Model Comparison

Qwen2.5 VL 32B Instruct vs Qwen3 235B A22B

Qwen2.5 VL 32B Instruct has a slight edge in benchmark performance.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Qwen2.5 VL 32B Instruct outperforms in 3 benchmarks (MATH, MBPP, MMLU-Pro), while Qwen3 235B A22B is better at 2 benchmarks (GPQA, MMLU).

Qwen2.5 VL 32B Instruct has a slight edge in benchmark performance.

Thu Apr 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input tokens$0.10
Output tokens$0.10
Best providerFireworks
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Model Size

Parameter count comparison

201.5B diff

Qwen3 235B A22B has 201.5B more parameters than Qwen2.5 VL 32B Instruct, making it 601.5% larger.

Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
33.5Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
33.5B
Qwen2.5 VL 32B Instruct
235.0B
Qwen3 235B A22B

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
Qwen2.5 VL 32B Instruct
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 32B Instruct supports multimodal inputs, whereas Qwen3 235B A22B does not.

Qwen2.5 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen2.5 VL 32B Instruct

Text
Images
Audio
Video

Qwen3 235B A22B

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.

Qwen2.5 VL 32B Instruct

Apache 2.0

Open weights

Qwen3 235B A22B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen2.5 VL 32B Instruct was released on 2025-02-28, while Qwen3 235B A22B was released on 2025-04-29.

Qwen3 235B A22B is 2 months newer than Qwen2.5 VL 32B Instruct.

Qwen2.5 VL 32B Instruct

Feb 28, 2025

1.1 years ago

Qwen3 235B A22B

Apr 29, 2025

11 months ago

2mo newer

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

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Key Takeaways

Alibaba Cloud / Qwen Team

Qwen2.5 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher MATH score (82.2% vs 71.8%)
Higher MBPP score (84.0% vs 81.4%)
Higher MMLU-Pro score (68.8% vs 68.2%)
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)
Higher GPQA score (47.5% vs 46.0%)
Higher MMLU score (87.8% vs 78.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
Qwen3 235B A22B

FAQ

Common questions about Qwen2.5 VL 32B Instruct vs Qwen3 235B A22B

Qwen2.5 VL 32B Instruct has a slight edge in benchmark performance. Qwen2.5 VL 32B Instruct is made by Alibaba Cloud / Qwen Team and Qwen3 235B A22B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Qwen2.5 VL 32B Instruct scores DocVQA: 94.8%, Android Control Low_EM: 93.3%, HumanEval: 91.5%, ScreenSpot: 88.5%, MBPP: 84.0%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.
Qwen2.5 VL 32B Instruct supports an unknown number of tokens and Qwen3 235B A22B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.