Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Llama 3.2 3B Instruct
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.

Pixtral-12B
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%). The model shows particular specialization in general tasks with an average performance of 75.5%. 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.

Pixtral-12B
Mistral AI
2024-09-17

Llama 3.2 3B Instruct
Meta
2024-09-25
8 days newer
Pricing Comparison
Cost per million tokens (USD)

Llama 3.2 3B Instruct

Pixtral-12B
Performance Metrics
Context window and performance specifications

Llama 3.2 3B Instruct

Pixtral-12B
Average performance across 3 common benchmarks

Llama 3.2 3B Instruct

Pixtral-12B
Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

Pixtral-12B
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 3B Instruct
DeepInfra

Pixtral-12B
Mistral AI

Llama 3.2 3B Instruct

Pixtral-12B