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

o1

OpenAI

o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

o1

OpenAI

2024-12-17

Google

Gemini 2.5 Pro

Google

2025-05-20

5 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Pro

$63.75 cheaper
Input:$1.25
Output:$10.00
OpenAI

o1

Input:$15.00
Output:$60.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro

Larger context
Max Context:1.1M
OpenAI

o1

Max Context:300.0K

Average performance across 5 common benchmarks

Google

Gemini 2.5 Pro

+2.1%
Average Score:65.7%
OpenAI

o1

Average Score:63.6%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro

code
70.6%
vision
+4.6%
82.2%
general
69.4%
OpenAI

o1

code
+17.5%
88.1%
vision
77.6%
general
+2.4%
71.8%
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

o1

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
Google

Gemini 2.5 Pro

+2.1%
Avg Score:65.7%
Providers:1
OpenAI

o1

Avg Score:63.6%
Providers:2