Model Comparison

Qwen3 235B A22B vs QwQ-32BWhich is better in 2026?

Qwen3 235B A22B significantly outperforms across most benchmarks.

Verdict: Qwen3 235B A22B vs QwQ-32B — which is better?

Qwen3 235B A22B (by Alibaba Cloud / Qwen Team) 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.

Qwen3 235B A22B outperforms in 4 benchmarks (AIME 2024, BFCL, LiveBench, LiveCodeBench), while QwQ-32B is better at 1 benchmark (GPQA). Qwen3 235B A22B significantly outperforms across most benchmarks.

Choose Qwen3 235B A22B if…

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025

Choose QwQ-32B if…

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

Comparative analysis across standard metrics

5 benchmarks

Qwen3 235B A22B outperforms in 4 benchmarks (AIME 2024, BFCL, LiveBench, LiveCodeBench), while QwQ-32B is better at 1 benchmark (GPQA).

Qwen3 235B A22B significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

202.5B diff

Qwen3 235B A22B has 202.5B more parameters than QwQ-32B, making it 623.1% larger.

Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
235.0B
Qwen3 235B A22B
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only Qwen3 235B A22B specifies input context (128,000 tokens). Only Qwen3 235B A22B specifies output context (128,000 tokens).

Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Qwen3 235B A22B

Apache 2.0

Open weights

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3 235B A22B was released on 2025-04-29, while QwQ-32B was released on 2025-03-05.

Qwen3 235B A22B is 2 months newer than QwQ-32B.

Qwen3 235B A22B

Apr 29, 2025

1.1 years ago

1mo 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 Qwen3 235B A22B'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 Qwen3 235B A22B's cutoff date.

Qwen3 235B A22B

—

QwQ-32B

Nov 2024

Outputs Comparison

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)
Higher AIME 2024 score (85.7% vs 79.5%)
Higher BFCL score (70.8% vs 66.4%)
Higher LiveBench score (77.1% vs 73.1%)
Higher LiveCodeBench score (70.7% vs 63.4%)
Alibaba Cloud / Qwen Team

QwQ-32B

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (65.2% vs 47.5%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about Qwen3 235B A22B vs QwQ-32B.

Which is better, Qwen3 235B A22B or QwQ-32B?

Qwen3 235B A22B significantly outperforms across most benchmarks. Qwen3 235B A22B is made by Alibaba Cloud / Qwen Team 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 Qwen3 235B A22B compare to QwQ-32B in benchmarks?

Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%. 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 Qwen3 235B A22B and QwQ-32B?

Qwen3 235B A22B supports 128K 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.

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