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.

Microsoft

Phi-3.5-mini-instruct

Microsoft

Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.

Google

Gemma 2 27B

Google

2024-06-27

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

1 month newer

Performance Metrics

Context window and performance specifications

Google

Gemma 2 27B

Max Context:-
Parameters:27.2B
Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B

Average performance across 11 common benchmarks

Google

Gemma 2 27B

Average Score:69.9%
Microsoft

Phi-3.5-mini-instruct

+2.1%
Average Score:72.0%

Performance comparison across key benchmark categories

Google

Gemma 2 27B

reasoning
+8.4%
82.5%
general
+14.6%
70.0%
code
56.5%
math
58.1%
Microsoft

Phi-3.5-mini-instruct

reasoning
74.2%
general
55.4%
code
+9.7%
66.2%
math
+2.7%
60.9%
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
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
Google

Gemma 2 27B

Avg Score:69.9%
Providers:0
Microsoft

Phi-3.5-mini-instruct

+2.1%
Avg Score:72.0%
Providers:1