Model Comparison

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

DeepSeek-R1-0528

DeepSeek

DeepSeek-R1-0528 is a language model developed by DeepSeek. It achieves strong performance with an average score of 68.1% across 16 benchmarks. It excels particularly in MMLU-Redux (93.4%), AIME 2024 (91.4%), AIME 2025 (87.5%). It supports a 262K token context window for handling large documents. The model is available through 3 API providers. Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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.

QwQ-32B-Preview

Alibaba

2024-11-28

DeepSeek-R1-0528

DeepSeek

2025-05-28

6 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek-R1-0528

Input:$0.50

Output:$2.15

QwQ-32B-Preview

$2.30 cheaper

Input:$0.15

Output:$0.20

Performance Metrics

Context window and performance specifications

DeepSeek-R1-0528

Larger context

Max Context:262.1K

Parameters:671.0B

QwQ-32B-Preview

Max Context:65.5K

Parameters:32.5B

Average performance across 3 common benchmarks

DeepSeek-R1-0528

+26.8%

Average Score:81.9%

QwQ-32B-Preview

Average Score:55.1%

Performance comparison across key benchmark categories

DeepSeek-R1-0528

code

+23.3%

73.3%

general

+11.6%

69.2%

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

DeepSeek-R1-0528

3 providers

DeepInfra

Throughput: 45.04 tok/s

Latency: 0.61ms

Novita

Throughput: 37.96 tok/s

Latency: 1.18ms

DeepSeek

Throughput: 9 tok/s

Latency: 0.3ms

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-R1-0528

+26.8%

Avg Score:81.9%

Providers:3

QwQ-32B-Preview

Avg Score:55.1%

Providers:4