category
Single value
68.7%
Transcription
90.8%
Structured JSON
83.9%
Text localization
47.1%
Single value
80.9%
Transcription
95.3%
Structured JSON
93.1%
Text localization
83.7%
Reasoning (low)
72.2%
$0.012
88.1%
±0.7, Mean of 3 runs, range 87.4 to 88.7
$0.0046
Reasoning (high)
74.8%
$0.021
91.8%
±0.3, Mean of 3 runs, range 91.4 to 92.0
$0.013

Gemini 3.1 Pro vs Gemini 4 Hydrogen: 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.

Gemini 4 Hydrogen

Gemini 4 Hydrogen is a multimodal model from Google, positioned as a successor to Gemini 3.8 Flash with stronger agent and coding capabilities at Flash-class speed.

Frequently Asked Questions

On Roboflow's Vision Evals, Gemini 4 Hydrogen performed better. It scores higher on 4 of the five vision tasks and averages 87.3% (#3 of 69) against 76.8% (#17 of 69) for Gemini 3.1 Pro. These scores measure vision capabilities only; either model may perform differently on work outside this benchmark's tasks.

No. On the Vision Evals Reasoning benchmark at low effort, Gemini 4 Hydrogen leads with 88.1% against 72.2%. This is the widest gap between the two models across the benchmark's tasks.

Gemini 4 Hydrogen is cheaper to run. Across Roboflow's Vision Evals task mix it averaged $0.0094 per sample against $0.010. Actual costs depend on your image sizes, prompts, and output length.

Gemini 3.1 Pro is faster. Across Roboflow's Vision Evals it averaged 8.4s per inference against 13.2s. 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.