Comprehensive side-by-side LLM comparison
Qwen3 235B A22B leads with 37.0% higher average benchmark score. Gemini 2.5 Flash-Lite offers 858.1K more tokens in context window than Qwen3 235B A22B. Both models have similar pricing. Gemini 2.5 Flash-Lite supports multimodal inputs. Qwen3 235B A22B is available on 4 providers. Overall, Qwen3 235B A22B is the stronger choice for coding tasks.
Gemini 2.5 Flash-Lite is a multimodal language model developed by Google. The model shows competitive results across 13 benchmarks. It excels particularly in FACTS Grounding (84.1%), Global-MMLU-Lite (81.1%), MMMU (72.9%). 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 235B A22B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 76.2% across 23 benchmarks. It excels particularly in Arena Hard (95.6%), GSM8k (94.4%), BBH (88.9%). It supports a 256K token context window for handling large documents. The model is available through 4 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.
1 month newer
Qwen3 235B A22B
Alibaba Cloud / Qwen Team
2025-04-29
Gemini 2.5 Flash-Lite
2025-06-17
Cost per million tokens (USD)
Gemini 2.5 Flash-Lite
Qwen3 235B A22B
Context window and performance specifications
Average performance across 33 common benchmarks
Gemini 2.5 Flash-Lite
Qwen3 235B A22B
Gemini 2.5 Flash-Lite
2025-01-01
Available providers and their performance metrics
Gemini 2.5 Flash-Lite
Qwen3 235B A22B
Gemini 2.5 Flash-Lite
Qwen3 235B A22B
Gemini 2.5 Flash-Lite
Qwen3 235B A22B
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