Comprehensive side-by-side LLM comparison
Gemini 2.0 Flash-Lite leads with 9.0% higher average benchmark score. Gemini 2.0 Flash-Lite offers 800.8K more tokens in context window than Qwen3 30B A3B. Both models have similar pricing. Gemini 2.0 Flash-Lite supports multimodal inputs. Qwen3 30B A3B is available on 3 providers. Overall, Gemini 2.0 Flash-Lite is the stronger choice for coding tasks.
Gemini 2.0 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in MATH (86.8%), FACTS Grounding (83.6%), Global-MMLU-Lite (78.2%). With a 1.1M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Google's latest advancement in AI technology.
Alibaba Cloud / Qwen Team
Qwen3 30B A3B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 73.3% across 8 benchmarks. It excels particularly in Arena Hard (91.0%), AIME 2024 (80.4%), LiveBench (74.3%). It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
2 months newer
Gemini 2.0 Flash-Lite
2025-02-05
Qwen3 30B A3B
Alibaba Cloud / Qwen Team
2025-04-29
Cost per million tokens (USD)
Gemini 2.0 Flash-Lite
Qwen3 30B A3B
Context window and performance specifications
Average performance across 20 common benchmarks
Gemini 2.0 Flash-Lite
Qwen3 30B A3B
Gemini 2.0 Flash-Lite
2024-06-01
Available providers and their performance metrics
Gemini 2.0 Flash-Lite
Qwen3 30B A3B
Gemini 2.0 Flash-Lite
Qwen3 30B A3B
Gemini 2.0 Flash-Lite
Qwen3 30B A3B
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