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

o3

OpenAI

o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 65.3% across 19 benchmarks. It excels particularly in AIME 2024 (91.6%), ARC-AGI (88.0%), MathVista (86.8%). The model shows particular specialization in vision tasks with an average performance of 76.7%. It supports a 300K 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

o3

OpenAI

2025-04-16

Google

Gemini 2.5 Pro

Google

2025-05-20

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Pro

Input:$1.25
Output:$10.00
OpenAI

o3

$1.25 cheaper
Input:$2.00
Output:$8.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro

Larger context
Max Context:1.1M
OpenAI

o3

Max Context:300.0K

Average performance across 8 common benchmarks

Google

Gemini 2.5 Pro

Average Score:62.5%
OpenAI

o3

+2.7%
Average Score:65.2%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro

vision
+5.5%
82.2%
general
+1.9%
69.4%
reasoning
4.9%
OpenAI

o3

vision
76.7%
general
67.5%
reasoning
+42.4%
47.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3

2024-05-31

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

o3

1 providers

OpenAI

Throughput: 50 tok/s
Latency: 20ms
Google

Gemini 2.5 Pro

Avg Score:62.5%
Providers:1
OpenAI

o3

+2.7%
Avg Score:65.2%
Providers:1