Model Comparison

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

DeepSeek

DeepSeek VL2 Small

DeepSeek

DeepSeek VL2 Small is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 69.6% across 14 benchmarks. It excels particularly in DocVQA (92.3%), ChartQA (84.5%), OCRBench (83.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, 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 VL2 Small

DeepSeek

2024-12-13

3 months newer

Performance Metrics

Context window and performance specifications

DeepSeek

DeepSeek VL2 Small

Max Context:-
Parameters:16.0B
Microsoft

Phi-3.5-mini-instruct

Larger context
Max Context:256.0K
Parameters:3.8B

Performance comparison across key benchmark categories

DeepSeek

DeepSeek VL2 Small

general
+13.5%
68.9%
math
60.7%
Microsoft

Phi-3.5-mini-instruct

general
55.4%
math
+0.2%
60.9%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek

DeepSeek VL2 Small

0 providers
Microsoft

Phi-3.5-mini-instruct

1 providers

Azure

Throughput: 23 tok/s
Latency: 0.52ms
DeepSeek

DeepSeek VL2 Small

Avg Score:0.0%
Providers:0
Microsoft

Phi-3.5-mini-instruct

Avg Score:0.0%
Providers:1