Comprehensive side-by-side LLM comparison
Pixtral Large leads with 9.1% higher average benchmark score. Pixtral Large offers 215.0K more tokens in context window than Gemini 1.0 Pro. Gemini 1.0 Pro is $6.00 cheaper per million tokens. Pixtral Large supports multimodal inputs. Overall, Pixtral Large is the stronger choice for coding tasks.
Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google'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.
9 months newer
Gemini 1.0 Pro
2024-02-15
Pixtral Large
Mistral AI
2024-11-18
Cost per million tokens (USD)
Gemini 1.0 Pro
Pixtral Large
Context window and performance specifications
Average performance across 14 common benchmarks
Gemini 1.0 Pro
Pixtral Large
Gemini 1.0 Pro
2024-02-01
Available providers and their performance metrics
Gemini 1.0 Pro
Pixtral Large
Gemini 1.0 Pro
Pixtral Large
Gemini 1.0 Pro
Pixtral Large
Mistral AI