Context lengths are 500,000 tokens on Grok 4.5 and 262,144 tokens on Nemotron 3 Super 120B A12B (free).
Grok 4.5
Nemotron 3 Super 120B A12B (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 3 Super is a 120B-parameter open hybrid MoE model built on a hybrid Mamba-Transformer architecture. Activating just 12B parameters, it delivers maximum compute efficiency and accuracy for complex multi-agent applications. Additionally, it features an expansive context length of 262,144 tokens to handle large-scale inputs seamlessly.
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.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
Grok 4.5 accepts 500,000 and Nemotron 3 Super 120B A12B (free) accepts 262,144 input tokens.
Grok 4.5 accepts text and image input and supports thinking, tool calling, function calling, structured outputs and long context; Nemotron 3 Super 120B A12B (free) accepts text input and supports reasoning, tool calling 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.
Related model match-ups readers also look at.
AIHubMix