Compare DeepSeek R1 Distill Llama 70B from DeepSeek and Grok 4.5 from Grok on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
DeepSeek R1 Distill Llama 70B
Grok 4.5Provided by Groq, the DeepSeek-R1-Distill model is fine-tuned based on an open-source model, using samples generated by DeepSeek-R1. We have made slight modifications to their configurations and tokenizers. Please use our settings to run these models.
Grok 4.5 was trained on datasets spanning knowledge in coding, science, engineering, and math. With both intelligent and efficient reasoning, Grok 4.5 excels at real engineering tasks and exceeds comparable leading models at these tasks.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
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DeepSeek R1 Distill Llama 70B: $1.60/M output tokens; Grok 4.5: $6.00/M. Use the cost calculator above to estimate your own workload.
DeepSeek R1 Distill Llama 70B: 1.2s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
DeepSeek R1 Distill Llama 70B at 101.4 tok/s and Grok 4.5 at 30.9 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
DeepSeek R1 Distill Llama 70B accepts text input and supports thinking; Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context.
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