Model Comparison

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

DeepSeek VL2 Tiny

DeepSeek

DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). 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.

Llama 3.2 3B Instruct

Meta

Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Llama 3.2 3B Instruct

Performance Metrics

Context window and performance specifications

DeepSeek VL2 Tiny

Max Context:-

Parameters:3.0B

Llama 3.2 3B Instruct

Larger context

Max Context:256.0K

Parameters:3.2B

Performance comparison across key benchmark categories

DeepSeek VL2 Tiny

general

+20.1%

62.5%

math

53.6%

Llama 3.2 3B Instruct

general

42.5%

math

+7.7%

61.3%

Provider Availability & Performance

Available providers and their performance metrics

DeepSeek VL2 Tiny

0 providers

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

DeepSeek VL2 Tiny

Avg Score:0.0%

Providers:0

Llama 3.2 3B Instruct

Avg Score:0.0%

Providers:1