Comprehensive side-by-side LLM comparison
Pixtral Large leads with 7.7% higher average benchmark score. Jamba 1.5 Mini offers 256.3K more tokens in context window than Pixtral Large. Jamba 1.5 Mini is $7.40 cheaper per million tokens. Pixtral Large supports multimodal inputs. Overall, Pixtral Large is the stronger choice for coding tasks.
AI21 Labs
Jamba 1.5 Mini is a language model developed by AI21 Labs. The model shows competitive results across 8 benchmarks. It excels particularly in ARC-C (85.7%), GSM8k (75.8%), MMLU (69.7%). 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 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%). 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.
2 months newer
Jamba 1.5 Mini
AI21 Labs
2024-08-22
Pixtral Large
Mistral AI
2024-11-18
Cost per million tokens (USD)
Jamba 1.5 Mini
Pixtral Large
Context window and performance specifications
Average performance across 15 common benchmarks
Jamba 1.5 Mini
Pixtral Large
Jamba 1.5 Mini
2024-03-05
Available providers and their performance metrics
Jamba 1.5 Mini
Bedrock
Pixtral Large
Jamba 1.5 Mini
Pixtral Large
Jamba 1.5 Mini
Pixtral Large
Mistral AI