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Distilled reasoning model based on Llama 3.3 70B using DeepSeek R1 outputs.
No shared demos for these models yet.
No captured outputs for these models yet.
Based on the Capability Index, Grok 4.5 scores higher (88.5 vs 70.2). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
DeepSeek R1 Distill Llama 70B has a lower blended cost. Grok 4.5: $2.00 input / $6.00 output. DeepSeek R1 Distill Llama 70B: $0.80 input / $0.80 output.
Grok 4.5 has a larger context window: Grok 4.5 supports 500K tokens vs DeepSeek R1 Distill Llama 70B at 8K tokens.
Grok 4.5 supports vision/image input, but DeepSeek R1 Distill Llama 70B does not.
Key differences: Grok 4.5 has a notably higher capability index (18.3 point gap); DeepSeek R1 Distill Llama 70B is significantly cheaper; only Grok 4.5 supports vision input. 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 Grok 4.5 and DeepSeek R1 Distill Llama 70B for free on idapt.app to see which performs better for your specific needs.