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-3.5-mini-instruct

Microsoft

Phi-3.5-mini-instruct is a language model developed by Microsoft. The model shows competitive results across 31 benchmarks. It excels particularly in GSM8k (86.2%), ARC-C (84.6%), RULER (84.1%). 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 2024, it represents Microsoft's latest advancement in AI technology.

Microsoft

Phi-3.5-mini-instruct

Microsoft

2024-08-23

DeepSeek

DeepSeek R1 Distill Llama 70B

DeepSeek

2025-01-20

5 months newer

Pricing Comparison

Cost per million tokens (USD)

DeepSeek

DeepSeek R1 Distill Llama 70B

Input:$0.10
Output:$0.40
Microsoft

Phi-3.5-mini-instruct

$0.30 cheaper
Input:$0.10
Output:$0.10

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek R1 Distill Llama 70B

Max Context:256.0K
Parameters:70.6B
Microsoft

Phi-3.5-mini-instruct

Max Context:256.0K
Parameters:3.8B

Average performance across 1 common benchmarks

DeepSeek

DeepSeek R1 Distill Llama 70B

+34.8%
Average Score:65.2%
Microsoft

Phi-3.5-mini-instruct

Average Score:30.4%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek R1 Distill Llama 70B

math
+33.6%
94.5%
general
+20.6%
76.0%
code
57.5%
Microsoft

Phi-3.5-mini-instruct

math
60.9%
general
55.4%
code
+8.7%
66.2%
Benchmark Scores - Detailed View
Side-by-side comparison of all benchmark scores

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-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
DeepSeek

DeepSeek R1 Distill Llama 70B

+34.8%
Avg Score:65.2%
Providers:1
Microsoft

Phi-3.5-mini-instruct

Avg Score:30.4%
Providers:1