Gemini 3.7 Flash vs Qwen3 VL 235B A22B Thinking
Gemini 3.7 Flash significantly outperforms across most benchmarks. Qwen3 VL 235B A22B Thinking is 1.2x cheaper per token.
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 235B A22B Thinking is better at 0 benchmarks. Gemini 3.7 Flash significantly outperforms across most benchmarks.
On price, Qwen3 VL 235B A22B Thinking is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.7 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
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 process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Qwen3 VL 235B A22B Thinking
- cost matters — it's about 1.2x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.7 Flash outperforms in 2 benchmarks (CharXiv-R, LVBench), while Qwen3 VL 235B A22B Thinking is better at 0 benchmarks.
Gemini 3.7 Flash significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.7 Flash ($0.75/1M tokens) is 1.7x more expensive than Qwen3 VL 235B A22B Thinking ($0.45/1M tokens).
For output processing, Gemini 3.7 Flash ($3.75/1M tokens) is 1.1x more expensive than Qwen3 VL 235B A22B Thinking ($3.49/1M tokens).
In conclusion, Gemini 3.7 Flash is more expensive than Qwen3 VL 235B A22B Thinking.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.7 Flash accepts 1,048,576 input tokens compared to Qwen3 VL 235B A22B Thinking's 262,144 tokens. Qwen3 VL 235B A22B Thinking can generate longer responses up to 262,144 tokens, while Gemini 3.7 Flash is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.7 Flash and Qwen3 VL 235B A22B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.7 Flash
Qwen3 VL 235B A22B Thinking
License
Usage and distribution terms
Gemini 3.7 Flash is licensed under a proprietary license, while Qwen3 VL 235B A22B Thinking uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
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 235B A22B Thinking was released on 2025-09-22.
Gemini 3.7 Flash is 11 months newer than Qwen3 VL 235B A22B Thinking.
Aug 13, 2026
1 weeks ago
10mo newerSep 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 235B A22B 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 235B A22B Thinking's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.7 Flash is available from Google. Qwen3 VL 235B A22B Thinking is available from DeepInfra, Novita.
Gemini 3.7 Flash
Qwen3 VL 235B A22B Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.7 Flash and Qwen3 VL 235B A22B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.7 Flash vs Qwen3 VL 235B A22B Thinking.