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.

Pixtral Large
Mistral AI
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). The model shows particular specialization in general tasks with an average performance of 91.0%. It supports a 256K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22

Pixtral Large
Mistral AI
2024-11-18
2 months newer
Pricing Comparison
Cost per million tokens (USD)
Jamba 1.5 Large

Pixtral Large
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large

Pixtral Large
Performance comparison across key benchmark categories
Jamba 1.5 Large

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

Pixtral Large
Mistral AI
Jamba 1.5 Large

Pixtral Large