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

OpenAI

o1 is a language model developed by OpenAI. It achieves strong performance with an average score of 71.6% across 19 benchmarks. It excels particularly in GSM8k (97.1%), MATH (96.4%), GPQA Physics (92.8%). It supports a 300K 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

OpenAI

2024-12-17

5 months newer

Performance Metrics

Context window and performance specifications

Google

Gemma 2 27B

Max Context:-
Parameters:27.2B
OpenAI

o1

Larger context
Max Context:300.0K

Average performance across 4 common benchmarks

Google

Gemma 2 27B

Average Score:60.8%
OpenAI

o1

+32.5%
Average Score:93.3%

Performance comparison across key benchmark categories

Google

Gemma 2 27B

code
56.5%
math
58.1%
general
70.0%
OpenAI

o1

code
+31.6%
88.1%
math
+13.9%
72.0%
general
+1.8%
71.8%
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

2 providers

Azure

Throughput: 16 tok/s
Latency: 0.54ms

OpenAI

Throughput: 66 tok/s
Latency: 16.2ms
Google

Gemma 2 27B

Avg Score:60.8%
Providers:0
OpenAI

o1

+32.5%
Avg Score:93.3%
Providers:2