Model Comparison
Qwen3.7 Max vs Gemini 3.5 FlashWhich is better in 2026?
Gemini 3.5 Flash shows notably better performance in the majority of benchmarks. Qwen3.7 Max is 1.8x cheaper per token.
Verdict: Qwen3.7 Max vs Gemini 3.5 Flash — which is better?
Qwen3.7 Max (by Alibaba Cloud / Qwen Team) and Gemini 3.5 Flash (by Google) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Qwen3.7 Max outperforms in 2 benchmarks (Humanity's Last Exam, SWE-Bench Pro), while Gemini 3.5 Flash is better at 5 benchmarks (Finance Agent v2, GDPval-AA, LiveBench, MCP Atlas, Terminal-Bench 2.0). Gemini 3.5 Flash shows notably better performance in the majority of benchmarks.
On price, Qwen3.7 Max is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.5 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Qwen3.7 Max if…
- cost matters — it's about 1.8x cheaper per token
Choose Gemini 3.5 Flash if…
- you want the strongest raw capability — it leads on 5 of 7 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Qwen3.7 Max outperforms in 2 benchmarks (Humanity's Last Exam, SWE-Bench Pro), while Gemini 3.5 Flash is better at 5 benchmarks (Finance Agent v2, GDPval-AA, LiveBench, MCP Atlas, Terminal-Bench 2.0).
Gemini 3.5 Flash shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.7 Max ($1.25/1M tokens) is 1.2x cheaper than Gemini 3.5 Flash ($1.50/1M tokens).
For output processing, Qwen3.7 Max ($3.75/1M tokens) is 2.4x cheaper than Gemini 3.5 Flash ($9.00/1M tokens).
In conclusion, Gemini 3.5 Flash is more expensive than Qwen3.7 Max.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.5 Flash accepts 1,048,576 input tokens compared to Qwen3.7 Max's 1,000,000 tokens. Both models can generate responses up to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3.5 Flash supports multimodal inputs, whereas Qwen3.7 Max does not.
Gemini 3.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.7 Max
Gemini 3.5 Flash
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Both models were released on 2026-05-19.
They likely represent similar generations of model development.
May 19, 2026
1 months ago
May 19, 2026
1 months ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash has a documented knowledge cutoff of 2026-01-31, while Qwen3.7 Max's cutoff date is not specified.
We can confirm Gemini 3.5 Flash's training data extends to 2026-01-31, but cannot make a direct comparison without Qwen3.7 Max's cutoff date.
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Jan 2026
Provider Availability
Qwen3.7 Max is available from Novita, Together. Gemini 3.5 Flash is available from Google.
Qwen3.7 Max
Gemini 3.5 Flash
Outputs Comparison
Key Takeaways
Qwen3.7 Max
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Qwen3.7 Max and Gemini 3.5 Flash side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Qwen3.7 Max vs Gemini 3.5 Flash.