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-12B
Mistral AI
Pixtral-12B is a multimodal language model developed by Mistral AI. It achieves strong performance with an average score of 66.8% across 12 benchmarks. It excels particularly in DocVQA (90.7%), ChartQA (81.8%), VQAv2 (78.6%). The model shows particular specialization in general tasks with an average performance of 75.5%. It supports a 136K 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. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22

Pixtral-12B
Mistral AI
2024-09-17
26 days newer
Pricing Comparison
Cost per million tokens (USD)
Jamba 1.5 Large

Pixtral-12B
Performance Metrics
Context window and performance specifications
Jamba 1.5 Large

Pixtral-12B
Average performance across 1 common benchmarks
Jamba 1.5 Large

Pixtral-12B
Performance comparison across key benchmark categories
Jamba 1.5 Large

Pixtral-12B
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock

Pixtral-12B
Mistral AI
Jamba 1.5 Large

Pixtral-12B