Qwen3 235B A22B vs Qwen3 VL 32B Thinking
Qwen3 VL 32B Thinking leads the LLM Stats Score 23.6 to 15.6.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3 VL 32B Thinking leads the overall LLM Stats Score 23.6 to 15.6, ranking #174 overall.
In the 7 individual benchmarks reported for both models, Qwen3 VL 32B Thinking wins 7; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Qwen3 235B A22B
- you want predictable pricing at $0.10/M input and $0.10/M output
Choose Qwen3 VL 32B Thinking
- overall performance matters — it scores 23.6 and ranks #174 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 7 of 7 exact shared results
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
23 reported for Qwen3 235B A22B · 47 for Qwen3 VL 32B Thinking
Qwen3 235B A22B outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 7 benchmarks (AIME 2025, GPQA, Include, MMLU, MMLU-Pro, MMLU-Redux, SuperGPQA).
Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen3 235B A22B has 202.0B more parameters than Qwen3 VL 32B Thinking, making it 612.1% larger.
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).
Input capabilities
Documented input modalities across available providers
Qwen3 VL 32B Thinking supports multimodal inputs, whereas Qwen3 235B A22B does not.
Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3 235B A22B
Qwen3 VL 32B Thinking
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 235B A22B was released on 2025-04-29, while Qwen3 VL 32B Thinking was released on 2025-09-22.
Qwen3 VL 32B Thinking is 5 months newer than Qwen3 235B A22B.
Apr 29, 2025
1.4 years ago
Sep 22, 2025
12 months ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen3 235B A22B and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3 235B A22B vs Qwen3 VL 32B Thinking.