Model Comparison

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

Alibaba

Qwen3 32B

Alibaba

Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba'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

Alibaba

Qwen3 32B

Alibaba

2025-04-29

5 months newer

Pricing Comparison

Cost per million tokens (USD)

Alibaba

Qwen3 32B

Input:$0.10
Output:$0.30
Alibaba

QwQ-32B-Preview

$0.05 cheaper
Input:$0.15
Output:$0.20

Performance Metrics

Context window and performance specifications

Alibaba

Qwen3 32B

Larger context
Max Context:256.0K
Parameters:32.8B
Alibaba

QwQ-32B-Preview

Max Context:65.5K
Parameters:32.5B

Average performance across 2 common benchmarks

Alibaba

Qwen3 32B

+23.6%
Average Score:73.6%
Alibaba

QwQ-32B-Preview

Average Score:50.0%

Performance comparison across key benchmark categories

Alibaba

Qwen3 32B

code
+30.4%
80.4%
general
+16.0%
73.6%
Alibaba

QwQ-32B-Preview

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

Alibaba

Qwen3 32B

3 providers

Sambanova

Throughput: 327.7 tok/s
Latency: 1.08ms

DeepInfra

Throughput: 26.95 tok/s
Latency: 1.19ms

Novita

Throughput: 32.43 tok/s
Latency: 0.93ms
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
Alibaba

Qwen3 32B

+23.6%
Avg Score:73.6%
Providers:3
Alibaba

QwQ-32B-Preview

Avg Score:50.0%
Providers:4