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 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.

Alibaba

Qwen2.5 72B 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 72B Instruct

$4.75 cheaper
Input:$0.35
Output:$0.40

Performance Metrics

Context window and performance specifications

OpenAI

o3-mini

Larger context
Max Context:300.0K
Alibaba

Qwen2.5 72B Instruct

Max Context:139.3K
Parameters:72.7B

Average performance across 4 common benchmarks

OpenAI

o3-mini

+21.3%
Average Score:88.4%
Alibaba

Qwen2.5 72B Instruct

Average Score:67.1%

Performance comparison across key benchmark categories

OpenAI

o3-mini

code
+15.3%
93.9%
math
66.4%
roleplay
+11.7%
84.6%
general
55.2%
Alibaba

Qwen2.5 72B Instruct

code
78.6%
math
+23.1%
89.5%
roleplay
72.9%
general
+18.9%
74.1%
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 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
OpenAI

o3-mini

+21.3%
Avg Score:88.4%
Providers:2
Alibaba

Qwen2.5 72B Instruct

Avg Score:67.1%
Providers:4