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 32B Instruct
Alibaba
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). The model shows particular specialization in code tasks with an average performance of 87.8%. 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 2025, it represents Alibaba's latest advancement in AI technology.
Jamba 1.5 Mini
AI21 Labs
2024-08-22

Qwen2.5 VL 32B Instruct
Alibaba
2025-02-28
6 months newer
Performance Metrics
Context window and performance specifications
Jamba 1.5 Mini

Qwen2.5 VL 32B Instruct
Average performance across 3 common benchmarks
Jamba 1.5 Mini

Qwen2.5 VL 32B Instruct
Performance comparison across key benchmark categories
Jamba 1.5 Mini

Qwen2.5 VL 32B 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 32B Instruct
Jamba 1.5 Mini

Qwen2.5 VL 32B Instruct