Model Comparison

Qwen3 VL 32B Thinking vs Qwen3.5-0.8BWhich is better in 2026?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Verdict: Qwen3 VL 32B Thinking vs Qwen3.5-0.8B — which is better?

Qwen3 VL 32B Thinking (by Alibaba Cloud / Qwen Team) and Qwen3.5-0.8B (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 VL 32B Thinking outperforms in 8 benchmarks (GPQA, IFEval, Include, MMLU-Pro, MMLU-ProX, MMLU-Redux, PolyMATH, SuperGPQA), while Qwen3.5-0.8B is better at 0 benchmarks. Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Choose Qwen3 VL 32B Thinking if…

  • you want the strongest raw capability — it leads on 8 of 8 shared benchmarks

Choose Qwen3.5-0.8B if…

  • you want the most recent training data — it shipped Mar 2026

Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Qwen3 VL 32B Thinking outperforms in 8 benchmarks (GPQA, IFEval, Include, MMLU-Pro, MMLU-ProX, MMLU-Redux, PolyMATH, SuperGPQA), while Qwen3.5-0.8B is better at 0 benchmarks.

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Wed Jul 22 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

32.2B diff

Qwen3 VL 32B Thinking has 32.2B more parameters than Qwen3.5-0.8B, making it 4025.0% larger.

Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
33.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-0.8B
800,000,000parameters
33.0B
Qwen3 VL 32B Thinking
0.8B
Qwen3.5-0.8B

Input Capabilities

Supported data types and modalities

Both Qwen3 VL 32B Thinking and Qwen3.5-0.8B support multimodal inputs.

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

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

Qwen3.5-0.8B

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 32B Thinking

Apache 2.0

Open weights

Qwen3.5-0.8B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Qwen3 VL 32B Thinking was released on 2025-09-22, while Qwen3.5-0.8B was released on 2026-03-02.

Qwen3.5-0.8B is 5 months newer than Qwen3 VL 32B Thinking.

Qwen3 VL 32B Thinking

Sep 22, 2025

10 months ago

Qwen3.5-0.8B

Mar 2, 2026

4 months ago

5mo 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 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (73.1% vs 11.9%)
Higher IFEval score (87.8% vs 44.0%)
Higher Include score (76.3% vs 40.6%)
Higher MMLU-Pro score (82.1% vs 42.3%)
Higher MMLU-ProX score (77.2% vs 34.6%)
Higher MMLU-Redux score (91.9% vs 59.5%)
Higher PolyMATH score (52.0% vs 8.2%)
Higher SuperGPQA score (59.0% vs 21.3%)
Alibaba Cloud / Qwen Team

Qwen3.5-0.8B

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3 VL 32B Thinking and Qwen3.5-0.8B side-by-side, then vote on the output you prefer.

Qwen3 VL 32B Thinking
✓ Preferred
Qwen3.5-0.8B
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Alibaba Cloud / Qwen Team
Qwen3.5-0.8B

FAQ

Common questions about Qwen3 VL 32B Thinking vs Qwen3.5-0.8B.

Which is better, Qwen3 VL 32B Thinking or Qwen3.5-0.8B?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks. Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team and Qwen3.5-0.8B 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 VL 32B Thinking compare to Qwen3.5-0.8B in benchmarks?

Qwen3 VL 32B Thinking scores DocVQAtest: 96.1%, ScreenSpot: 95.7%, MMLU-Redux: 91.9%, MMBench-V1.1: 90.8%, CharXiv-D: 90.2%. Qwen3.5-0.8B scores MMLU-Redux: 59.5%, Global PIQA: 59.4%, C-Eval: 50.5%, MMMLU: 44.3%, IFEval: 44.0%.