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Claude Sonnet 4.6 vs Gemma 4 31B

Compare Claude Sonnet 4.6 and Gemma 4 31B side-by-side. See how these vision models stack up in Image Captioning, Classification, Open Prompt, Object Detection, and OCR.

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AnthropicClaude Sonnet 4.6
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GoogleGemma 4 31B
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Claude Sonnet 4.6 vs Gemma 4 31B: Overview

Claude Sonnet 4.6

Claude Sonnet 4.6 is Anthropic's mid-tier large language model, released February 17, 2026, designed to balance performance, cost, and versatility for professional and developer use. It supports text and vision-based tasks with advanced reasoning, agentic capabilities, and Adaptive Thinking — a mode where the model dynamically scales its internal reasoning depth. A beta context window of up to 1,000,000 tokens (200K standard) enables processing of entire codebases or document collections in a single request. Parameters are undisclosed.

Optimized for coding, computer use, long-context reasoning, agent planning, and knowledge work, Sonnet 4.6 delivers a full generational upgrade over Sonnet 4.5 and approaches Opus 4.5-level performance across many benchmarks at a fraction of the cost. It is the default model on Claude.ai, Claude Cowork, and is available via API and major cloud platforms — making it well suited for production workloads requiring strong reasoning without flagship pricing.

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.

Claude Sonnet 4.6 vs Gemma 4 31B Comparison Table

PropertyClaude Sonnet 4.6Gemma 4 31B
OrganizationAnthropicGoogle
Categoryclosedopen
Modalitymultimodalmultimodal
Release DateFeb 2026Apr 2026
Context Window1.0M256K
Parameters31B
LicenseProprietaryApache 2.0
Pricing per 1M tokens
Input $/1M$3.00$0.120
Output $/1M$15.00$0.350
Vision Tasks
CaptioningDemoDemo
ClassificationDemoDemo
Object DetectionDemoDemo
OCRDemoDemo
Vision Language
Visual Question AnsweringDemoDemo
Model Features
Multimodal Vision
Foundation Vision
LLMs with Vision Capabilities
Vision Evalspass/fail results · 67 prompts
Score key:≥75%40–74%<40%
Visual Understanding
Overall Score
70.15%
67.16%
Avg Response Time4.24s34.59s
Median input tokensincl. image tokens2.2K294
Median output tokens105169
Est. cost / taskon this benchmark$0.0080$0.0001
Defect Detection
80%(12/15)
80%(12/15)
Document Understanding
77.8%(7/9)
88.9%(8/9)
Object Counting
30%(3/10)
10%(1/10)
Object Understanding
71.4%(10/14)
71.4%(10/14)
Spatial Understanding
78.9%(15/19)
73.7%(14/19)
OCR
Overall Score
81.66%
84.72%
Avg Response Time3.42s11.82s
Median input tokensincl. image tokens736290
Median output tokens85131
Est. cost / taskon this benchmark$0.0035$0.0001
Focused Scene OCR
85.9%(85/99)
86.9%(86/99)
Handwritten Math
50%(5/10)
50%(5/10)
License Plate Recognition
90%(27/30)
93.3%(28/30)
Text Recognition
86.7%(26/30)
80%(24/30)
VQA & Extraction
73.3%(44/60)
85%(51/60)

Output tokens (incl. reasoning) and est. cost / task are measured on this benchmark from a single low-temperature run, and shown only for models whose run covered at least 90% of prompts. Methodology