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.

Microsoft

Phi-3.5-MoE-instruct

Microsoft

Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). The model shows particular specialization in reasoning tasks with an average performance of 85.4%. 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

Gemini 1.5 Pro

Google

2024-05-01

Microsoft

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

3 months newer

Performance Metrics

Context window and performance specifications

Google

Gemini 1.5 Pro

Larger context
Max Context:2.1M
Microsoft

Phi-3.5-MoE-instruct

Max Context:-
Parameters:60.0B

Average performance across 9 common benchmarks

Google

Gemini 1.5 Pro

+16.7%
Average Score:83.6%
Microsoft

Phi-3.5-MoE-instruct

Average Score:66.8%

Performance comparison across key benchmark categories

Google

Gemini 1.5 Pro

reasoning
+7.9%
93.3%
code
74.5%
math
+6.0%
74.9%
general
+8.0%
68.9%
Microsoft

Phi-3.5-MoE-instruct

reasoning
85.4%
code
+1.3%
75.8%
math
69.0%
general
60.9%
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
Microsoft

Phi-3.5-MoE-instruct

0 providers
Google

Gemini 1.5 Pro

+16.7%
Avg Score:83.6%
Providers:1
Microsoft

Phi-3.5-MoE-instruct

Avg Score:66.8%
Providers:0