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-4.1 mini

OpenAI

GPT-4.1 mini is a multimodal language model developed by OpenAI. The model shows competitive results across 29 benchmarks. It excels particularly in CharXiv-D (88.4%), MMLU (87.5%), IFEval (84.1%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 2 API providers. 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-4.1 mini

OpenAI

2025-04-14

Google

Gemini 2.5 Pro Preview 06-05

Google

2025-06-05

1 month newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Pro Preview 06-05

Input:$1.25
Output:$10.00
OpenAI

GPT-4.1 mini

$9.25 cheaper
Input:$0.40
Output:$1.60

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro Preview 06-05

Larger context
Max Context:1.1M
OpenAI

GPT-4.1 mini

Max Context:1.1M

Average performance across 6 common benchmarks

Google

Gemini 2.5 Pro Preview 06-05

+31.3%
Average Score:71.2%
OpenAI

GPT-4.1 mini

Average Score:40.0%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro Preview 06-05

code
68.1%
vision
+10.1%
82.8%
general
+23.9%
69.8%
long_context
16.4%
OpenAI

GPT-4.1 mini

code
+16.0%
84.1%
vision
72.7%
general
45.9%
long_context
+18.9%
35.4%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1 mini

2024-05-31

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-4.1 mini

2 providers

ZeroEval

Throughput: 150 tok/s
Latency: 5ms

OpenAI

Throughput: 150 tok/s
Latency: 5ms
Google

Gemini 2.5 Pro Preview 06-05

+31.3%
Avg Score:71.2%
Providers:1
OpenAI

GPT-4.1 mini

Avg Score:40.0%
Providers:2