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Gemini 2.5 Pro vs GPT-4o-mini

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-4o-mini.

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-4o-mini

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

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Technical Specifications

SpecificationGemini 2.5 ProGPT-4o-mini
ProviderGoogleOpenAI
Context Window1,048,576 tokens128,000 tokens
Agent Suitability90/10082/100
Time to First Token (TTFT)450 ms150 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-06-172024-07-18

API Pricing Comparison

Input Price per Million Tokens

Gemini 2.5 Pro

$1.25

GPT-4o-mini

$0.15

Output Price per Million Tokens

Gemini 2.5 Pro

$10.00

GPT-4o-mini

$0.60

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%vs8200.0%
Gemini 2.5 Pro
GPT-4o-mini
HumanEvalPython coding & logic synthesis
9150.0%vs8400.0%
Gemini 2.5 Pro
GPT-4o-mini
MATHComplex mathematical problem solving
8200.0%vs7020.0%
Gemini 2.5 Pro
GPT-4o-mini
GPQAGraduate-level expert reasoning
7200.0%vs4500.0%
Gemini 2.5 Pro
GPT-4o-mini
HellaSwagCommonsense reasoning and inference
9620.0%vs8470.0%
Gemini 2.5 Pro
GPT-4o-mini
MT-BenchMulti-turn conversation flow quality
930.0%vs860.0%
Gemini 2.5 Pro
GPT-4o-mini

Gemini 2.5 Pro Quirks & Gotchas

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

GPT-4o-mini Quirks & Gotchas

  • Ultra-low latency — best TTFT in the OpenAI lineup
  • Tool calling limited to single-step — not suitable for complex agentic pipelines