Comprehensive side-by-side LLM comparison
Pixtral-12B leads with 14.7% higher average benchmark score. Jamba 1.5 Large offers 375.8K more tokens in context window than Pixtral-12B. Pixtral-12B is $9.70 cheaper per million tokens. Pixtral-12B supports multimodal inputs. Overall, Pixtral-12B is the stronger choice for coding tasks.
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.
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%). 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.
26 days newer
Jamba 1.5 Large
AI21 Labs
2024-08-22
Pixtral-12B
Mistral AI
2024-09-17
Cost per million tokens (USD)
Jamba 1.5 Large
Pixtral-12B
Context window and performance specifications
Average performance across 19 common benchmarks
Jamba 1.5 Large
Pixtral-12B
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Pixtral-12B
Jamba 1.5 Large
Pixtral-12B
Jamba 1.5 Large
Pixtral-12B
Mistral AI