Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 36.3% higher average benchmark score. Qwen3-Next-80B-A3B-Thinking offers 90.1K more tokens in context window than Gemini 1.0 Pro. Both models have similar pricing. Overall, Qwen3-Next-80B-A3B-Thinking is the stronger choice for coding tasks.
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, 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.
1 year newer
Gemini 1.0 Pro
2024-02-15
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
Cost per million tokens (USD)
Gemini 1.0 Pro
Qwen3-Next-80B-A3B-Thinking
Context window and performance specifications
Average performance across 31 common benchmarks
Gemini 1.0 Pro
Qwen3-Next-80B-A3B-Thinking
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
Qwen3-Next-80B-A3B-Thinking
Gemini 1.0 Pro
Qwen3-Next-80B-A3B-Thinking
Gemini 1.0 Pro
Qwen3-Next-80B-A3B-Thinking
Novita