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

DeepSeek R1 Distill Qwen 32B
DeepSeek
DeepSeek R1 Distill Qwen 32B is a language model developed by DeepSeek. It achieves strong performance with an average score of 74.2% across 4 benchmarks. It excels particularly in MATH-500 (94.3%), AIME 2024 (83.3%), GPQA (62.1%). It supports a 256K 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 DeepSeek's latest advancement in AI technology.

Phi 4 Mini
Microsoft
Phi 4 Mini is a language model developed by Microsoft. It achieves strong performance with an average score of 65.4% across 17 benchmarks. It excels particularly in GSM8k (88.6%), ARC-C (83.7%), BoolQ (81.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Microsoft's latest advancement in AI technology.

DeepSeek R1 Distill Qwen 32B
DeepSeek
2025-01-20

Phi 4 Mini
Microsoft
2025-02-01
12 days newer
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Qwen 32B

Phi 4 Mini
Average performance across 1 common benchmarks

DeepSeek R1 Distill Qwen 32B

Phi 4 Mini
Performance comparison across key benchmark categories

DeepSeek R1 Distill Qwen 32B

Phi 4 Mini
Phi 4 Mini
2024-06-01
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek R1 Distill Qwen 32B
DeepInfra

Phi 4 Mini

DeepSeek R1 Distill Qwen 32B

Phi 4 Mini