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

Llama 3.1 70B Instruct
Meta
Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Pixtral Large
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%). The model shows particular specialization in general tasks with an average performance of 91.0%. 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.

Llama 3.1 70B Instruct
Meta
2024-07-23

Pixtral Large
Mistral AI
2024-11-18
3 months newer
Pricing Comparison
Cost per million tokens (USD)

Llama 3.1 70B Instruct

Pixtral Large
Performance Metrics
Context window and performance specifications

Llama 3.1 70B Instruct

Pixtral Large
Performance comparison across key benchmark categories

Llama 3.1 70B Instruct

Pixtral Large
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.1 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Pixtral Large
Mistral AI

Llama 3.1 70B Instruct

Pixtral Large