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 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 Mini
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 Mini

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

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

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

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

Qwen2.5 7B Instruct
Together
Jamba 1.5 Mini

Qwen2.5 7B Instruct