Model Comparison

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

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

QwQ-32B

Alibaba

QwQ-32B is a language model developed by Alibaba. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

DeepSeek-V3

DeepSeek

2024-12-25

QwQ-32B

Alibaba

2025-03-05

2 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3

Larger context

Max Context:262.1K

Parameters:671.0B

QwQ-32B

Max Context:-

Parameters:32.5B

Average performance across 5 common benchmarks

DeepSeek-V3

Average Score:62.4%

QwQ-32B

+14.1%

Average Score:76.5%

Performance comparison across key benchmark categories

DeepSeek-V3

math

90.2%

code

73.2%

general

65.1%

QwQ-32B

math

+0.4%

90.6%

code

+0.5%

73.6%

general

+5.2%

70.4%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Knowledge Cutoff

Training data recency comparison

QwQ-32B

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

1 providers

DeepSeek

Throughput: 100 tok/s

Latency: 0.5ms

QwQ-32B

0 providers

DeepSeek-V3

Avg Score:62.4%

Providers:1

QwQ-32B

+14.1%

Avg Score:76.5%

Providers:0