Model Comparison

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

DeepSeek

DeepSeek R1 Distill Qwen 32B

DeepSeek

DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K 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 2025, it represents DeepSeek'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

DeepSeek

DeepSeek R1 Distill Qwen 32B

DeepSeek

2025-01-20

1 month newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek R1 Distill Qwen 32B

$0.05 cheaper
Input:$0.12
Output:$0.18
Alibaba

QwQ-32B-Preview

Input:$0.15
Output:$0.20

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Qwen 32B

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

QwQ-32B-Preview

Max Context:65.5K
Parameters:32.5B

Average performance across 4 common benchmarks

DeepSeek

DeepSeek R1 Distill Qwen 32B

+10.3%
Average Score:74.2%
Alibaba

QwQ-32B-Preview

Average Score:64.0%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Qwen 32B

math
+3.7%
94.3%
general
+15.1%
72.7%
code
+7.2%
57.2%
Alibaba

QwQ-32B-Preview

math
90.6%
general
57.6%
code
50.0%
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

DeepSeek

DeepSeek R1 Distill Qwen 32B

1 providers

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms
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
DeepSeek

DeepSeek R1 Distill Qwen 32B

+10.3%
Avg Score:74.2%
Providers:1
Alibaba

QwQ-32B-Preview

Avg Score:64.0%
Providers:4