Gemini 2.5 Flash-Lite vs Qwen3 VL 30B A3B Thinking
Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks. Gemini 2.5 Flash-Lite is 2.3x cheaper per token.
Google · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 3 benchmarks (AIME 2025, GPQA, SimpleQA). Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
On price, Gemini 2.5 Flash-Lite is roughly 2.3x 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 benchmark, pricing, and model metadata for 2026.
Choose Gemini 2.5 Flash-Lite
- cost matters — it's about 2.3x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose Qwen3 VL 30B A3B Thinking
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you want the most recent training data — it shipped Sep 2025
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.5 Flash-Lite outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 3 benchmarks (AIME 2025, GPQA, SimpleQA).
Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.5 Flash-Lite ($0.10/1M tokens) is 2.0x cheaper than Qwen3 VL 30B A3B Thinking ($0.20/1M tokens).
For output processing, Gemini 2.5 Flash-Lite ($0.40/1M tokens) is 2.5x cheaper than Qwen3 VL 30B A3B Thinking ($0.99/1M tokens).
In conclusion, Qwen3 VL 30B A3B Thinking 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 VL 30B A3B Thinking's 131,072 tokens. Gemini 2.5 Flash-Lite can generate longer responses up to 65,536 tokens, while Qwen3 VL 30B A3B Thinking is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 2.5 Flash-Lite and Qwen3 VL 30B A3B Thinking support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.5 Flash-Lite
Qwen3 VL 30B A3B Thinking
License
Usage and distribution terms
Gemini 2.5 Flash-Lite is licensed under Creative Commons Attribution 4.0 License, while Qwen3 VL 30B A3B Thinking 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 VL 30B A3B Thinking was released on 2025-09-22.
Qwen3 VL 30B A3B Thinking is 3 months newer than Gemini 2.5 Flash-Lite.
Jun 17, 2025
1.2 years ago
Sep 22, 2025
11 months ago
3mo newerKnowledge Cutoff
When training data ends
Gemini 2.5 Flash-Lite has a documented knowledge cutoff of 2025-01-01, while Qwen3 VL 30B A3B Thinking'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 VL 30B A3B Thinking's cutoff date.
Jan 2025
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Provider Availability
Gemini 2.5 Flash-Lite is available from Google. Qwen3 VL 30B A3B Thinking is available from Novita, DeepInfra.
Gemini 2.5 Flash-Lite
Qwen3 VL 30B A3B Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.5 Flash-Lite and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.5 Flash-Lite vs Qwen3 VL 30B A3B Thinking.