Comprehensive side-by-side LLM comparison
Llama 4 Maverick leads with 12.6% higher average benchmark score. Llama 4 Maverick offers 1.7M more tokens in context window than Llama 3.3 70B Instruct. Both models have similar pricing. Llama 4 Maverick supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Overall, Llama 4 Maverick is the stronger choice for coding tasks.
Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). 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.
Meta
Llama 4 Maverick is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.8% across 13 benchmarks. It excels particularly in DocVQA (94.4%), MGSM (92.3%), ChartQA (90.0%). With a 2.0M token context window, it can handle extensive documents and complex multi-turn conversations. The model is available through 7 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Meta's latest advancement in AI technology.
4 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
Llama 4 Maverick
Meta
2025-04-05
Cost per million tokens (USD)
Llama 3.3 70B Instruct
Llama 4 Maverick
Context window and performance specifications
Average performance across 17 common benchmarks
Llama 3.3 70B Instruct
Llama 4 Maverick
Available providers and their performance metrics
Llama 3.3 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Llama 3.3 70B Instruct
Llama 4 Maverick
Llama 3.3 70B Instruct
Llama 4 Maverick
Hyperbolic
Lambda
Sambanova
Together
Llama 4 Maverick
DeepInfra
Fireworks
Groq
Lambda
Novita
Sambanova
Together