Model Comparison

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

DeepSeek

DeepSeek-V3

DeepSeek

DeepSeek-V3 is a language model developed by DeepSeek. It achieves strong performance with an average score of 67.2% across 20 benchmarks. It excels particularly in DROP (91.6%), CLUEWSC (90.9%), MATH-500 (90.2%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents DeepSeek's latest advancement in AI technology.

Microsoft

Phi-3.5-vision-instruct

Microsoft

Phi-3.5-vision-instruct is a multimodal language model developed by Microsoft. It achieves strong performance with an average score of 68.3% across 9 benchmarks. It excels particularly in ScienceQA (91.3%), POPE (86.1%), MMBench (81.9%). The model shows particular specialization in general tasks with an average performance of 75.9%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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-vision-instruct

Microsoft

2024-08-23

DeepSeek

DeepSeek-V3

DeepSeek

2024-12-25

4 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3

Larger context
Max Context:262.1K
Parameters:671.0B
Microsoft

Phi-3.5-vision-instruct

Max Context:-
Parameters:4.2B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3

math
+46.3%
90.2%
general
65.1%
Microsoft

Phi-3.5-vision-instruct

math
43.9%
general
+10.8%
75.9%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3

1 providers

DeepSeek

Throughput: 100 tok/s
Latency: 0.5ms
Microsoft

Phi-3.5-vision-instruct

0 providers
DeepSeek

DeepSeek-V3

Avg Score:0.0%
Providers:1
Microsoft

Phi-3.5-vision-instruct

Avg Score:0.0%
Providers:0