Comprehensive side-by-side LLM comparison
Qwen2.5 VL 7B Instruct leads with 38.5% higher average benchmark score. Qwen2.5 VL 7B Instruct supports multimodal inputs. Jamba 1.5 Large is available on 2 providers. Overall, Qwen2.5 VL 7B Instruct is the stronger choice for coding tasks.
AI21 Labs
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). 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 VL 7B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). 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.
5 months newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Qwen2.5 VL 7B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Context window and performance specifications
Average performance across 40 common benchmarks
Jamba 1.5 Large
Qwen2.5 VL 7B Instruct
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Jamba 1.5 Large
Qwen2.5 VL 7B Instruct
Jamba 1.5 Large
Qwen2.5 VL 7B Instruct
Qwen2.5 VL 7B Instruct