Gemini 3.5 Flash-Lite vs Qwen3.6-27B
Gemini 3.5 Flash-Lite and Qwen3.6-27B are closely matched at 29.9 and 35.6 on the LLM Stats Score. Gemini 3.5 Flash-Lite is 1.2x cheaper per token.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Gemini 3.5 Flash-Lite and Qwen3.6-27B are closely matched on the overall LLM Stats Score at 29.9 and 35.6.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Gemini 3.5 Flash-Lite is roughly 1.2x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 3.5 Flash-Lite
- cost matters — it's about 1.2x 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 Qwen3.6-27B
- your work emphasizes reasoning — it leads those capability indexes
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for Gemini 3.5 Flash-Lite · 44 for Qwen3.6-27B
Gemini 3.5 Flash-Lite outperforms in 1 benchmarks (SWE-Bench Pro), while Qwen3.6-27B is better at 1 benchmark (CharXiv-R).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 1.1x cheaper than Qwen3.6-27B ($0.32/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 1.3x cheaper than Qwen3.6-27B ($3.20/1M tokens).
In conclusion, Qwen3.6-27B 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 Qwen3.6-27B's 262,144 tokens. Qwen3.6-27B can generate longer responses up to 262,144 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.5 Flash-Lite and Qwen3.6-27B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.5 Flash-Lite
Qwen3.6-27B
License
Usage and distribution terms
Gemini 3.5 Flash-Lite is licensed under a proprietary license, while Qwen3.6-27B 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 Qwen3.6-27B was released on 2026-04-21.
Gemini 3.5 Flash-Lite is 3 months newer than Qwen3.6-27B.
Jul 21, 2026
1 months ago
3mo newerApr 21, 2026
4 months ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while Qwen3.6-27B'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 Qwen3.6-27B's cutoff date.
Mar 2026
—
Provider Availability
Gemini 3.5 Flash-Lite is available from Google. Qwen3.6-27B is available from DeepInfra, Novita.
Gemini 3.5 Flash-Lite
Qwen3.6-27B
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and Qwen3.6-27B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.5 Flash-Lite vs Qwen3.6-27B.