Model Comparison

DeepSeek-R1-0528 vs QwQ-32BWhich is better in 2026?

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Verdict: DeepSeek-R1-0528 vs QwQ-32B — which is better?

DeepSeek-R1-0528 (by DeepSeek) and QwQ-32B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

DeepSeek-R1-0528 outperforms in 3 benchmarks (AIME 2024, GPQA, LiveCodeBench), while QwQ-32B is better at 0 benchmarks. DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Choose DeepSeek-R1-0528 if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped May 2025

Choose QwQ-32B if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-R1-0528 outperforms in 3 benchmarks (AIME 2024, GPQA, LiveCodeBench), while QwQ-32B is better at 0 benchmarks.

DeepSeek-R1-0528 significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

638.5B diff

DeepSeek-R1-0528 has 638.5B more parameters than QwQ-32B, making it 1964.6% larger.

DeepSeek
DeepSeek-R1-0528
671.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
671.0B
DeepSeek-R1-0528
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only DeepSeek-R1-0528 specifies input context (131,072 tokens). Only DeepSeek-R1-0528 specifies output context (131,072 tokens).

DeepSeek
DeepSeek-R1-0528
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1-0528 is licensed under MIT, while QwQ-32B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-R1-0528

MIT

Open weights

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1-0528 was released on 2025-05-28, while QwQ-32B was released on 2025-03-05.

DeepSeek-R1-0528 is 3 months newer than QwQ-32B.

DeepSeek-R1-0528

May 28, 2025

1.0 years ago

2mo newer
QwQ-32B

Mar 5, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while DeepSeek-R1-0528's cutoff date is not specified.

We can confirm QwQ-32B's training data extends to 2024-11-28, but cannot make a direct comparison without DeepSeek-R1-0528's cutoff date.

DeepSeek-R1-0528

QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (131,072 tokens)
Higher AIME 2024 score (91.4% vs 79.5%)
Higher GPQA score (81.0% vs 65.2%)
Higher LiveCodeBench score (73.3% vs 63.4%)
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1-0528
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about DeepSeek-R1-0528 vs QwQ-32B.

Which is better, DeepSeek-R1-0528 or QwQ-32B?

DeepSeek-R1-0528 significantly outperforms across most benchmarks. DeepSeek-R1-0528 is made by DeepSeek and QwQ-32B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-R1-0528 compare to QwQ-32B in benchmarks?

DeepSeek-R1-0528 scores MMLU-Redux: 93.4%, SimpleQA: 92.3%, AIME 2024: 91.4%, AIME 2025: 87.5%, MMLU-Pro: 85.0%. QwQ-32B scores MATH-500: 90.6%, IFEval: 83.9%, AIME 2024: 79.5%, LiveBench: 73.1%, BFCL: 66.4%.

What are the context window sizes for DeepSeek-R1-0528 and QwQ-32B?

DeepSeek-R1-0528 supports 131K tokens and QwQ-32B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-R1-0528 and QwQ-32B?

Key differences include licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-R1-0528 and QwQ-32B?

DeepSeek-R1-0528 is developed by DeepSeek and QwQ-32B is developed by Alibaba Cloud / Qwen Team.