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 nano

OpenAI

GPT-4.1 nano is a multimodal language model developed by OpenAI. The model shows competitive results across 25 benchmarks. It excels particularly in MMLU (80.1%), IFEval (74.5%), CharXiv-D (73.9%). 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 OpenAI's latest advancement in AI technology.

OpenAI

GPT-4.1 nano

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 nano

$10.75 cheaper
Input:$0.10
Output:$0.40

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 nano

Max Context:1.1M

Average performance across 3 common benchmarks

Google

Gemini 2.5 Pro Preview 06-05

+45.0%
Average Score:83.5%
OpenAI

GPT-4.1 nano

Average Score:38.5%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro Preview 06-05

vision
+27.4%
82.8%
code
68.1%
general
+37.4%
69.8%
long_context
16.4%
OpenAI

GPT-4.1 nano

vision
55.4%
code
+6.4%
74.5%
general
32.4%
long_context
+31.8%
48.3%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

GPT-4.1 nano

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 nano

1 providers

OpenAI

Throughput: 200 tok/s
Latency: 2ms
Google

Gemini 2.5 Pro Preview 06-05

+45.0%
Avg Score:83.5%
Providers:1
OpenAI

GPT-4.1 nano

Avg Score:38.5%
Providers:1