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Explore the models available through Noumen. Compare capabilities, context windows, and reference pricing, then see which models people use most and how they score on public benchmarks.

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The newest models available through Noumen, ready to use in the app and the API.

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13 models
  • Nvidia Nemotron 3.5 Super VLnvidiaCapabilities: Reasoning, Tools, Vision, Structured output, Video inputContext262.1KInput / 1M$0.15Output / 1M$0.5Show model details

    NVIDIA’s open-weight 120B model (12B active) for reasoning, coding, tool use, document and GUI understanding, and video understanding. Text, images and video in; text out. A 262,144-token shared context window with responses limited to 16,384 tokens. OpenMDW 1.1 license.

    Model ID
    nvidia/nemotron-3.5-super-vl
    Discovery tier
    Open weights
    Context window
    262,144 tokens
    Benchmarks, speed and comparisons
  • Nemotron 3.5 Content SafetynvidiaCapabilities: ReasoningContext131.1KInput / 1M$0.05Output / 1M$0.15Show model details

    Nemotron 3.5 Content Safety is a content moderation classifier that labels user messages and assistant responses as safe or unsafe. It supports a 131,072-token context window and optional reasoning.

    Model ID
    nvidia/nemotron-3.5-content-safety
    Discovery tier
    Open weights
    Context window
    131,072 tokens
    Benchmarks, speed and comparisons
  • Nvidia Nemotron 3.5 Lightning TEEnvidiaCapabilities: Reasoning, Tools, Structured outputContext262.1KInput / 1M$0.08Output / 1M$0.2Show model details

    NVIDIA's open-weight 30B mixture-of-experts model with 3B active parameters for fast agentic workflows, coding, and tool use. Running inside a TEE (Trusted Execution Environment), with provider attestation support.

    Model ID
    TEE/nemotron-3.5-lightning
    Discovery tier
    Open weights
    Context window
    262,144 tokens
    Benchmarks, speed and comparisons
  • Nvidia Nemotron 3.5 LightningnvidiaCapabilities: Reasoning, Tools, Parallel toolsContext1MInput / 1M$0.05Output / 1M$0.2Show model details

    Nvidia Nemotron 3.5 Lightning is an open-weight 30B-A3B hybrid Mamba-Transformer mixture-of-experts model for high-throughput agentic, coding, tool-use, instruction-following, and long-context workloads. Thinking is disabled on this variant.

    Model ID
    nvidia/nemotron-3.5-lightning
    Discovery tier
    Open weights
    Context window
    1,000,000 tokens
    Benchmarks, speed and comparisons
  • Nvidia Nemotron 3.5 Lightning ThinkingnvidiaCapabilities: Reasoning, Tools, Parallel toolsContext1MInput / 1M$0.05Output / 1M$0.2Show model details

    Nvidia Nemotron 3.5 Lightning is an open-weight 30B-A3B hybrid Mamba-Transformer mixture-of-experts model for high-throughput agentic, coding, tool-use, instruction-following, and long-context workloads. This variant enables its reasoning trace.

    Model ID
    nvidia/nemotron-3.5-lightning:thinking
    Discovery tier
    Open weights
    Context window
    1,000,000 tokens
    Benchmarks, speed and comparisons
  • Nvidia Nemotron 3 Ultra 550BnvidiaCapabilities: Reasoning, Tools, Parallel toolsContext1MInput / 1M$0.5Output / 1M$2.5Show model details

    Nvidia's Nemotron 3 Ultra 550B A55B model from the Nemotron 3 family. It uses a hybrid Mamba-Transformer MoE architecture. Provider-specific context limits vary, with the longest current route supporting up to 1M context.

    Model ID
    nvidia/nemotron-3-ultra-550b-a55b
    Discovery tier
    Open weights
    Context window
    1,000,000 tokens
    Benchmarks, speed and comparisons
  • Nvidia Nemotron 3 Ultra 550B ThinkingnvidiaCapabilities: Reasoning, Tools, Parallel toolsContext1MInput / 1M$0.5Output / 1M$2.5Show model details

    Nvidia's Nemotron 3 Ultra 550B A55B model from the Nemotron 3 family. It uses a hybrid Mamba-Transformer MoE architecture. Provider-specific context limits vary, with the longest current route supporting up to 1M context. Thinking enabled.

