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 7B Instruct

Alibaba

Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K 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 Alibaba's latest advancement in AI technology.

Alibaba

Qwen2.5 7B 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 7B Instruct

$4.90 cheaper
Input:$0.30
Output:$0.30

Performance Metrics

Context window and performance specifications

OpenAI

o3-mini

Larger context
Max Context:300.0K
Alibaba

Qwen2.5 7B Instruct

Max Context:139.3K
Parameters:7.6B

Average performance across 4 common benchmarks

OpenAI

o3-mini

+33.7%
Average Score:88.4%
Alibaba

Qwen2.5 7B Instruct

Average Score:54.8%

Performance comparison across key benchmark categories

OpenAI

o3-mini

code
+27.9%
93.9%
roleplay
+22.9%
84.6%
math
66.4%
general
55.2%
Alibaba

Qwen2.5 7B Instruct

code
66.0%
roleplay
61.7%
math
+17.2%
83.5%
general
+5.4%
60.6%
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 7B Instruct

1 providers

Together

Throughput: 138 tok/s
Latency: 0.5ms
OpenAI

o3-mini

+33.7%
Avg Score:88.4%
Providers:2
Alibaba

Qwen2.5 7B Instruct

Avg Score:54.8%
Providers:1