Context lengths are 500,000 tokens on Grok 4.5 and 128,000 tokens on Nemotron 3.5 Content Safety (free).
Grok 4.5
Nemotron 3.5 Content Safety (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.
Developed by NVIDIA, Nemotron 3.5 Content Safety is a compact 4B-parameter multimodal guardrail model fine-tuned from Google Gemma-3-4B. Supporting an expansive context length of 128,000 tokens, this model moderates both user inputs and generated responses for LLMs and VLMs. It provides robust safety filtering to ensure aligned and secure interactions across multiple modalities.
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 3.5 Content Safety (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 3.5 Content Safety (free) accepts text and image input and supports reasoning and long context.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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