Qwen3 VL 235B A22B Thinking vs QwQ-32B-Preview
Comparing Qwen3 VL 235B A22B Thinking and QwQ-32B-Preview across benchmarks, pricing, and capabilities.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 235B A22B Thinking and QwQ-32B-Preview trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, QwQ-32B-Preview is roughly 7.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3 VL 235B A22B Thinking also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Qwen3 VL 235B A22B Thinking
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Sep 2025
Choose QwQ-32B-Preview
- cost matters — it's about 7.4x cheaper per token
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3 VL 235B A22B Thinking and QwQ-32B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3 VL 235B A22B Thinking ($0.45/1M tokens) is 3.0x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, Qwen3 VL 235B A22B Thinking ($3.49/1M tokens) is 17.4x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, Qwen3 VL 235B A22B Thinking is more expensive than QwQ-32B-Preview.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3 VL 235B A22B Thinking has 203.5B more parameters than QwQ-32B-Preview, making it 626.2% larger.
Context Window
Maximum input and output token capacity
Qwen3 VL 235B A22B Thinking accepts 262,144 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Qwen3 VL 235B A22B Thinking can generate longer responses up to 262,144 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Qwen3 VL 235B A22B Thinking supports multimodal inputs, whereas QwQ-32B-Preview does not.
Qwen3 VL 235B A22B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3 VL 235B A22B Thinking
QwQ-32B-Preview
License
Usage and distribution terms
Both models are licensed under Apache 2.0.
Both models share the same licensing terms, providing consistent usage rights.
Apache 2.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Qwen3 VL 235B A22B Thinking was released on 2025-09-22, while QwQ-32B-Preview was released on 2024-11-28.
Qwen3 VL 235B A22B Thinking is 10 months newer than QwQ-32B-Preview.
Sep 22, 2025
11 months ago
9mo newerNov 28, 2024
1.7 years ago
Knowledge Cutoff
When training data ends
QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Qwen3 VL 235B A22B Thinking's cutoff date is not specified.
We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Qwen3 VL 235B A22B Thinking's cutoff date.
—
Nov 2024
Provider Availability
Qwen3 VL 235B A22B Thinking is available from DeepInfra, Novita. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
Qwen3 VL 235B A22B Thinking
QwQ-32B-Preview
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen3 VL 235B A22B Thinking and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3 VL 235B A22B Thinking vs QwQ-32B-Preview.