Model Comparison

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

DeepSeek

DeepSeek-V3.2-Exp

DeepSeek

DeepSeek-V3.2-Exp is a language model developed by DeepSeek. It achieves strong performance with an average score of 66.1% across 14 benchmarks. It excels particularly in SimpleQA (97.1%), AIME 2025 (89.3%), MMLU-Pro (85.0%). It supports a 229K token context window for handling large documents. The model is available through 2 API providers. 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-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-V3.2-Exp

DeepSeek

2025-09-29

1 year newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek-V3.2-Exp

Larger context
Max Context:229.4K
Parameters:685.0B
Microsoft

Phi-3.5-vision-instruct

Max Context:-
Parameters:4.2B

Average performance across 23 common benchmarks

DeepSeek

DeepSeek-V3.2-Exp

+13.5%
Average Score:40.2%
Microsoft

Phi-3.5-vision-instruct

Average Score:26.7%

Performance comparison across key benchmark categories

DeepSeek

DeepSeek-V3.2-Exp

math
+42.6%
86.5%
general
62.1%
Microsoft

Phi-3.5-vision-instruct

math
43.9%
general
+13.8%
75.9%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek-V3.2-Exp

2 providers

Novita

ZeroEval

Throughput: 100 tok/s
Latency: 0.7ms
Microsoft

Phi-3.5-vision-instruct

0 providers
DeepSeek

DeepSeek-V3.2-Exp

+13.5%
Avg Score:40.2%
Providers:2
Microsoft

Phi-3.5-vision-instruct

Avg Score:26.7%
Providers:0