Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct leads with 4.3% higher average benchmark score. Llama 4 Scout offers 19.7M more tokens in context window than Llama 3.3 70B Instruct. Both models have similar pricing. Llama 4 Scout supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
Meta
Llama 3.3 70B was introduced with refinements to the Llama 3 architecture, designed to incorporate improvements in instruction-following and task performance. Built to continue the evolution of Meta's 70B tier, it provides enhanced quality while maintaining the deployment characteristics valued by the open-source community.
Meta
Llama 4 Scout was created as an exploratory variant in the Llama 4 family, designed to investigate new architectures and optimization strategies. Built as part of Meta's commitment to advancing open-source AI, it serves as a testbed for innovations that may inform future model releases.
4 months newer

Llama 3.3 70B Instruct
Meta
2024-12-06

Llama 4 Scout
Meta
2025-04-05
Cost per million tokens (USD)

Llama 3.3 70B Instruct

Llama 4 Scout
Context window and performance specifications
Average performance across 5 common benchmarks

Llama 3.3 70B Instruct

Llama 4 Scout
Available providers and their performance metrics

Llama 3.3 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq

Llama 3.3 70B Instruct

Llama 4 Scout

Llama 3.3 70B Instruct

Llama 4 Scout
Hyperbolic
Lambda
Sambanova
Together

Llama 4 Scout
DeepInfra
Fireworks
Groq
Lambda
Novita
Together