Comprehensive side-by-side LLM comparison
Pixtral Large leads with 2.6% higher average benchmark score. Jamba 1.5 Large offers 256.0K more tokens in context window than Pixtral Large. Pixtral Large is $2.00 cheaper per million tokens. Pixtral Large supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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 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 Large
AI21 Labs
2024-08-22
Pixtral Large
Mistral AI
2024-11-18
Cost per million tokens (USD)
Jamba 1.5 Large
Pixtral Large
Context window and performance specifications
Average performance across 15 common benchmarks
Jamba 1.5 Large
Pixtral Large
Jamba 1.5 Large
2024-03-05
Available providers and their performance metrics
Jamba 1.5 Large
Bedrock
Pixtral Large
Jamba 1.5 Large
Pixtral Large
Jamba 1.5 Large
Pixtral Large
Mistral AI