Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 13.4% higher average benchmark score. Llama 3.1 8B Instruct offers 6.1K more tokens in context window than Llama 3.1 70B Instruct. Both models have similar pricing. Overall, Llama 3.1 70B Instruct is the stronger choice for coding tasks.
Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
Meta
Llama 3.1 8B was developed as an efficient open-source model, designed to bring capable instruction-following to applications with limited computational resources. Built with 8 billion parameters, it provides a lightweight option for developers seeking reliable performance without the overhead of larger models.
Launched on the same date

Llama 3.1 70B Instruct
Meta
2024-07-23

Llama 3.1 8B Instruct
Meta
2024-07-23
Cost per million tokens (USD)

Llama 3.1 70B Instruct

Llama 3.1 8B Instruct
Context window and performance specifications
Average performance across 17 common benchmarks

Llama 3.1 70B Instruct

Llama 3.1 8B Instruct
Llama 3.1 8B Instruct
2023-12-31
Available providers and their performance metrics

Llama 3.1 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq

Llama 3.1 70B Instruct

Llama 3.1 8B Instruct

Llama 3.1 70B Instruct

Llama 3.1 8B Instruct
Hyperbolic
Lambda
Sambanova
Together

Llama 3.1 8B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Hyperbolic
Lambda
Sambanova
Together