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.
Jamba 1.5 Mini
AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
Jamba 1.5 Mini
AI21 Labs
2024-08-22

DeepSeek VL2 Tiny
DeepSeek
2024-12-13
3 months newer
Performance Metrics
Context window and performance specifications

DeepSeek VL2 Tiny
Jamba 1.5 Mini
Performance comparison across key benchmark categories

DeepSeek VL2 Tiny
Jamba 1.5 Mini
Jamba 1.5 Mini
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics

DeepSeek VL2 Tiny
Jamba 1.5 Mini
Bedrock

DeepSeek VL2 Tiny
Jamba 1.5 Mini