Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 53.5% higher average benchmark score. Gemini 2.0 Flash Thinking supports multimodal inputs. Overall, Qwen3-Next-80B-A3B-Thinking is the stronger choice for coding tasks.
Gemini 2.0 Flash Thinking is a multimodal language model developed by Google. It achieves strong performance with an average score of 74.3% across 3 benchmarks. Notable strengths include MMMU (75.4%), GPQA (74.2%), AIME 2024 (73.3%). 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-Next-80B-A3B-Thinking is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.9% across 23 benchmarks. It excels particularly in MMLU-Redux (92.5%), IFEval (88.9%), AIME 2025 (87.8%). It supports a 131K token context window for handling large documents. The model is available through 1 API provider. 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.
7 months newer
Gemini 2.0 Flash Thinking
2025-01-21
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
Context window and performance specifications
Average performance across 25 common benchmarks
Gemini 2.0 Flash Thinking
Qwen3-Next-80B-A3B-Thinking
Gemini 2.0 Flash Thinking
2024-08-01
Available providers and their performance metrics
Gemini 2.0 Flash Thinking
Qwen3-Next-80B-A3B-Thinking
Novita
Gemini 2.0 Flash Thinking
Qwen3-Next-80B-A3B-Thinking
Gemini 2.0 Flash Thinking
Qwen3-Next-80B-A3B-Thinking