Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Jamba 1.5 Large
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.

Qwen2.5 7B Instruct
Alibaba
Qwen2.5 7B Instruct is a language model developed by Alibaba. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). The model shows particular specialization in math tasks with an average performance of 83.5%. It supports a 139K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22

Qwen2.5 7B Instruct
Alibaba
2024-09-19
28 days newer
Pricing Comparison
Cost per million tokens (USD)
Jamba 1.5 Large

Qwen2.5 7B Instruct
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large

Qwen2.5 7B Instruct
Average performance across 4 common benchmarks
Jamba 1.5 Large

Qwen2.5 7B Instruct
Performance comparison across key benchmark categories
Jamba 1.5 Large

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

Qwen2.5 7B Instruct
Together
Jamba 1.5 Large

Qwen2.5 7B Instruct