Model Comparison

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

Google

Gemini 2.5 Pro Preview 06-05

Google

Gemini 2.5 Pro Preview 06-05 is a multimodal language model developed by Google. It achieves strong performance with an average score of 68.8% across 13 benchmarks. It excels particularly in Global-MMLU-Lite (89.2%), AIME 2025 (88.0%), FACTS Grounding (87.8%). 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-4o

OpenAI

GPT-4o is a multimodal language model developed by OpenAI. The model shows competitive results across 32 benchmarks. It excels particularly in AI2D (94.2%), DocVQA (92.8%), ChartQA (85.7%). The model shows particular specialization in vision tasks with an average performance of 82.5%. It supports a 144K token context window for handling large documents. The model is available through 3 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents OpenAI's latest advancement in AI technology.

OpenAI

GPT-4o

OpenAI

2024-08-06

Google

Gemini 2.5 Pro Preview 06-05

Google

2025-06-05

10 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Pro Preview 06-05

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

GPT-4o

Input:$2.50
Output:$10.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro Preview 06-05

Larger context
Max Context:1.1M
OpenAI

GPT-4o

Max Context:144.4K

Average performance across 5 common benchmarks

Google

Gemini 2.5 Pro Preview 06-05

+25.5%
Average Score:74.4%
OpenAI

GPT-4o

Average Score:48.9%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro Preview 06-05

vision
+0.3%
82.8%
code
68.1%
general
+17.7%
69.8%
OpenAI

GPT-4o

vision
82.5%
code
+12.9%
81.0%
general
52.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 2.5 Pro Preview 06-05

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 Preview 06-05

1 providers

Google

Throughput: 85 tok/s
Latency: 0.7ms
OpenAI

GPT-4o

3 providers

Azure

Throughput: 99 tok/s
Latency: 0.53ms

ZeroEval

Throughput: 99 tok/s
Latency: 0.53ms

OpenAI

Throughput: 132 tok/s
Latency: 0.5ms
Google

Gemini 2.5 Pro Preview 06-05

+25.5%
Avg Score:74.4%
Providers:1
OpenAI

GPT-4o

Avg Score:48.9%
Providers:3