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Gemini 2.0 Flash Thinking vs Qwen3 VL 32B Thinking

Gemini 2.0 Flash Thinking and Qwen3 VL 32B Thinking are closely matched at 16.7 and 23.6 on the LLM Stats Score.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 2.0 Flash Thinking and Qwen3 VL 32B Thinking are closely matched on the overall LLM Stats Score at 16.7 and 23.6.

In the 1 individual benchmarks reported for both models, Gemini 2.0 Flash Thinking wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 2.0 Flash Thinking

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose Qwen3 VL 32B Thinking

  • 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 2.0 Flash Thinking
Google
Qwen3 VL 32B Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
16.7
#219
23.6
#174
Reasoning
17.0
#212
24.7
#154
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

3 reported for Gemini 2.0 Flash Thinking · 47 for Qwen3 VL 32B Thinking

1 shared

Gemini 2.0 Flash Thinking outperforms in 1 benchmarks (GPQA), while Qwen3 VL 32B Thinking is better at 0 benchmarks.

Gemini 2.0 Flash Thinking significantly outperforms across most benchmarks.

Sun Sep 20 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Input capabilities

Documented input modalities across available providers

Both Gemini 2.0 Flash Thinking and Qwen3 VL 32B Thinking support multimodal inputs.

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

Gemini 2.0 Flash Thinking

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking 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.

Gemini 2.0 Flash Thinking

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash Thinking was released on 2025-01-21, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Qwen3 VL 32B Thinking is 8 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.7 years ago

Qwen3 VL 32B Thinking

Sep 22, 2025

12 months ago

8mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash Thinking has a documented knowledge cutoff of 2024-08-01, while Qwen3 VL 32B Thinking's cutoff date is not specified.

We can confirm Gemini 2.0 Flash Thinking's training data extends to 2024-08-01, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Qwen3 VL 32B Thinking

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 2.0 Flash Thinking and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

Gemini 2.0 Flash Thinking
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Qwen3 VL 32B Thinking.

Which is better, Gemini 2.0 Flash Thinking or Qwen3 VL 32B Thinking?

Gemini 2.0 Flash Thinking and Qwen3 VL 32B Thinking are closely matched on the LLM Stats Score at 16.7 and 23.6. Gemini 2.0 Flash Thinking is made by Google and Qwen3 VL 32B Thinking is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 2.0 Flash Thinking compare to Qwen3 VL 32B Thinking in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. 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 Gemini 2.0 Flash Thinking and Qwen3 VL 32B Thinking?

Key differences include LLM Stats Score (16.7 vs 23.6), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 2.0 Flash Thinking and Qwen3 VL 32B Thinking?

Gemini 2.0 Flash Thinking is developed by Google and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

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