    Model ID
    nvidia/nemotron-3-ultra-550b-a55b:thinking
    Discovery tier
    Open weights
    Context window
    1,000,000 tokens
    Benchmarks, speed and comparisons
  • Nvidia Nemotron 3 Nano 30BnvidiaCapabilities: Text generationContext262.1KInput / 1M$0.17Output / 1M$0.68Show model details

    Nvidia's latest Nemotron 3 Nano model with 30B total parameters (3B active) using hybrid Mamba-Transformer MoE architecture. Features excellent throughput and strong reasoning capabilities.

    Model ID
    nvidia/nemotron-3-nano-30b-a3b
    Discovery tier
    Open weights
    Context window
    262,144 tokens
    Benchmarks, speed and comparisons
  • Nvidia Nemotron 3 Super 120BnvidiaCapabilities: ReasoningContext262.1KInput / 1M$0.05Output / 1M$0.25Show model details

    Nvidia's Nemotron 3 Super 120B A12B model from the March 2026 Nemotron 3 release. It uses a hybrid Mamba-Transformer MoE architecture and targets agentic and coding workloads with a 262K context window here.

    Model ID
    nvidia/nemotron-3-super-120b-a12b
    Discovery tier
    Open weights
    Context window
    262,144 tokens
    Benchmarks, speed and comparisons
  • Nvidia Nemotron 3 Super 120B ThinkingnvidiaCapabilities: ReasoningContext262.1KInput / 1M$0.05Output / 1M$0.25Show model details

    Nvidia Nemotron 3 Super 120B with reasoning content enabled. Returns separate thinking content when requested.

    Model ID
    nvidia/nemotron-3-super-120b-a12b:thinking
    Discovery tier
    Open weights
    Context window
    262,144 tokens
    Benchmarks, speed and comparisons
  • OpenReasoning Nemotron 32BnvidiaCapabilities: ReasoningContext32.8KInput / 1M$0.1Output / 1M$0.4Show model details

    OpenReasoning-Nemotron-32B is a reasoning model derived from Qwen2.5-32B-Instruct, post-trained for math, science, and code solution generation. Evaluated with up to 64K output tokens. Available in multiple sizes: 1.5B, 7B, 14B, and 32B.

    Model ID
    pamanseau/OpenReasoning-Nemotron-32B
    Discovery tier
    Open weights
    Context window
    32,768 tokens
    Benchmarks, speed and comparisons
  • Nvidia Nemotron Super 49BnvidiaCapabilities: Text generationContext128KInput / 1M$0.15Output / 1M$0.15Show model details

    Llama-3.3-Nemotron-Super-49B-v1 is a model which offers a great tradeoff between model accuracy and efficiency. Efficiency (throughput) directly translates to savings. Using a novel Neural Architecture Search (NAS) approach, we greatly reduce the model's memory footprint, enabling larger workloads, as well as fitting the model on a single GPU at high workloads (H200). This NAS approach enables the selection of a desired point in the accuracy-efficiency tradeoff. For more information on the NAS approach, please refer to this paper.

    Model ID
    nvidia/Llama-3.3-Nemotron-Super-49B-v1
    Discovery tier
    Open weights
    Context window
    128,000 tokens
    Benchmarks, speed and comparisons
  • Nvidia Nemotron 70bnvidiaCapabilities: Text generationContext16.4KInput / 1M$0.357Output / 1M$0.408Show model details

    Nvidia's latest Llama fine-tune optimized for instruction following. Early results hints that it might outperform models such as GPT-4o and Claude 3.5 Sonnet.

    Model ID
    nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
    Discovery tier
    Open weights
    Context window
    16,384 tokens
    Benchmarks, speed and comparisons

Reference pricing in USD per 1M tokens, as published by model providers. Discovery tiers describe model metadata, rather than benchmark rankings.