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 4 Maverick
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). The model shows particular specialization in vision tasks with an average performance of 75.8%. With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22

Llama 4 Maverick
Meta
2025-04-05
7 months newer
Pricing Comparison
Cost per million tokens (USD)
Jamba 1.5 Large

Llama 4 Maverick
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large

Llama 4 Maverick
Average performance across 3 common benchmarks
Jamba 1.5 Large

Llama 4 Maverick
Performance comparison across key benchmark categories
Jamba 1.5 Large

Llama 4 Maverick
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock

Llama 4 Maverick
Sambanova
Together
DeepInfra
Fireworks
Groq
Novita
Lambda
Jamba 1.5 Large

Llama 4 Maverick