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Gemini 2.5 Pro vs GPT-5.5

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 2.5 Pro and GPT-5.5.

Google

Gemini 2.5 Pro

Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...

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OpenAI

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

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Technical Specifications

SpecificationGemini 2.5 ProGPT-5.5
ProviderGoogleOpenAI
Context Window1,048,576 tokens1,050,000 tokens
Agent Suitability90/10095/100
Time to First Token (TTFT)450 ms380 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-06-172026-04-24

API Pricing Comparison

Input Price per Million Tokens

Gemini 2.5 Pro

$1.25

GPT-5.5

$5.00

Output Price per Million Tokens

Gemini 2.5 Pro

$10.00

GPT-5.5

$30.00

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
8990.0%vs9420.0%
Gemini 2.5 Pro
GPT-5.5
HumanEvalPython coding & logic synthesis
9150.0%vs9680.0%
Gemini 2.5 Pro
GPT-5.5
MATHComplex mathematical problem solving
8200.0%vs9350.0%
Gemini 2.5 Pro
GPT-5.5
GPQAGraduate-level expert reasoning
7200.0%vs8420.0%
Gemini 2.5 Pro
GPT-5.5
HellaSwagCommonsense reasoning and inference
9620.0%vs9900.0%
Gemini 2.5 Pro
GPT-5.5
MT-BenchMulti-turn conversation flow quality
930.0%vs970.0%
Gemini 2.5 Pro
GPT-5.5

Gemini 2.5 Pro Quirks & Gotchas

  • Legacy model — migrate to Gemini 3.1 Pro for better tool calling and lower latency

GPT-5.5 Quirks & Gotchas

  • Best for JSON schema adherence — strict mode available via response_format parameter
  • Requires explicit tool_choice for deterministic function calling