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.

QwQ-32B-Preview
Alibaba
QwQ-32B-Preview is a language model developed by Alibaba. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). 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's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22

QwQ-32B-Preview
Alibaba
2024-11-28
3 months newer
Pricing Comparison
Cost per million tokens (USD)
Jamba 1.5 Large

QwQ-32B-Preview
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large

QwQ-32B-Preview
Average performance across 1 common benchmarks
Jamba 1.5 Large

QwQ-32B-Preview
Performance comparison across key benchmark categories
Jamba 1.5 Large

QwQ-32B-Preview
Jamba 1.5 Large
2024-03-05
QwQ-32B-Preview
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock

QwQ-32B-Preview
Together
Hyperbolic
DeepInfra
Fireworks
Jamba 1.5 Large

QwQ-32B-Preview