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Gemini 3.1 Pro vs GPT-5.5 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 Gemini 3.1 Pro and GPT-5.5 Pro.

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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OpenAI

GPT-5.5 Pro

GPT-5.5 Pro is OpenAI’s high-capability model optimized for deep reasoning and accuracy on complex, high-stakes workloads. It features a 1M+ token context window (922K input, 128K output) with support for...

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Technical Specifications

SpecificationGemini 3.1 ProGPT-5.5 Pro
ProviderGoogleOpenAI
Context Window2,000,000 tokens1,050,000 tokens
Agent Suitability93/10098/100
Time to First Token (TTFT)420 ms450 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablebeta
API AvailableYesYes
Released Date2026-04-202026-04-24

API Pricing Comparison

Input Price per Million Tokens

Gemini 3.1 Pro

$2.00

GPT-5.5 Pro

$30.00

Output Price per Million Tokens

Gemini 3.1 Pro

$12.00

GPT-5.5 Pro

$180.00

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
9280.0%vs9650.0%
Gemini 3.1 Pro
GPT-5.5 Pro
HumanEvalPython coding & logic synthesis
9460.0%vs9820.0%
Gemini 3.1 Pro
GPT-5.5 Pro
MATHComplex mathematical problem solving
8800.0%vs9600.0%
Gemini 3.1 Pro
GPT-5.5 Pro
GPQAGraduate-level expert reasoning
8130.0%vs8910.0%
Gemini 3.1 Pro
GPT-5.5 Pro
HellaSwagCommonsense reasoning and inference
9840.0%vs9940.0%
Gemini 3.1 Pro
GPT-5.5 Pro
MT-BenchMulti-turn conversation flow quality
950.0%vs990.0%
Gemini 3.1 Pro
GPT-5.5 Pro

Gemini 3.1 Pro Quirks & Gotchas

  • Best model for massive context — 2M token window is class-leading
  • Tool calling requires explicit schema definition in Google AI Studio

GPT-5.5 Pro Quirks & Gotchas

  • Best-in-class instruction following for complex agentic chains
  • Premium pricing — use GPT-5 for cost-sensitive workloads