Gemini 2.5 Flash-Lite vs Qwen3.8 Max
Qwen3.8 Max leads the LLM Stats Score 51.9 to 10.4. Gemini 2.5 Flash-Lite is 14.1x cheaper per token.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Max leads the overall LLM Stats Score 51.9 to 10.4, ranking #11 overall.
In the 2 individual benchmarks reported for both models, Qwen3.8 Max wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 2.5 Flash-Lite is roughly 14.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 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 2.5 Flash-Lite
- cost matters — it's about 14.1x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose Qwen3.8 Max
- overall performance matters — it scores 51.9 and ranks #11 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Gemini 2.5 Flash-Lite · 42 for Qwen3.8 Max
Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while Qwen3.8 Max is better at 2 benchmarks (GPQA, Humanity's Last Exam).
Qwen3.8 Max significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) is 16.5x cheaper than Qwen3.8 Max ($1.65/1M tokens).
For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 12.4x cheaper than Qwen3.8 Max ($4.95/1M tokens).
In conclusion, Qwen3.8 Max is more expensive than Gemini 2.5 Flash-Lite.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Flash-Lite accepts 1,048,576 input tokens compared to Qwen3.8 Max's 256,000 tokens. Qwen3.8 Max can generate longer responses up to 256,000 tokens, while Gemini 2.5 Flash-Lite is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 2.5 Flash-Lite and Qwen3.8 Max support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.5 Flash-Lite
Qwen3.8 Max
License
Usage and distribution terms
Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while Qwen3.8 Max uses Qwen3.8-Max License.
License differences may affect how you can use these models in commercial or open-source projects.
Creative Commons Attribution 4.0 License
Open weights
Qwen3.8-Max License
Open weights
Release Timeline
When each model was launched
Gemini 2.5 Flash-Lite was released on 2025-06-17, while Qwen3.8 Max was released on 2026-08-02.
Qwen3.8 Max is 14 months newer than Gemini 2.5 Flash-Lite.
Jun 17, 2025
1.2 years ago
Aug 2, 2026
1 months ago
1.1yr newerKnowledge Cutoff
When training data ends
Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while Qwen3.8 Max's cutoff date is not specified.
We can confirm Gemini 2.5 Flash-Lite's training data extends to 2025-01-01, but cannot make a direct comparison without Qwen3.8 Max's cutoff date.
Jan 2025
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Provider Availability
Gemini 2.5 Flash-Lite is available from Google. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.
Gemini 2.5 Flash-Lite
Qwen3.8 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.5 Flash-Lite and Qwen3.8 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.5 Flash-Lite vs Qwen3.8 Max.