Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
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.

Qwen2.5 VL 72B Instruct
Alibaba
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.
Jamba 1.5 Mini
AI21 Labs
2024-08-22

Qwen2.5 VL 72B Instruct
Alibaba
2025-01-26
5 months newer
Performance Metrics
Context window and performance specifications
Jamba 1.5 Mini

Qwen2.5 VL 72B Instruct
Performance comparison across key benchmark categories
Jamba 1.5 Mini

Qwen2.5 VL 72B Instruct
Jamba 1.5 Mini
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Mini
Bedrock

Qwen2.5 VL 72B Instruct
Jamba 1.5 Mini

Qwen2.5 VL 72B Instruct