Model Comparison

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

OpenAI

o1-mini

OpenAI

o1-mini is a language model developed by OpenAI. It achieves strong performance with an average score of 71.9% across 6 benchmarks. It excels particularly in HumanEval (92.4%), MATH-500 (90.0%), MMLU (85.2%). It supports a 194K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.

Alibaba

QwQ-32B-Preview

Alibaba

QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). 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.

OpenAI

o1-mini

OpenAI

2024-09-12

Alibaba

QwQ-32B-Preview

Alibaba

2024-11-28

2 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

o1-mini

Input:$3.00
Output:$12.00
Alibaba

QwQ-32B-Preview

$14.65 cheaper
Input:$0.15
Output:$0.20

Performance Metrics

Context window and performance specifications

OpenAI

o1-mini

Larger context
Max Context:193.5K
Alibaba

QwQ-32B-Preview

Max Context:65.5K
Parameters:32.5B

Average performance across 2 common benchmarks

OpenAI

o1-mini

Average Score:75.0%
Alibaba

QwQ-32B-Preview

+2.9%
Average Score:77.9%

Performance comparison across key benchmark categories

OpenAI

o1-mini

code
+42.4%
92.4%
math
90.0%
general
+0.4%
58.0%
Alibaba

QwQ-32B-Preview

code
50.0%
math
+0.6%
90.6%
general
57.6%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

QwQ-32B-Preview

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

OpenAI

o1-mini

2 providers

Azure

Throughput: 100 tok/s
Latency: 0.5ms

OpenAI

Throughput: 115 tok/s
Latency: 5.2ms
Alibaba

QwQ-32B-Preview

4 providers

Together

Throughput: 62.14 tok/s
Latency: 0.74ms

Hyperbolic

Throughput: 31.9 tok/s
Latency: 1.05ms

DeepInfra

Throughput: 76.04 tok/s
Latency: 0.44ms

Fireworks

Throughput: 99.15 tok/s
Latency: 0.53ms
OpenAI

o1-mini

Avg Score:75.0%
Providers:2
Alibaba

QwQ-32B-Preview

+2.9%
Avg Score:77.9%
Providers:4