Compare Grok 4.5 from Grok and Nemotron Nano 9B V2 (free) from Nvidia on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Grok 4.5
Nemotron Nano 9B V2 (free)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.
NVIDIA-Nemotron-Nano-9B-v2-free is a large language model trained from scratch by NVIDIA. Designed as a unified model, it efficiently handles both reasoning and non-reasoning tasks to respond to a wide range of user queries. With a generous context length of 128,000 tokens, it is highly capable of processing long and complex documents.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Grok 4.5 accepts 500,000 and Nemotron Nano 9B V2 (free) accepts 128,000 input tokens.
Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Nemotron Nano 9B V2 (free) accepts text input and supports reasoning, tool calling and long context.
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