Model Comparison

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

DeepSeek-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

QwQ-32B-Preview

Alibaba Cloud / Qwen Team

QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. 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 Cloud / Qwen Team's latest advancement in AI technology.

QwQ-32B-Preview

Alibaba Cloud / Qwen Team

2024-11-28

DeepSeek-V3.2-Exp

DeepSeek

2025-09-29

10 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek-V3.2-Exp

Input:$0.27

Output:$0.41

QwQ-32B-Preview

$0.33 cheaper

Input:$0.15

Output:$0.20

Performance Metrics

Context window and performance specifications

DeepSeek-V3.2-Exp

Larger context

Max Context:229.4K

Parameters:685.0B

QwQ-32B-Preview

Max Context:65.5K

Parameters:32.5B

Average performance across 16 common benchmarks

DeepSeek-V3.2-Exp

+41.9%

Average Score:57.8%

QwQ-32B-Preview

Average Score:16.0%

Performance comparison across key benchmark categories

DeepSeek-V3.2-Exp

math

86.5%

code

+14.3%

64.3%

general

+4.5%

62.1%

QwQ-32B-Preview

math

+4.2%

90.6%

code

50.0%

general

57.6%

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-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s

Latency: 0.7ms

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-V3.2-Exp

+41.9%

Avg Score:57.8%

Providers:2

QwQ-32B-Preview

Avg Score:16.0%

Providers:4