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

o1-mini

OpenAI

o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K 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-mini

OpenAI

2024-09-12

Google

Gemini 2.5 Pro Preview 06-05

Google

2025-06-05

8 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 2.5 Pro Preview 06-05

$3.75 cheaper
Input:$1.25
Output:$10.00
OpenAI

o1-mini

Input:$3.00
Output:$12.00

Performance Metrics

Context window and performance specifications

Google

Gemini 2.5 Pro Preview 06-05

Larger context
Max Context:1.1M
OpenAI

o1-mini

Max Context:193.5K

Average performance across 1 common benchmarks

Google

Gemini 2.5 Pro Preview 06-05

+26.4%
Average Score:86.4%
OpenAI

o1-mini

Average Score:60.0%

Performance comparison across key benchmark categories

Google

Gemini 2.5 Pro Preview 06-05

code
68.1%
general
+11.8%
69.8%
OpenAI

o1-mini

code
+24.3%
92.4%
general
58.0%
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

o1-mini

2 providers

Azure

Throughput: 100 tok/s
Latency: 0.5ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Google

Gemini 2.5 Pro Preview 06-05

+26.4%
Avg Score:86.4%
Providers:1
OpenAI

o1-mini

Avg Score:60.0%
Providers:2