Model Comparison

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

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.

Alibaba

Qwen2.5 72B Instruct

Alibaba

Qwen2.5 72B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). The model shows particular specialization in math tasks with an average performance of 89.5%. It supports a 139K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Microsoft

Phi-3.5-MoE-instruct

Microsoft

2024-08-23

Alibaba

Qwen2.5 72B Instruct

Alibaba

2024-09-19

27 days newer

Performance Metrics

Context window and performance specifications

Microsoft

Phi-3.5-MoE-instruct

Max Context:-
Parameters:60.0B
Alibaba

Qwen2.5 72B Instruct

Larger context
Max Context:139.3K
Parameters:72.7B

Average performance across 7 common benchmarks

Microsoft

Phi-3.5-MoE-instruct

Average Score:60.0%
Alibaba

Qwen2.5 72B Instruct

+19.3%
Average Score:79.3%

Performance comparison across key benchmark categories

Microsoft

Phi-3.5-MoE-instruct

math
69.0%
code
75.8%
general
60.9%
Alibaba

Qwen2.5 72B Instruct

math
+20.5%
89.5%
code
+2.9%
78.6%
general
+13.2%
74.1%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

Microsoft

Phi-3.5-MoE-instruct

0 providers
Alibaba

Qwen2.5 72B Instruct

4 providers

Together

Throughput: 47 tok/s
Latency: 0.5ms

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 10 tok/s
Latency: 0.5ms

Fireworks

Throughput: 59 tok/s
Latency: 0.37ms
Microsoft

Phi-3.5-MoE-instruct

Avg Score:60.0%
Providers:0
Alibaba

Qwen2.5 72B Instruct

+19.3%
Avg Score:79.3%
Providers:4