Model Comparison

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

Google

Gemini 1.5 Pro

Google

Gemini 1.5 Pro is a multimodal language model developed by Google. It achieves strong performance with an average score of 72.6% across 23 benchmarks. It excels particularly in XSTest (98.8%), HellaSwag (93.3%), GSM8k (90.8%). With a 2.1M 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 2024, 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.

Google

Gemini 1.5 Pro

Google

2024-05-01

OpenAI

o1-mini

OpenAI

2024-09-12

4 months newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.5 Pro

$2.50 cheaper
Input:$2.50
Output:$10.00
OpenAI

o1-mini

Input:$3.00
Output:$12.00

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M
OpenAI

o1-mini

Max Context:193.5K

Average performance across 3 common benchmarks

Google

Gemini 1.5 Pro

Average Score:76.4%
OpenAI

o1-mini

+2.8%
Average Score:79.2%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Pro

code
74.5%
math
74.9%
general
+11.0%
68.9%
OpenAI

o1-mini

code
+17.9%
92.4%
math
+15.1%
90.0%
general
58.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Gemini 1.5 Pro

2023-11-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.5 Pro

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 1.5 Pro

Avg Score:76.4%
Providers:1
OpenAI

o1-mini

+2.8%
Avg Score:79.2%
Providers:2