Model Comparison

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

DeepSeek-V3 0324

DeepSeek

DeepSeek-V3 0324 is a language model developed by DeepSeek. It achieves strong performance with an average score of 70.4% across 5 benchmarks. It excels particularly in MATH-500 (94.0%), MMLU-Pro (81.2%), GPQA (68.4%). Released in 2025, it represents DeepSeek's latest advancement in AI technology.

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.

Phi-3.5-mini-instruct

Microsoft

2024-08-23

DeepSeek-V3 0324

DeepSeek

2025-03-25

7 months newer

Performance Metrics

Context window and performance specifications

DeepSeek-V3 0324

Max Context:-

Parameters:671.0B

Phi-3.5-mini-instruct

Larger context

Max Context:256.0K

Parameters:3.8B

Average performance across 2 common benchmarks

DeepSeek-V3 0324

+35.9%

Average Score:74.8%

Phi-3.5-mini-instruct

Average Score:38.9%

Performance comparison across key benchmark categories

DeepSeek-V3 0324

math

+33.1%

94.0%

general

+14.3%

69.7%

code

49.2%

Phi-3.5-mini-instruct

math

60.9%

general

55.4%

code

+17.0%

66.2%

Benchmark Scores - Detailed View

Side-by-side comparison of all benchmark scores

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek-V3 0324

0 providers

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s

Latency: 0.52ms

DeepSeek-V3 0324

+35.9%

Avg Score:74.8%

Providers:0

Phi-3.5-mini-instruct

Avg Score:38.9%

Providers:1