Model Comparison

Gemini 2.0 Flash Thinking vs Qwen3 VL 235B A22B Instruct

Comparing Gemini 2.0 Flash Thinking and Qwen3 VL 235B A22B Instruct across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 2.0 Flash Thinking and Qwen3 VL 235B A22B Instruct don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Qwen3 VL 235B A22B Instruct specifies input context (262,144 tokens). Only Qwen3 VL 235B A22B Instruct specifies output context (262,144 tokens).

Google
Gemini 2.0 Flash Thinking
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Mon May 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash Thinking and Qwen3 VL 235B A22B Instruct 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 235B A22B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash Thinking is licensed under a proprietary license, while Qwen3 VL 235B A22B Instruct 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 235B A22B Instruct

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 235B A22B Instruct was released on 2025-09-22.

Qwen3 VL 235B A22B Instruct is 8 months newer than Gemini 2.0 Flash Thinking.

Gemini 2.0 Flash Thinking

Jan 21, 2025

1.3 years ago

Qwen3 VL 235B A22B Instruct

Sep 22, 2025

8 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 235B A22B Instruct'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 235B A22B Instruct's cutoff date.

Gemini 2.0 Flash Thinking

Aug 2024

Qwen3 VL 235B A22B Instruct

Outputs Comparison

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Key Takeaways

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

Larger context window (262,144 tokens)
Has open weights

Detailed Comparison

FAQ

Common questions about Gemini 2.0 Flash Thinking vs Qwen3 VL 235B A22B Instruct.

Which is better, Gemini 2.0 Flash Thinking or Qwen3 VL 235B A22B Instruct?

Gemini 2.0 Flash Thinking (Google) and Qwen3 VL 235B A22B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 2.0 Flash Thinking compare to Qwen3 VL 235B A22B Instruct in benchmarks?

Gemini 2.0 Flash Thinking scores MMMU: 75.4%, GPQA: 74.2%, AIME 2024: 73.3%. Qwen3 VL 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.

What are the context window sizes for Gemini 2.0 Flash Thinking and Qwen3 VL 235B A22B Instruct?

Gemini 2.0 Flash Thinking supports an unknown number of tokens and Qwen3 VL 235B A22B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 2.0 Flash Thinking and Qwen3 VL 235B A22B Instruct?

Key differences include 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 235B A22B Instruct?

Gemini 2.0 Flash Thinking is developed by Google and Qwen3 VL 235B A22B Instruct is developed by Alibaba Cloud / Qwen Team.