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Gemma 3 4B vs Qwen3.7 Plus

Compare Gemma 3 4B and Qwen3.7 Plus side-by-side. See how these vision models stack up in Image Captioning, OCR, and Open Prompt.

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GoogleGemma 3 4B
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QwenQwen3.7 Plus
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Models in this comparison

Gemma 3 4B vs Qwen3.7 Plus Comparison Table

Evals updated August 20, 2026Pricing updated August 24, 2026

PropertyGemma 3 4BQwen3.7 Plus
OrganizationGoogleQwen
Categoryopenclosed
Modalitymultimodal
Release DateMar 2025
Context Window128K
Parameters4B
LicenseCustom
Pricing per 1M tokens
Input $/1M$0.050$0.320
Output $/1M$0.100$1.28
Vision Tasks
CaptioningDemoDemo
ClassificationDemo
OCRDemoDemo
Visual Question AnsweringDemoDemo
Chart Question Answering
Document Question Answering
Image Tagging
Multi-Label Classification
object-detectionDemo
Vision Language
Model Features
Foundation Vision
LLMs with Vision Capabilities
Multimodal Vision
Vision Evalsground-truth scores across 6 vision tasks, pooled at low effort
OverallNot evaluated
67.4%
Avg cost / sample$0.0008
Avg speed / sample7.01s
By task
Object Detection
60.1%
$0.0013
Counting
50.0%
$0.0004
Identification
84.4%
$0.0003
OCR
86.5%
$0.0009
Data Extraction
83.5%
$0.0004
Reasoning (low)
39.7%
$0.0003
Reasoning (high)
68.2%
$0.0043

Gemma 3 4B vs Qwen3.7 Plus: 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.

Qwen3.7 Plus
No description available

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.

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