Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Phi 4
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 shows particular specialization in math tasks with an average performance of 80.5%. 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.

Qwen2.5 7B Instruct
Alibaba
Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K 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 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2.5 7B Instruct
Alibaba
2024-09-19

Phi 4
Microsoft
2024-12-12
2 months newer
Pricing Comparison
Cost per million tokens (USD)

Phi 4

Qwen2.5 7B Instruct
Performance Metrics
Context window and performance specifications

Phi 4

Qwen2.5 7B Instruct
Average performance across 7 common benchmarks

Phi 4

Qwen2.5 7B Instruct
Performance comparison across key benchmark categories

Phi 4

Qwen2.5 7B Instruct
Phi 4
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

Phi 4
DeepInfra

Qwen2.5 7B Instruct
Together

Phi 4

Qwen2.5 7B Instruct