Meta's efficient 70B model matching Llama 3.1 405B on key benchmarks.
xAI's smartest model, with frontier performance on coding, knowledge work, and STEM.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Llama 3.3 70B and Grok 4.6 are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
Llama 3.3 70B has a lower blended cost. Llama 3.3 70B: $0.13 input / $0.40 output. Grok 4.6: $2.00 input / $6.00 output.
Grok 4.6 has a larger context window: Llama 3.3 70B supports 131K tokens vs Grok 4.6 at 500K tokens.
Grok 4.6 supports vision/image input, but Llama 3.3 70B does not.
Key differences: Llama 3.3 70B is significantly cheaper; only Grok 4.6 supports vision input; only Grok 4.6 offers extended reasoning mode. Compare full specs on this page.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Llama 3.3 70B and Grok 4.6 for free on idapt.app to see which performs better for your specific needs.