Model Comparison

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

OpenAI

o3-mini

OpenAI

o3-mini is a language model developed by OpenAI. The model shows competitive results across 26 benchmarks. It excels particularly in COLLIE (98.7%), MATH (97.9%), IFEval (93.9%). It supports a 300K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents OpenAI'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.

Alibaba

Qwen2.5-Coder 32B Instruct

Alibaba

2024-09-19

OpenAI

o3-mini

OpenAI

2025-01-30

4 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

o3-mini

Input:$1.10
Output:$4.40
Alibaba

Qwen2.5-Coder 32B Instruct

$5.32 cheaper
Input:$0.09
Output:$0.09

Performance Metrics

Context window and performance specifications

OpenAI

o3-mini

Larger context
Max Context:300.0K
Alibaba

Qwen2.5-Coder 32B Instruct

Max Context:256.0K
Parameters:32.0B

Average performance across 2 common benchmarks

OpenAI

o3-mini

+26.3%
Average Score:92.4%
Alibaba

Qwen2.5-Coder 32B Instruct

Average Score:66.1%

Performance comparison across key benchmark categories

OpenAI

o3-mini

code
+35.7%
93.9%
math
66.4%
general
55.2%
Alibaba

Qwen2.5-Coder 32B Instruct

code
58.2%
math
+7.8%
74.2%
general
+6.3%
61.5%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

o3-mini

2023-09-30

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

o3-mini

2 providers

Azure

Throughput: 115 tok/s
Latency: 5.2ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
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
OpenAI

o3-mini

+26.3%
Avg Score:92.4%
Providers:2
Alibaba

Qwen2.5-Coder 32B Instruct

Avg Score:66.1%
Providers:4