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.
Llama 3.1 70B Instruct
Meta
Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.
Llama 3.1 70B Instruct
Meta
2024-07-23
Jamba 1.5 Large
AI21 Labs
2024-08-22
1 month newer
Pricing Comparison
Cost per million tokens (USD)
Jamba 1.5 Large
Llama 3.1 70B Instruct
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large
Llama 3.1 70B Instruct
Average performance across 4 common benchmarks
Jamba 1.5 Large
Llama 3.1 70B Instruct
Performance comparison across key benchmark categories
Jamba 1.5 Large
Llama 3.1 70B Instruct
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Llama 3.1 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras
Jamba 1.5 Large
Llama 3.1 70B Instruct