Model Comparison

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

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.

GPT-3.5 Turbo

OpenAI

GPT-3.5 Turbo is a language model developed by OpenAI. The model shows competitive results across 8 benchmarks. Notable strengths include DROP (70.2%), MMLU (69.8%), HumanEval (68.0%). The model is available through 2 API providers.

GPT-3.5 Turbo

OpenAI

2023-03-21

Gemma 2 27B

Google

2024-06-27

1 year newer

Performance Metrics

Context window and performance specifications

Gemma 2 27B

Max Context:-

Parameters:27.2B

GPT-3.5 Turbo

Larger context

Max Context:20.5K

Average performance across 3 common benchmarks

Gemma 2 27B

Average Score:56.4%

GPT-3.5 Turbo

+3.9%

Average Score:60.3%

Performance comparison across key benchmark categories

Gemma 2 27B

general

+13.1%

70.0%

code

56.5%

math

+25.0%

58.1%

GPT-3.5 Turbo

general

56.9%

code

+11.5%

68.0%

math

33.1%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

GPT-3.5 Turbo

2021-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Gemma 2 27B

0 providers

GPT-3.5 Turbo

2 providers

Azure

Throughput: 90 tok/s

Latency: 0.8ms

OpenAI

Throughput: 100 tok/s

Latency: 0.5ms

Gemma 2 27B

Avg Score:56.4%

Providers:0

GPT-3.5 Turbo

+3.9%

Avg Score:60.3%

Providers:2