Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 31.1% higher average benchmark score. Jamba 1.5 Large offers 372.7K more tokens in context window than Qwen2.5 72B Instruct. Qwen2.5 72B Instruct is $9.25 cheaper per million tokens. Qwen2.5 72B Instruct is available on 4 providers. Overall, Qwen2.5 72B 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 72B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 77.4% across 14 benchmarks. It excels particularly in GSM8k (95.8%), MT-Bench (93.5%), MBPP (88.2%). It supports a 139K token context window for handling large documents. The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
28 days newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Cost per million tokens (USD)
Jamba 1.5 Large
Qwen2.5 72B Instruct
Context window and performance specifications
Average performance across 18 common benchmarks
Jamba 1.5 Large
Qwen2.5 72B 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 72B Instruct
Jamba 1.5 Large
Qwen2.5 72B Instruct
Qwen2.5 72B Instruct
DeepInfra
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