Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct leads with 18.5% higher average benchmark score. Grok-4 offers 8.0K more tokens in context window than Llama 3.3 70B Instruct. Llama 3.3 70B Instruct is $17.60 cheaper per million tokens. Grok-4 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-4 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 63.1% across 7 benchmarks. It excels particularly in AIME 2025 (91.7%), HMMT25 (90.0%), GPQA (87.5%). It supports a 264K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, 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.
7 months newer
Llama 3.3 70B Instruct
Meta
2024-12-06
Grok-4
xAI
2025-07-09
Cost per million tokens (USD)
Grok-4
Llama 3.3 70B Instruct
Context window and performance specifications
Average performance across 15 common benchmarks
Grok-4
Llama 3.3 70B Instruct
Grok-4
2024-12-31
Available providers and their performance metrics
Grok-4
xAI
ZeroEval
Grok-4
Llama 3.3 70B Instruct
Grok-4
Llama 3.3 70B Instruct
Llama 3.3 70B Instruct
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