Comprehensive side-by-side LLM comparison
Qwen3-Next-80B-A3B-Thinking leads with 21.3% higher average benchmark score. Qwen3-Next-80B-A3B-Thinking offers 99.1K more tokens in context window than Phi 4. Phi 4 is $1.44 cheaper per million tokens. Overall, Qwen3-Next-80B-A3B-Thinking is the stronger choice for coding tasks.
Microsoft
Phi 4 is a language model developed by Microsoft. It achieves strong performance with an average score of 66.0% across 13 benchmarks. It excels particularly in MMLU (84.8%), HumanEval+ (82.8%), HumanEval (82.6%). The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft'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.
9 months newer
Phi 4
Microsoft
2024-12-12
Qwen3-Next-80B-A3B-Thinking
Alibaba Cloud / Qwen Team
2025-09-10
Cost per million tokens (USD)
Phi 4
Qwen3-Next-80B-A3B-Thinking
Context window and performance specifications
Average performance across 33 common benchmarks
Phi 4
Qwen3-Next-80B-A3B-Thinking
Phi 4
2024-06-01
Available providers and their performance metrics
Phi 4
DeepInfra
Qwen3-Next-80B-A3B-Thinking
Phi 4
Qwen3-Next-80B-A3B-Thinking
Phi 4
Qwen3-Next-80B-A3B-Thinking
Novita