Model Comparison
Gemini 3.5 Flash-Lite vs Qwen3.5-397B-A17BWhich is better in 2026?
Gemini 3.5 Flash-Lite significantly outperforms across most benchmarks. Gemini 3.5 Flash-Lite is 1.6x cheaper per token.
Verdict: Gemini 3.5 Flash-Lite vs Qwen3.5-397B-A17B — which is better?
Gemini 3.5 Flash-Lite (by Google) and Qwen3.5-397B-A17B (by Alibaba Cloud / Qwen Team) 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.
Gemini 3.5 Flash-Lite outperforms in 1 benchmarks (GDPval-AA), while Qwen3.5-397B-A17B is better at 0 benchmarks. Gemini 3.5 Flash-Lite significantly outperforms across most benchmarks.
On price, Gemini 3.5 Flash-Lite is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.5 Flash-Lite also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 3.5 Flash-Lite if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 1.6x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose Qwen3.5-397B-A17B if…
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.5 Flash-Lite outperforms in 1 benchmarks (GDPval-AA), while Qwen3.5-397B-A17B is better at 0 benchmarks.
Gemini 3.5 Flash-Lite significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 2.0x cheaper than Qwen3.5-397B-A17B ($0.60/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 1.4x cheaper than Qwen3.5-397B-A17B ($3.60/1M tokens).
In conclusion, Qwen3.5-397B-A17B is more expensive than Gemini 3.5 Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.5 Flash-Lite accepts 1,048,576 input tokens compared to Qwen3.5-397B-A17B's 262,144 tokens. Gemini 3.5 Flash-Lite can generate longer responses up to 65,536 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.5 Flash-Lite and Qwen3.5-397B-A17B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.5 Flash-Lite
Qwen3.5-397B-A17B
License
Usage and distribution terms
Gemini 3.5 Flash-Lite is licensed under a proprietary license, while Qwen3.5-397B-A17B 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 3.5 Flash-Lite was released on 2026-07-21, while Qwen3.5-397B-A17B was released on 2026-02-16.
Gemini 3.5 Flash-Lite is 5 months newer than Qwen3.5-397B-A17B.
Jul 21, 2026
0 days ago
5mo newerFeb 16, 2026
5 months ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while Qwen3.5-397B-A17B's cutoff date is not specified.
We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without Qwen3.5-397B-A17B's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.5 Flash-Lite is available from Google. Qwen3.5-397B-A17B is available from Novita.
Gemini 3.5 Flash-Lite
Qwen3.5-397B-A17B
Outputs Comparison
Key Takeaways
Qwen3.5-397B-A17B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and Qwen3.5-397B-A17B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3.5 Flash-Lite vs Qwen3.5-397B-A17B.