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

DeepSeek R1 Distill Llama 70B
DeepSeek
DeepSeek R1 Distill Llama 70B is a language model developed by DeepSeek. It achieves strong performance with an average score of 76.0% across 4 benchmarks. It excels particularly in MATH-500 (94.5%), AIME 2024 (86.7%), GPQA (65.2%). 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
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.

Phi 4
Microsoft
2024-12-12

DeepSeek R1 Distill Llama 70B
DeepSeek
2025-01-20
1 month newer
Pricing Comparison
Cost per million tokens (USD)

DeepSeek R1 Distill Llama 70B

Phi 4
Performance Metrics
Context window and performance specifications

DeepSeek R1 Distill Llama 70B

Phi 4
Average performance across 1 common benchmarks

DeepSeek R1 Distill Llama 70B

Phi 4
Performance comparison across key benchmark categories

DeepSeek R1 Distill Llama 70B

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

DeepSeek R1 Distill Llama 70B
DeepInfra

Phi 4
DeepInfra

DeepSeek R1 Distill Llama 70B

Phi 4