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Gemini 4 Hydrogen vs Gemma 4 12B

Gemini 4 Hydrogen: 87.3% average across five Vision Evals tasks (#3 of 69 models). We have not run Gemma 4 12B through Roboflow's Vision Evals, so there is no head-to-head score.

Compare Gemini 4 Hydrogen vs Gemma 4 12B 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.

Gemini 4 Hydrogen vs Gemma 4 12B Comparison Table

Evals updated November 12, 2026

PropertyGemini 4 HydrogenGemma 4 12B
OrganizationGoogleGoogle
Categoryclosedopen
Modalitymultimodalmultimodal
Release DateNov 2026Jun 2026
Context Window1.0M—
ParametersUnknown12B
LicenseProprietaryApache 2.0
Commercial usecommercial use per vendor termsfree for commercial use
Vision Tasks
CaptioningDemoSupported
OCRDemoSupported
Visual Question AnsweringDemoSupported
classificationDemoNot listed
object-detectionDemoNot listed
Promptable Concept SegmentationDemoNot listed
Both support 1 more task
Model Features
Foundation VisionSupportedNot listed
LLMs with Vision CapabilitiesSupportedNot listed
Both support 1 more feature
Vision Evalsground-truth scores across 5 vision tasks, pooled at low effort
Overall
87.3%
Not evaluated
Avg cost / sample$0.0094–
Avg speed / sample13.23s–
By task
Object Detection (low)
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)
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)
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)
86.7%
$0.0089
–
by category
Single value
78.7%
Transcription
96.1%
Structured JSON
93.6%
Text localization
83.9%
OCR (high)
87.2%
$0.026
–
by category
Single value
80.9%
Transcription
95.3%
Structured JSON
93.1%
Text localization
83.7%
Reasoning (low)
88.1%
±0.7, Mean of 3 runs, range 87.4 to 88.7
$0.0046
–
Reasoning (high)
91.8%
±0.3, Mean of 3 runs, range 91.4 to 92.0
$0.013
–

Gemini 4 Hydrogen vs Gemma 4 12B: Overview

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.

Gemma 4 12B

Gemma 4 12B is an open-weight multimodal model from Google in the Gemma 4 family. It is intended for text and image understanding tasks such as visual question answering, OCR, captioning, and document understanding, with a smaller parameter footprint than the larger Gemma 4 variants.

This entry is connected to Roboflow Playground vision evals for comparison. No runnable Playground workflow is configured yet, so the model page is used for discovery and benchmark context rather than direct hosted inference.