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-Omni-7B
Alibaba
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). The model shows particular specialization in code tasks with an average performance of 76.0%. 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-Omni-7B
Alibaba
2025-03-27
7 months newer
Performance Metrics
Context window and performance specifications
Jamba 1.5 Mini

Qwen2.5-Omni-7B
Average performance across 3 common benchmarks
Jamba 1.5 Mini

Qwen2.5-Omni-7B
Performance comparison across key benchmark categories
Jamba 1.5 Mini

Qwen2.5-Omni-7B
Jamba 1.5 Mini
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Mini
Bedrock

Qwen2.5-Omni-7B
Jamba 1.5 Mini

Qwen2.5-Omni-7B