Comprehensive side-by-side LLM comparison
Phi 4 leads with 22.6% higher average benchmark score. GLM-4.6 offers 164.6K more tokens in context window than Phi 4. Phi 4 is $2.39 cheaper per million tokens. GLM-4.6 supports multimodal inputs. Overall, Phi 4 is the stronger choice for coding tasks.
Zhipu AI
GLM-4.6 is a multimodal language model developed by Zhipu AI. It achieves strong performance with an average score of 61.2% across 7 benchmarks. It excels particularly in AIME 2025 (93.9%), LiveCodeBench v6 (82.8%), GPQA (81.0%). It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.
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.
9 months newer
Phi 4
Microsoft
2024-12-12
GLM-4.6
Zhipu AI
2025-09-30
Cost per million tokens (USD)
GLM-4.6
Phi 4
Context window and performance specifications
Average performance across 19 common benchmarks
GLM-4.6
Phi 4
Phi 4
2024-06-01
Available providers and their performance metrics
GLM-4.6
DeepInfra
ZeroEval
Phi 4
GLM-4.6
Phi 4
GLM-4.6
Phi 4
DeepInfra