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Claude Sonnet 4.6 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 Sonnet 4.6 and Gemini 3.1 Flash.

Anthropic

Claude Sonnet 4.6

Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with...

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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 Sonnet 4.6Gemini 3.1 Flash
ProviderAnthropicGoogle
Context Window1,000,000 tokens1,000,000 tokens
Agent Suitability94/10086/100
Time to First Token (TTFT)350 ms150 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-02-172026-04-20

API Pricing Comparison

Input Price per Million Tokens

Claude Sonnet 4.6

$3.00

Gemini 3.1 Flash

$0.25

Output Price per Million Tokens

Claude Sonnet 4.6

$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
9040.0%vs8680.0%
Claude Sonnet 4.6
Gemini 3.1 Flash
HumanEvalPython coding & logic synthesis
9370.0%vs8850.0%
Claude Sonnet 4.6
Gemini 3.1 Flash
MATHComplex mathematical problem solving
8230.0%vs7820.0%
Claude Sonnet 4.6
Gemini 3.1 Flash
GPQAGraduate-level expert reasoning
6500.0%vs6050.0%
Claude Sonnet 4.6
Gemini 3.1 Flash
HellaSwagCommonsense reasoning and inference
9600.0%vs9520.0%
Claude Sonnet 4.6
Gemini 3.1 Flash
MT-BenchMulti-turn conversation flow quality
940.0%vs900.0%
Claude Sonnet 4.6
Gemini 3.1 Flash

Claude Sonnet 4.6 Quirks & Gotchas

  • โ–ธBest balance of speed and capability โ€” default for most Claude integrations
  • โ–ธComputer-use (beta) feature enables autonomous UI interaction

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