Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 44.3% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Jamba 1.5 Mini is available on 2 providers. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). 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 Cloud / Qwen Team's latest advancement in AI technology.
7 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Context window and performance specifications
Average performance across 50 common benchmarks
Jamba 1.5 Mini
Qwen2.5-Omni-7B
Jamba 1.5 Mini
2024-03-05
Available providers and their performance metrics
Jamba 1.5 Mini
Bedrock
Jamba 1.5 Mini
Qwen2.5-Omni-7B
Jamba 1.5 Mini
Qwen2.5-Omni-7B
Qwen2.5-Omni-7B