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Model Comparison

DeepSeek-V3.2-Exp vs Qwen3 VL 32B InstructWhich is better in 2026?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Verdict: DeepSeek-V3.2-Exp vs Qwen3 VL 32B Instruct — which is better?

DeepSeek-V3.2-Exp (by DeepSeek) and Qwen3 VL 32B Instruct (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.

DeepSeek-V3.2-Exp outperforms in 3 benchmarks (AIME 2025, GPQA, MMLU-Pro), while Qwen3 VL 32B Instruct is better at 0 benchmarks. DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Choose DeepSeek-V3.2-Exp 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

Choose Qwen3 VL 32B Instruct if…

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

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3.2-Exp outperforms in 3 benchmarks (AIME 2025, GPQA, MMLU-Pro), while Qwen3 VL 32B Instruct is better at 0 benchmarks.

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks.

Fri Aug 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

652.0B diff

DeepSeek-V3.2-Exp has 652.0B more parameters than Qwen3 VL 32B Instruct, making it 1975.8% larger.

DeepSeek
DeepSeek-V3.2-Exp
685.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
685.0B
DeepSeek-V3.2-Exp
33.0B
Qwen3 VL 32B Instruct

Context Window

Maximum input and output token capacity

Only DeepSeek-V3.2-Exp specifies input context (163,840 tokens). Only DeepSeek-V3.2-Exp specifies output context (65,536 tokens).

DeepSeek
DeepSeek-V3.2-Exp
Input163,840 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Fri Aug 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 32B Instruct supports multimodal inputs, whereas DeepSeek-V3.2-Exp does not.

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

DeepSeek-V3.2-Exp

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Exp is licensed under MIT, while Qwen3 VL 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3.2-Exp

MIT

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.2-Exp was released on 2025-09-29, while Qwen3 VL 32B Instruct was released on 2025-09-22.

DeepSeek-V3.2-Exp is 0 month newer than Qwen3 VL 32B Instruct.

DeepSeek-V3.2-Exp

Sep 29, 2025

10 months ago

1w newer
Qwen3 VL 32B Instruct

Sep 22, 2025

10 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

Key Takeaways

Larger context window (163,840 tokens)
Higher AIME 2025 score (89.3% vs 66.2%)
Higher GPQA score (79.9% vs 68.9%)
Higher MMLU-Pro score (85.0% vs 78.6%)
Alibaba Cloud / Qwen Team

Qwen3 VL 32B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3.2-Exp and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

DeepSeek-V3.2-Exp
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Exp
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct

FAQ

Common questions about DeepSeek-V3.2-Exp vs Qwen3 VL 32B Instruct.

Which is better, DeepSeek-V3.2-Exp or Qwen3 VL 32B Instruct?

DeepSeek-V3.2-Exp significantly outperforms across most benchmarks. DeepSeek-V3.2-Exp is made by DeepSeek and Qwen3 VL 32B Instruct 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 DeepSeek-V3.2-Exp compare to Qwen3 VL 32B Instruct in benchmarks?

DeepSeek-V3.2-Exp scores SimpleQA: 97.1%, AIME 2025: 89.3%, MMLU-Pro: 85.0%, HMMT 2025: 83.6%, GPQA: 79.9%. 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 DeepSeek-V3.2-Exp and Qwen3 VL 32B Instruct?

DeepSeek-V3.2-Exp supports 164K 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 DeepSeek-V3.2-Exp and Qwen3 VL 32B Instruct?

Key differences include multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Exp and Qwen3 VL 32B Instruct?

DeepSeek-V3.2-Exp is developed by DeepSeek and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.