Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemini 2.5 Pro

Google

Gemini 2.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 67.1% across 16 benchmarks. It excels particularly in MRCR (93.0%), AIME 2024 (92.0%), Global-MMLU-Lite (88.6%). The model shows particular specialization in vision tasks with an average performance of 82.2%. With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.

OpenAI

GPT-4

OpenAI

GPT-4 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 77.7% across 12 benchmarks. It excels particularly in AI2 Reasoning Challenge (ARC) (96.3%), HellaSwag (95.3%), Uniform Bar Exam (90.0%). The model shows particular specialization in reasoning tasks with an average performance of 93.0%. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly.

OpenAI

GPT-4

OpenAI

2023-06-13

Google

Gemini 2.5 Pro

Google

2025-05-20

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Pro

$78.75 cheaper
Input:$1.25
Output:$10.00
OpenAI

GPT-4

Input:$30.00
Output:$60.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro

Larger context
Max Context:1.1M
OpenAI

GPT-4

Max Context:65.5K

Average performance across 1 common benchmarks

Google

Gemini 2.5 Pro

+47.3%
Average Score:83.0%
OpenAI

GPT-4

Average Score:35.7%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro

reasoning
4.9%
general
69.4%
code
+3.6%
70.6%
OpenAI

GPT-4

reasoning
+88.1%
93.0%
general
+6.8%
76.2%
code
67.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4

2022-12-31

Gemini 2.5 Pro

2025-01-31

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 2.5 Pro

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
OpenAI

GPT-4

2 providers

Azure

Throughput: 104 tok/s
Latency: 0.3ms

OpenAI

Throughput: 100 tok/s
Latency: 0.5ms
Google

Gemini 2.5 Pro

+47.3%
Avg Score:83.0%
Providers:1
OpenAI

GPT-4

Avg Score:35.7%
Providers:2