Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct leads with 8.9% higher average benchmark score. Llama 3.3 70B Instruct offers 120.0K more tokens in context window than Grok-2. Llama 3.3 70B Instruct is $11.60 cheaper per million tokens. Grok-2 supports multimodal inputs. Llama 3.3 70B Instruct is available on 9 providers. Overall, Llama 3.3 70B Instruct is the stronger choice for coding tasks.
xAI
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). 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. Released in 2024, it represents xAI's latest advancement in AI technology.
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.
3 months newer
Grok-2
xAI
2024-08-13
Llama 3.3 70B Instruct
Meta
2024-12-06
Cost per million tokens (USD)
Grok-2
Llama 3.3 70B Instruct
Context window and performance specifications
Average performance across 12 common benchmarks
Grok-2
Llama 3.3 70B Instruct
Available providers and their performance metrics
Grok-2
xAI
Llama 3.3 70B Instruct
Grok-2
Llama 3.3 70B Instruct
Grok-2
Llama 3.3 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Hyperbolic
Lambda
Sambanova
Together