Roboflow

Claude Sonnet 4.5 vs Gemma 4 31B

Compare Claude Sonnet 4.5 and Gemma 4 31B side-by-side. See how these vision models stack up in Object Detection, Classification, Image Captioning, OCR, and Open Prompt.

Compare Claude Sonnet 4.5 vs Gemma 4 31B live

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

Detect and compare bounding boxes across models on the same image.

Open Object Detection in the full playground
AnthropicClaude Sonnet 4.5
Run to compare this model.
GoogleGemma 4 31B
Run to compare this model.

Models in this comparison

Claude Sonnet 4.5 vs Gemma 4 31B Comparison Table

Evals updated October 7, 2026Pricing updated October 8, 2026

PropertyClaude Sonnet 4.5Gemma 4 31B
OrganizationAnthropicGoogle
Categoryclosedopen
Modalitymultimodalmultimodal
Release DateSep 2025Apr 2026
Context Window200K256K
ParametersUnknown31B
LicenseProprietaryApache 2.0
Pricing per 1M tokens
Input $/1M$3.00$0.090
Output $/1M$15.00$0.340
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 VisionSupportedSupported
LLMs with Vision CapabilitiesSupportedSupported
Multimodal VisionSupportedSupported
Vision Evalsground-truth scores across 6 vision tasks
OverallNot evaluated
67.0%
Quantizationsself-hosted
BF1666.9%FP867.0%QAT-W4A1667.0%hardware →
Avg cost / sample–$0.0015
Avg speed / sample–34.36s
By task
Object Detection–
47.5%
±0.6, Mean of 3 runs, range 46.8 to 48.0
$0
Counting–
51.4%
±2.7, Mean of 3 runs, range 48.6 to 54.0
$0
Identification–
79.2%
±1.6, Mean of 3 runs, range 78.1 to 81.3
$0
OCR–
90.8%
±0.6, Mean of 3 runs, range 90.2 to 91.5
$0
Data Extraction–
80.4%
±1.0, Mean of 3 runs, range 79.4 to 81.4
$0
Reasoning–
52.8%
±1.3, Mean of 3 runs, range 51.7 to 54.3
$0

Claude Sonnet 4.5 vs Gemma 4 31B: Overview

Claude Sonnet 4.5

Claude Sonnet 4.5, released by Anthropic in September 2025, is the company’s most advanced Sonnet-series model, built for high-performance reasoning, coding, and long-horizon agentic workflows. It is a multimodal system that accepts both text and images, with a 200,000-token context window designed for handling large documents and extended interactions. Anthropic highlights its improvements in reliability, reduced sycophancy, and alignment, making it suitable for sustained enterprise use.

The model delivers strong results in coding and autonomous workflows, achieving 61.4% on the OSWorld benchmark and leading performance on SWE-bench Verified. It introduces infrastructure features such as a memory tool (beta), checkpointing for Claude Code, parallel tool use, and tighter integration with VS Code. Compared to Opus, which targets broader reasoning, Sonnet 4.5 is optimized for structured, long-duration tasks. Positioned against leading offerings from OpenAI and Google, it is aimed at enterprise automation, software engineering, and research-intensive applications.

Gemma 4 31B

Gemma 4 31B is the largest dense model in Google's Gemma 4 family, built from the same research as Gemini 3 and released as open weights under the Apache 2.0 license. It supports a 256K token context window with text and image input, configurable thinking mode for step-by-step reasoning, and multilingual support across 140+ languages. The unquantized model fits on a single 80GB GPU.

For vision tasks, Gemma 4 31B supports image understanding with variable aspect ratios and resolutions, and can output structured bounding boxes for UI element detection, making it useful for document parsing and UI understanding. Compared to Gemma 3, it delivers stronger reasoning and multimodal performance. It is part of a four-size family alongside the 26B A4B MoE variant and two on-device models (E2B, E4B), with the 31B dense variant optimized for output quality and fine-tuning over inference speed.