Model Comparison

Qwen3 30B A3B vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Verdict: Qwen3 30B A3B vs Qwen3 VL 32B Thinking — which is better?

Qwen3 30B A3B (by Alibaba Cloud / Qwen Team) and Qwen3 VL 32B Thinking (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Qwen3 30B A3B outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 3 benchmarks (AIME 2025, GPQA, Multi-IF). Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Choose Qwen3 30B A3B if…

  • you want predictable pricing at $0.10/M input and $0.30/M output

Choose Qwen3 VL 32B Thinking if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Qwen3 30B A3B outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 3 benchmarks (AIME 2025, GPQA, Multi-IF).

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

2.5B diff

Qwen3 VL 32B Thinking has 2.5B more parameters than Qwen3 30B A3B, making it 8.2% larger.

Alibaba Cloud / Qwen Team
Qwen3 30B A3B
30.5Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
30.5B
Qwen3 30B A3B
33.0B
Qwen3 VL 32B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 30B A3B specifies input context (128,000 tokens). Only Qwen3 30B A3B specifies output context (128,000 tokens).

Alibaba Cloud / Qwen Team
Qwen3 30B A3B
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Thinking supports multimodal inputs, whereas Qwen3 30B A3B does not.

Qwen3 VL 32B Thinking can handle both text and other forms of data like images, making it suitable for multimodal applications.

Qwen3 30B A3B

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

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 30B A3B

Apache 2.0

Open weights

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3 30B A3B 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 30B A3B.

Qwen3 30B A3B

Apr 29, 2025

1.1 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

8 months ago

4mo 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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3 30B A3B

View details

Alibaba Cloud / Qwen Team

Larger context window (128,000 tokens)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs
Higher AIME 2025 score (83.7% vs 70.9%)
Higher GPQA score (73.1% vs 65.8%)
Higher Multi-IF score (78.0% vs 72.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking

FAQ

Common questions about Qwen3 30B A3B vs Qwen3 VL 32B Thinking.

Which is better, Qwen3 30B A3B or Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks. Qwen3 30B A3B is made by Alibaba Cloud / Qwen Team and Qwen3 VL 32B Thinking 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 30B A3B compare to Qwen3 VL 32B Thinking in benchmarks?

Qwen3 30B A3B scores Arena Hard: 91.0%, AIME 2024: 80.4%, LiveBench: 74.3%, Multi-IF: 72.2%, AIME 2025: 70.9%. Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%.

What are the context window sizes for Qwen3 30B A3B and Qwen3 VL 32B Thinking?

Qwen3 30B A3B supports 128K tokens and Qwen3 VL 32B Thinking 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 30B A3B and Qwen3 VL 32B Thinking?

Key differences include multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.