Model Comparison
Gemini 2.5 Flash-Lite vs Qwen3 235B A22BWhich is better in 2026?
Qwen3 235B A22B shows notably better performance in the majority of benchmarks. Qwen3 235B A22B is 1.8x cheaper per token.
Verdict: Gemini 2.5 Flash-Lite vs Qwen3 235B A22B — which is better?
Gemini 2.5 Flash-Lite (by Google) and Qwen3 235B A22B (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 2.5 Flash-Lite outperforms in 1 benchmarks (GPQA), while Qwen3 235B A22B is better at 2 benchmarks (AIME 2025, LiveCodeBench). Qwen3 235B A22B shows notably better performance in the majority of benchmarks.
On price, Qwen3 235B A22B is roughly 1.8x 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.
Choose Gemini 2.5 Flash-Lite if…
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jun 2025
Choose Qwen3 235B A22B if…
- you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
- cost matters — it's about 1.8x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.5 Flash-Lite outperforms in 1 benchmarks (GPQA), while Qwen3 235B A22B is better at 2 benchmarks (AIME 2025, LiveCodeBench).
Qwen3 235B A22B shows notably better performance in the majority of benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) costs the same as Qwen3 235B A22B ($0.10/1M tokens).
For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 4.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).
In conclusion, Gemini 2.5 Flash-Lite is more expensive than Qwen3 235B A22B.*
* 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 235B A22B's 128,000 tokens. Qwen3 235B A22B can generate longer responses up to 128,000 tokens, while Gemini 2.5 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.5 Flash-Lite supports multimodal inputs, whereas Qwen3 235B A22B does not.
Gemini 2.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 2.5 Flash-Lite
Qwen3 235B A22B
License
Usage and distribution terms
Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while Qwen3 235B A22B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Creative Commons Attribution 4.0 License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 2.5 Flash-Lite was released on 2025-06-17, while Qwen3 235B A22B was released on 2025-04-29.
Gemini 2.5 Flash-Lite is 2 months newer than Qwen3 235B A22B.
Jun 17, 2025
11 months ago
1mo newerApr 29, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while Qwen3 235B A22B'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 235B A22B's cutoff date.
Jan 2025
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Provider Availability
Gemini 2.5 Flash-Lite is available from Google. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.
Gemini 2.5 Flash-Lite
Qwen3 235B A22B
Outputs Comparison
Key Takeaways
Qwen3 235B A22B
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Gemini 2.5 Flash-Lite vs Qwen3 235B A22B.