Context lengths are 262,144 tokens on Nemotron 3 Super 120B A12B (free) and 983,616 tokens on Qwen3.8 Max Preview.
Nemotron 3 Super 120B A12B (free)
Qwen3.8 Max PreviewNVIDIA 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.
Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Nemotron 3 Super 120B A12B (free) accepts 262,144 and Qwen3.8 Max Preview accepts 983,616 input tokens.
Nemotron 3 Super 120B A12B (free) accepts text input and supports reasoning, tool calling and long context; Qwen3.8 Max Preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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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