Model Comparison

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

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.

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

Qwen2.5-Coder 32B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 64.9% across 15 benchmarks. It excels particularly in HumanEval (92.7%), GSM8k (91.1%), MBPP (90.2%). The model shows particular specialization in reasoning tasks with an average performance of 78.1%. It supports a 256K 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-mini-instruct

Microsoft

2024-08-23

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

27 days newer

Pricing Comparison

Cost per million tokens (USD)

Microsoft

Phi-3.5-mini-instruct

Input:$0.10
Output:$0.10
Alibaba

Qwen2.5-Coder 32B Instruct

$0.02 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B
Alibaba

Qwen2.5-Coder 32B Instruct

Max Context:256.0K
Parameters:32.0B

Average performance across 10 common benchmarks

Microsoft

Phi-3.5-mini-instruct

Average Score:67.0%
Alibaba

Qwen2.5-Coder 32B Instruct

+7.5%
Average Score:74.5%

Performance comparison across key benchmark categories

Microsoft

Phi-3.5-mini-instruct

reasoning
74.2%
math
60.9%
code
+8.0%
66.2%
factuality
+9.8%
64.0%
general
55.4%
Alibaba

Qwen2.5-Coder 32B Instruct

reasoning
+3.9%
78.1%
math
+13.3%
74.2%
code
58.2%
factuality
54.2%
general
+6.1%
61.5%
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-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
Alibaba

Qwen2.5-Coder 32B Instruct

4 providers

Hyperbolic

Throughput: 100 tok/s
Latency: 0.5ms

DeepInfra

Throughput: 44 tok/s
Latency: 0.5ms

Fireworks

Throughput: 110 tok/s
Latency: 0.26ms

Lambda

Throughput: 42 tok/s
Latency: 0.5ms
Microsoft

Phi-3.5-mini-instruct

Avg Score:67.0%
Providers:1
Alibaba

Qwen2.5-Coder 32B Instruct

+7.5%
Avg Score:74.5%
Providers:4