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Gemini 1.5 Pro vs Qwen3 VL 32B Instruct

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 1.5 Pro outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro). Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Gemini 1.5 Pro

  • you want predictable pricing at $2.50/M input and $10.00/M output

Choose Qwen3 VL 32B Instruct

  • 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
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 1.5 Pro
Google
Qwen3 VL 32B Instruct
Alibaba Cloud / Qwen Team
Benchmark wins
0 of 3
3 of 3
Input price
$2.50 / M
— / M
Output price
$10.00 / M
— / M
Context window
2,097,152
—
Released
May 2024
Sep 2025
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 1.5 Pro outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Pro specifies input context (2,097,152 tokens). Only Gemini 1.5 Pro specifies output context (8,192 tokens).

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 Pro and Qwen3 VL 32B Instruct support multimodal inputs.

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

Gemini 1.5 Pro

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 Pro is licensed under a proprietary license, 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.

Gemini 1.5 Pro

Proprietary

Closed source

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 17 months newer than Gemini 1.5 Pro.

Gemini 1.5 Pro

May 1, 2024

2.3 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

11 months ago

1.4yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Qwen3 VL 32B Instruct's cutoff date is not specified.

We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Qwen3 VL 32B Instruct's cutoff date.

Gemini 1.5 Pro

Nov 2023

Qwen3 VL 32B Instruct

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 1.5 Pro and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

Gemini 1.5 Pro
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground

FAQ

Common questions about Gemini 1.5 Pro vs Qwen3 VL 32B Instruct.

Which is better, Gemini 1.5 Pro or Qwen3 VL 32B Instruct?

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks. Gemini 1.5 Pro is made by Google 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 Gemini 1.5 Pro compare to Qwen3 VL 32B Instruct in benchmarks?

Gemini 1.5 Pro scores XSTest: 98.8%, FLEURS: 93.3%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%. 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 Gemini 1.5 Pro and Qwen3 VL 32B Instruct?

Gemini 1.5 Pro supports 2.1M 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 Gemini 1.5 Pro and Qwen3 VL 32B Instruct?

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

Who makes Gemini 1.5 Pro and Qwen3 VL 32B Instruct?

Gemini 1.5 Pro is developed by Google and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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