Model Comparison

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

OpenAI

GPT-4.5

OpenAI

GPT-4.5 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 64.1% across 26 benchmarks. It excels particularly in GSM8k (97.0%), MMLU (90.8%), CharXiv-D (90.0%). The model shows particular specialization in code tasks with an average performance of 88.1%. It supports a 132K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.

Alibaba

QwQ-32B-Preview

Alibaba

2024-11-28

OpenAI

GPT-4.5

OpenAI

2025-02-27

3 months newer

Pricing Comparison

Cost per million tokens (USD)

OpenAI

GPT-4.5

Input:$75.00
Output:$150.00
Alibaba

QwQ-32B-Preview

$224.65 cheaper
Input:$0.15
Output:$0.20

Performance Metrics

Context window and performance specifications

OpenAI

GPT-4.5

Larger context
Max Context:132.1K
Alibaba

QwQ-32B-Preview

Max Context:65.5K
Parameters:32.5B

Average performance across 2 common benchmarks

OpenAI

GPT-4.5

Average Score:53.1%
Alibaba

QwQ-32B-Preview

+4.5%
Average Score:57.6%

Performance comparison across key benchmark categories

OpenAI

GPT-4.5

math
84.7%
code
+38.1%
88.1%
general
+1.7%
59.3%
Alibaba

QwQ-32B-Preview

math
+6.0%
90.6%
code
50.0%
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

GPT-4.5

1 providers

OpenAI

Throughput: 50 tok/s
Latency: 20ms
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

GPT-4.5

Avg Score:53.1%
Providers:1
Alibaba

QwQ-32B-Preview

+4.5%
Avg Score:57.6%
Providers:4