Comprehensive side-by-side LLM comparison
Llama 3.2 3B Instruct leads with 1.3% higher average benchmark score. Llama 3.2 3B Instruct offers 119.8K more tokens in context window than Pixtral-12B. Both models have similar pricing. Pixtral-12B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta'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.
8 days newer
Pixtral-12B
Mistral AI
2024-09-17
Llama 3.2 3B Instruct
Meta
2024-09-25
Cost per million tokens (USD)
Llama 3.2 3B Instruct
Pixtral-12B
Context window and performance specifications
Average performance across 24 common benchmarks
Llama 3.2 3B Instruct
Pixtral-12B
Available providers and their performance metrics
Llama 3.2 3B Instruct
DeepInfra
Pixtral-12B
Llama 3.2 3B Instruct
Pixtral-12B
Llama 3.2 3B Instruct
Pixtral-12B
Mistral AI