Model Comparison

Grok-1.5V vs Qwen3 VL 32B ThinkingWhich is better in 2026?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Verdict: Grok-1.5V vs Qwen3 VL 32B Thinking — which is better?

Grok-1.5V (by xAI) 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.

Grok-1.5V outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 2 benchmarks (AI2D, RealWorldQA). Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Choose Grok-1.5V if…

  • you are already invested in the xAI ecosystem

Choose Qwen3 VL 32B Thinking if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Grok-1.5V outperforms in 0 benchmarks, while Qwen3 VL 32B Thinking is better at 2 benchmarks (AI2D, RealWorldQA).

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks.

Sat Jul 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Input Capabilities

Supported data types and modalities

Both Grok-1.5V and Qwen3 VL 32B Thinking support multimodal inputs.

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

Grok-1.5V

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Grok-1.5V is licensed under a proprietary license, while Qwen3 VL 32B Thinking uses Apache 2.0.

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

Grok-1.5V

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Grok-1.5V was released on 2024-04-12, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 18 months newer than Grok-1.5V.

Grok-1.5V

Apr 12, 2024

2.3 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

10 months ago

1.4yr 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

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

Alibaba Cloud / Qwen Team

Qwen3 VL 32B Thinking

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher AI2D score (88.9% vs 88.3%)
Higher RealWorldQA score (78.4% vs 68.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Grok-1.5V and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

Grok-1.5V
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground
AI Model Comparison Table
Feature
xAI
Grok-1.5V
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking

FAQ

Common questions about Grok-1.5V vs Qwen3 VL 32B Thinking.

Which is better, Grok-1.5V or Qwen3 VL 32B Thinking?

Qwen3 VL 32B Thinking significantly outperforms across most benchmarks. Grok-1.5V is made by xAI 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 Grok-1.5V compare to Qwen3 VL 32B Thinking in benchmarks?

Grok-1.5V scores AI2D: 88.3%, DocVQA: 85.6%, TextVQA: 78.1%, ChartQA: 76.1%, RealWorldQA: 68.7%. 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 main differences between Grok-1.5V and Qwen3 VL 32B Thinking?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-1.5V and Qwen3 VL 32B Thinking?

Grok-1.5V is developed by xAI and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.