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.
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.0% across 24 benchmarks. It excels particularly in MMLU-Redux (90.9%), MultiPL-E (87.8%), IFEval (87.6%). It supports a 131K 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 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
2025-01-10
4 months newer
Pricing Comparison
Cost per million tokens (USD)
Jamba 1.5 Large
Qwen3-Next-80B-A3B-Instruct
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large
Qwen3-Next-80B-A3B-Instruct
Average performance across 2 common benchmarks
Jamba 1.5 Large
Qwen3-Next-80B-A3B-Instruct
Performance comparison across key benchmark categories
Jamba 1.5 Large
Qwen3-Next-80B-A3B-Instruct
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Qwen3-Next-80B-A3B-Instruct
Novita
Jamba 1.5 Large
Qwen3-Next-80B-A3B-Instruct