Model Comparison

Qwen3-235B-A22B-Thinking-2507 vs QwQ-32B

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Qwen3-235B-A22B-Thinking-2507 outperforms in 2 benchmarks (GPQA, IFEval), while QwQ-32B is better at 0 benchmarks.

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Fri May 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

202.5B diff

Qwen3-235B-A22B-Thinking-2507 has 202.5B more parameters than QwQ-32B, making it 623.1% larger.

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
Alibaba Cloud / Qwen Team
QwQ-32B
32.5Bparameters
235.0B
Qwen3-235B-A22B-Thinking-2507
32.5B
QwQ-32B

Context Window

Maximum input and output token capacity

Only Qwen3-235B-A22B-Thinking-2507 specifies input context (262,144 tokens). Only Qwen3-235B-A22B-Thinking-2507 specifies output context (131,072 tokens).

Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
QwQ-32B
Input- tokens
Output- tokens
Fri May 29 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-Thinking-2507

Apache 2.0

Open weights

QwQ-32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25, while QwQ-32B was released on 2025-03-05.

Qwen3-235B-A22B-Thinking-2507 is 5 months newer than QwQ-32B.

Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

10 months ago

4mo newer
QwQ-32B

Mar 5, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

QwQ-32B has a documented knowledge cutoff of 2024-11-28, while Qwen3-235B-A22B-Thinking-2507'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-Thinking-2507's cutoff date.

Qwen3-235B-A22B-Thinking-2507

QwQ-32B

Nov 2024

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (262,144 tokens)
Higher GPQA score (81.1% vs 65.2%)
Higher IFEval score (87.8% vs 83.9%)
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
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
QwQ-32B

FAQ

Common questions about Qwen3-235B-A22B-Thinking-2507 vs QwQ-32B.

Which is better, Qwen3-235B-A22B-Thinking-2507 or QwQ-32B?

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Qwen3-235B-A22B-Thinking-2507 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-Thinking-2507 compare to QwQ-32B in benchmarks?

Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%. 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-Thinking-2507 and QwQ-32B?

Qwen3-235B-A22B-Thinking-2507 supports 262K 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.