โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude Sonnet 4 vs Gemini 3.1 Pro

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Sonnet 4 and Gemini 3.1 Pro.

Anthropic

Claude Sonnet 4

Claude Sonnet 4 significantly enhances the capabilities of its predecessor, Sonnet 3.7, excelling in both coding and reasoning tasks with improved precision and controllability. Achieving state-of-the-art performance on SWE-bench (72.7%),...

View Full Specs
Google

Gemini 3.1 Pro

Google's premiere multi-modal model featuring a massive 2 million token context window. Engineered for deep code analysis, video indexing, and long-context reasoning.

View Full Specs

Technical Specifications

SpecificationClaude Sonnet 4Gemini 3.1 Pro
ProviderAnthropicGoogle
Context Window1,000,000 tokens2,000,000 tokens
Agent SuitabilityN/A93/100
Time to First Token (TTFT)N/A420 ms
Deployment Modelmanaged apimanaged api
Production Stabilitybetastable
API AvailableYesYes
Released Date2025-05-222026-04-20

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4

$3.00

Gemini 3.1 Pro

$2.00

Output Price per Million Tokens

Claude Sonnet 4

$15.00

Gemini 3.1 Pro

$12.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8800.0%vs9280.0%
Claude Sonnet 4
Gemini 3.1 Pro
HumanEvalPython coding & logic synthesis
9150.0%vs9460.0%
Claude Sonnet 4
Gemini 3.1 Pro
MATHComplex mathematical problem solving
7880.0%vs8800.0%
Claude Sonnet 4
Gemini 3.1 Pro
GPQAGraduate-level expert reasoning
6050.0%vs8130.0%
Claude Sonnet 4
Gemini 3.1 Pro
HellaSwagCommonsense reasoning and inference
9500.0%vs9840.0%
Claude Sonnet 4
Gemini 3.1 Pro
MT-BenchMulti-turn conversation flow quality
920.0%vs950.0%
Claude Sonnet 4
Gemini 3.1 Pro

Claude Sonnet 4 Quirks & Gotchas

No developer gotchas reported.

Gemini 3.1 Pro Quirks & Gotchas

  • โ–ธBest model for massive context โ€” 2M token window is class-leading
  • โ–ธTool calling requires explicit schema definition in Google AI Studio