The AI arena is free today

Open Superagent

Gemini 3.7 Flash vs Qwen3 VL 32B Thinking

Gemini 3.7 Flash significantly outperforms across most benchmarks.

Google · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Gemini 3.7 Flash outperforms in 2 benchmarks (CharXiv-R, LVBench), while Qwen3 VL 32B Thinking is better at 0 benchmarks. Gemini 3.7 Flash significantly outperforms across most benchmarks.

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

Choose Gemini 3.7 Flash

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

Choose Qwen3 VL 32B Thinking

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

At a glance

The differences that matter most.

Gemini 3.7 Flash
Google
Qwen3 VL 32B Thinking
Alibaba Cloud / Qwen Team
Benchmark wins
2 of 2
0 of 2
Input price
$0.75 / M
— / M
Output price
$3.75 / M
— / M
Context window
1,048,576
—
Released
Aug 2026
Sep 2025
License
Proprietary
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 3.7 Flash outperforms in 2 benchmarks (CharXiv-R, LVBench), while Qwen3 VL 32B Thinking is better at 0 benchmarks.

Gemini 3.7 Flash significantly outperforms across most benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only Gemini 3.7 Flash specifies input context (1,048,576 tokens). Only Gemini 3.7 Flash specifies output context (65,536 tokens).

Google
Gemini 3.7 Flash
Input1,048,576 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Thinking
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.7 Flash and Qwen3 VL 32B Thinking support multimodal inputs.

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

Gemini 3.7 Flash

Text
Images
Audio
Video

Qwen3 VL 32B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.7 Flash 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 3.7 Flash

Proprietary

Closed source

Qwen3 VL 32B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.7 Flash was released on 2026-08-13, while Qwen3 VL 32B Thinking was released on 2025-09-22.

Gemini 3.7 Flash is 11 months newer than Qwen3 VL 32B Thinking.

Gemini 3.7 Flash

Aug 13, 2026

1 weeks ago

10mo newer
Qwen3 VL 32B Thinking

Sep 22, 2025

11 months ago

Knowledge Cutoff

When training data ends

Gemini 3.7 Flash has a documented knowledge cutoff of 2026-03-31, while Qwen3 VL 32B Thinking's cutoff date is not specified.

We can confirm Gemini 3.7 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Qwen3 VL 32B Thinking's cutoff date.

Gemini 3.7 Flash

Mar 2026

Qwen3 VL 32B Thinking

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.7 Flash and Qwen3 VL 32B Thinking side-by-side, then vote on the output you prefer.

Gemini 3.7 Flash
✓ Preferred
Qwen3 VL 32B Thinking
Open in Playground

FAQ

Common questions about Gemini 3.7 Flash vs Qwen3 VL 32B Thinking.

Which is better, Gemini 3.7 Flash or Qwen3 VL 32B Thinking?

Gemini 3.7 Flash significantly outperforms across most benchmarks. Gemini 3.7 Flash 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 benchmark scores, pricing, and capabilities above.

How does Gemini 3.7 Flash compare to Qwen3 VL 32B Thinking in benchmarks?

Gemini 3.7 Flash scores MRCR v2 (8-needle): 97.0%, Harvey LAB-AA: 90.7%, CharXiv-R: 88.7%, Terminal-Bench 2.1: 85.8%, LVBench: 85.4%. 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 context window sizes for Gemini 3.7 Flash and Qwen3 VL 32B Thinking?

Gemini 3.7 Flash supports 1.0M tokens and Qwen3 VL 32B Thinking 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 3.7 Flash 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 Gemini 3.7 Flash and Qwen3 VL 32B Thinking?

Gemini 3.7 Flash is developed by Google and Qwen3 VL 32B Thinking is developed by Alibaba Cloud / Qwen Team.

Related comparisons