Model Comparison

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

DeepSeek

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.

Microsoft

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.

Microsoft

Phi 4

Microsoft

2024-12-12

DeepSeek

DeepSeek R1 Distill Llama 70B

DeepSeek

2025-01-20

1 month newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek R1 Distill Llama 70B

Input:$0.10
Output:$0.40
Microsoft

Phi 4

$0.29 cheaper
Input:$0.07
Output:$0.14

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Llama 70B

Larger context
Max Context:256.0K
Parameters:70.6B
Microsoft

Phi 4

Max Context:32.0K
Parameters:14.7B

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Distill Llama 70B

+9.1%
Average Score:65.2%
Microsoft

Phi 4

Average Score:56.1%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Llama 70B

math
+14.0%
94.5%
code
57.5%
general
+15.7%
76.0%
Microsoft

Phi 4

math
80.5%
code
+18.6%
76.1%
general
60.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores
Knowledge Cutoff
Training data recency comparison

Phi 4

2024-06-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek R1 Distill Llama 70B

1 providers

DeepInfra

Throughput: 37 tok/s
Latency: 0.65ms
Microsoft

Phi 4

1 providers

DeepInfra

Throughput: 33 tok/s
Latency: 0.2ms
DeepSeek

DeepSeek R1 Distill Llama 70B

+9.1%
Avg Score:65.2%
Providers:1
Microsoft

Phi 4

Avg Score:56.1%
Providers:1