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-4.5

OpenAI

GPT-4.5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 64.1% across 26 benchmarks. It excels particularly in GSM8k (97.0%), MMLU (90.8%), CharXiv-D (90.0%). The model shows particular specialization in code tasks with an average performance of 88.1%. It supports a 132K token context window for handling large documents. 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 OpenAI's latest advancement in AI technology.

OpenAI

GPT-4.5

OpenAI

2025-02-27

Google

Gemini 2.5 Pro

Google

2025-05-20

2 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Pro

$213.75 cheaper
Input:$1.25
Output:$10.00
OpenAI

GPT-4.5

Input:$75.00
Output:$150.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro

Larger context
Max Context:1.1M
OpenAI

GPT-4.5

Max Context:132.1K

Average performance across 6 common benchmarks

Google

Gemini 2.5 Pro

+12.4%
Average Score:66.9%
OpenAI

GPT-4.5

Average Score:54.5%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro

code
70.6%
vision
+7.0%
82.2%
general
+10.1%
69.4%
OpenAI

GPT-4.5

code
+17.5%
88.1%
vision
75.2%
general
59.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

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-4.5

1 providers

OpenAI

Throughput: 50 tok/s
Latency: 20ms
Google

Gemini 2.5 Pro

+12.4%
Avg Score:66.9%
Providers:1
OpenAI

GPT-4.5

Avg Score:54.5%
Providers:1