Model Comparison

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

Google

Gemma 2 27B

Google

Gemma 2 27B is a language model developed by Google. It achieves strong performance with an average score of 69.1% across 16 benchmarks. It excels particularly in ARC-E (88.6%), HellaSwag (86.4%), BoolQ (84.8%). The model shows particular specialization in reasoning tasks with an average performance of 82.5%. It's licensed for commercial use, making it suitable for enterprise applications. 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

Gemma 2 27B

Google

2024-06-27

OpenAI

o1-mini

OpenAI

2024-09-12

2 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 2 27B

Max Context:-
Parameters:27.2B
OpenAI

o1-mini

Larger context
Max Context:193.5K

Average performance across 2 common benchmarks

Google

Gemma 2 27B

Average Score:63.5%
OpenAI

o1-mini

+25.3%
Average Score:88.8%

Performance comparison across key benchmark categories

Google

Gemma 2 27B

code
56.5%
math
58.1%
general
+12.0%
70.0%
OpenAI

o1-mini

code
+35.9%
92.4%
math
+31.9%
90.0%
general
58.0%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemma 2 27B

0 providers
OpenAI

o1-mini

2 providers

Azure

Throughput: 100 tok/s
Latency: 0.5ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Google

Gemma 2 27B

Avg Score:63.5%
Providers:0
OpenAI

o1-mini

+25.3%
Avg Score:88.8%
Providers:2