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Claude Opus 4.7 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 Opus 4.7 and Gemini 3.1 Pro.

Anthropic

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

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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.

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Technical Specifications

SpecificationClaude Opus 4.7Gemini 3.1 Pro
ProviderAnthropicGoogle
Context Window1,000,000 tokens2,000,000 tokens
Agent Suitability96/10093/100
Time to First Token (TTFT)480 ms420 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-04-162026-04-20

API Pricing Comparison

Input Price per Million Tokens

Claude Opus 4.7

$5.00

Gemini 3.1 Pro

$2.00

Output Price per Million Tokens

Claude Opus 4.7

$25.00

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
9410.0%vs9280.0%
Claude Opus 4.7
Gemini 3.1 Pro
HumanEvalPython coding & logic synthesis
9610.0%vs9460.0%
Claude Opus 4.7
Gemini 3.1 Pro
MATHComplex mathematical problem solving
9150.0%vs8800.0%
Claude Opus 4.7
Gemini 3.1 Pro
GPQAGraduate-level expert reasoning
8420.0%vs8130.0%
Claude Opus 4.7
Gemini 3.1 Pro
HellaSwagCommonsense reasoning and inference
9880.0%vs9840.0%
Claude Opus 4.7
Gemini 3.1 Pro
MT-BenchMulti-turn conversation flow quality
975.0%vs950.0%
Claude Opus 4.7
Gemini 3.1 Pro

Claude Opus 4.7 Quirks & Gotchas

  • โ–ธTop-tier agentic coding model โ€” excels at autonomous software engineering
  • โ–ธRequires explicit tool_choice parameter for parallel function calling to work reliably

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