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Qwen3 VL 235B A22B Instruct vs Qwen3 VL 32B Instruct

Qwen3 VL 235B A22B Instruct leads the LLM Stats Score 24.7 to 20.3.

Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 235B A22B Instruct leads the overall LLM Stats Score 24.7 to 20.3, ranking #161 overall.

In the 39 individual benchmarks reported for both models, Qwen3 VL 235B A22B Instruct wins 33; 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 VL 235B A22B Instruct

  • overall performance matters — it scores 24.7 and ranks #161 on LLM Stats
  • you value its reported benchmark strengths — it wins 33 of 39 exact shared results

Choose Qwen3 VL 32B Instruct

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

At a glance

The differences that matter most.

Core performance indexes
24.7
#161
20.3
#194
22.5
#169
19.2
#200
12.7
#99
9.6
#122
Cost, coverage & limits
Benchmark wins
33 of 39
6 of 39
Input price
$0.20 / M
— / M
Output price
$0.88 / M
— / M
Context window
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

6 shared
Index
Qwen3 VL 235B A22B Instruct
Qwen3 VL 32B Instruct
23.8#124
19.5#167
17.9#81
14.9#90
16.3#39
11.4#67
20.6#65
17.4#77
25.9#54
21.7#75
1 more shared indexes
27.0#29
20.7#66
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

50 reported for Qwen3 VL 235B A22B Instruct · 45 for Qwen3 VL 32B Instruct

39 shared

Qwen3 VL 235B A22B Instruct outperforms in 33 benchmarks (AI2D, AIME 2025, Arena-Hard v2, BLINK, CC-OCR, CharadesSTA, Creative Writing v3, DocVQAtest, ERQA, IFEval, Include, InfoVQAtest, LiveBench 20241125, LiveCodeBench v6, LVBench, MathVision, MathVista-Mini, MMLU, MMLU-Pro, MMLU-ProX, MMLU-Redux, MM-MT-Bench, MMMU-Pro, MMStar, Multi-IF, OCRBench, OCRBench-V2 (zh), ODinW, OSWorld, RealWorldQA, ScreenSpot Pro, SuperGPQA, WritingBench), while Qwen3 VL 32B Instruct is better at 5 benchmarks (BFCL-v3, CharXiv-R, Hallusion Bench, OCRBench-V2 (en), ScreenSpot).

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

Sun Sep 13 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

203.0B diff

Qwen3 VL 235B A22B Instruct has 203.0B more parameters than Qwen3 VL 32B Instruct, making it 615.2% larger.

Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
236.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
236.0B
Qwen3 VL 235B A22B Instruct
33.0B
Qwen3 VL 32B Instruct

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Instruct specifies output context (262,144 tokens).

Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Sun Sep 13 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Qwen3 VL 235B A22B Instruct and Qwen3 VL 32B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Qwen3 VL 235B A22B Instruct

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

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 VL 235B A22B Instruct

Apache 2.0

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Both models were released on 2025-09-22.

They likely represent similar generations of model development.

Qwen3 VL 235B A22B Instruct

Sep 22, 2025

11 months ago

Qwen3 VL 32B Instruct

Sep 22, 2025

11 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Qwen3 VL 235B A22B Instruct and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

Qwen3 VL 235B A22B Instruct
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground

FAQ

Common questions about Qwen3 VL 235B A22B Instruct vs Qwen3 VL 32B Instruct.

Which is better, Qwen3 VL 235B A22B Instruct or Qwen3 VL 32B Instruct?

Qwen3 VL 235B A22B Instruct leads the LLM Stats Score 24.7 to 20.3. Qwen3 VL 235B A22B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Qwen3 VL 235B A22B Instruct compare to Qwen3 VL 32B Instruct in benchmarks?

Qwen3 VL 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for Qwen3 VL 235B A22B Instruct and Qwen3 VL 32B Instruct?

Qwen3 VL 235B A22B Instruct supports 262K tokens and Qwen3 VL 32B Instruct 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 Qwen3 VL 235B A22B Instruct and Qwen3 VL 32B Instruct?

Key differences include LLM Stats Score (24.7 vs 20.3). See the full comparison above for benchmark-by-benchmark results.