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Claude 3 Sonnet vs Gemini 3.1 Flash

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 3 Sonnet and Gemini 3.1 Flash.

Anthropic

Claude 3 Sonnet

Claude 3 Sonnet was Anthropic's balanced standard model in the first Claude 3 generation, optimized for a combination of response speed and general-purpose capabilities across writing, summarization, and question answering. Released in March 2024 alongside Opus and Haiku, it occupied the mid-tier positioning in the Claude 3 lineup. Claude 3 Sonnet has since been deprecated, and current use cases requiring similar capability-to-cost balance are best served by the Claude 4 Sonnet series, which offers substantially improved reasoning, context handling, and instruction following at competitive pricing.

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Google

Gemini 3.1 Flash

Gemini 3.1 Flash is Google's high-speed, cost-efficient multimodal model in the 3.1 generation, purpose-built for high-volume content synthesis, classification, and intelligent routing at scale. Featuring a 1-million-token context window, it can process large batches of documents, customer data, or multimedia content in a single inference pass, dramatically reducing pipeline complexity. At just $0.25/MTok for input, it is one of the most affordable routes to Google-caliber multimodal AI, making it an ideal backbone for production pipelines, data enrichment workflows, and high-frequency API integrations.

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Technical Specifications

SpecificationClaude 3 SonnetGemini 3.1 Flash
ProviderAnthropicGoogle
Context Window200,000 tokens1,000,000 tokens
Agent SuitabilityN/A86/100
Time to First Token (TTFT)N/A150 ms
Deployment ModelN/Amanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-042026-04-20

API Pricing Comparison

Input Price per Million Tokens

Claude 3 Sonnet

$3.00

Gemini 3.1 Flash

$0.25

Output Price per Million Tokens

Claude 3 Sonnet

$15.00

Gemini 3.1 Flash

$1.50

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
7900.0%vs8680.0%
Claude 3 Sonnet
Gemini 3.1 Flash
HumanEvalPython coding & logic synthesis
7300.0%vs8850.0%
Claude 3 Sonnet
Gemini 3.1 Flash
MATHComplex mathematical problem solving
4100.0%vs7820.0%
Claude 3 Sonnet
Gemini 3.1 Flash
GPQAGraduate-level expert reasoning
3500.0%vs6050.0%
Claude 3 Sonnet
Gemini 3.1 Flash
HellaSwagCommonsense reasoning and inference
8900.0%vs9520.0%
Claude 3 Sonnet
Gemini 3.1 Flash
MT-BenchMulti-turn conversation flow quality
820.0%vs900.0%
Claude 3 Sonnet
Gemini 3.1 Flash

Claude 3 Sonnet Quirks & Gotchas

No developer gotchas reported.

Gemini 3.1 Flash Quirks & Gotchas

  • โ–ธMost cost-effective Google model โ€” ideal for high-volume pipelines
  • โ–ธContext caching available via Vertex AI for repeated document processing