Compare Nvidia Nemotron 3 Super 120B A12B from Nvidia and Qwen3.8 Max from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Nvidia Nemotron 3 Super 120B A12B
Qwen3.8 MaxAn open-source, efficient hybrid Mamba-Transformer MoE model that supports a context length of one million tokens and excels at agent reasoning, programming, planning, and tool invocation.
Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Estimate your monthly bill for the same workload on each model.
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Nvidia Nemotron 3 Super 120B A12B: $0.55/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
Nvidia Nemotron 3 Super 120B A12B accepts 1,000,000 and Qwen3.8 Max accepts 1,000,000 input tokens.
Nvidia Nemotron 3 Super 120B A12B accepts text input and supports thinking, tool calling, function calling, structured outputs and long context; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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