---
title: "Nemotron 3 Super AI model: facts and benchmarks | Kendr"
canonical: "https://kendr.org/models/nvidia-nemotron-3-super-120b-a12b"
date_modified: "2026-08-12"
profile_kind: "reference"
---

# Nemotron 3 Super model profile

Nemotron 3 Super is a NVIDIA model profile with a 1,000,000-token context window. The dated catalog snapshot records text modalities and interfaces for reasoning controls, structured output, text generation, tool calling.

Nemotron 3 Super is an independent knowledge profile. It does not claim that Kendr hosts the model, quote a Kendr customer price, promise API availability, or advertise a Kendr routing receipt.

Nemotron 3 Super accepts text and returns text. The snapshot records reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces.

The dated reference snapshot lists $0.085 input and $0.4 output per million tokens.

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.

Profile data was reviewed for the 2026-08-12 snapshot. Claims retain their source dates, and unavailable fields are shown as unavailable instead of estimated.

## Profile facts

- **Profile type:** Model research profile
- **Provider or publisher:** NVIDIA
- **Context window:** 1,000,000 tokens
- **Snapshot date:** 2026-08-12
- **Reference catalog ID:** nvidia/nemotron-3-super-120b-a12b

## Context, modalities, and identity

Nemotron 3 Super accepts text and returns text. The snapshot records reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces.

- **Provider or publisher:** NVIDIA
- **Context window:** 1,000,000 tokens
- **Maximum output:** 16,384 tokens
- **Input modalities:** text
- **Output modalities:** text
- **Knowledge cutoff:** Not disclosed

## Capabilities and supported controls

Capabilities and parameters are reported from the dated catalog and source records; their presence does not guarantee identical behavior across every provider route.

- **Supported parameters:** frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

- reasoning controls
- structured output
- text generation
- tool calling

## Dated pricing snapshot

The dated reference snapshot lists $0.085 input and $0.4 output per million tokens.

These are dated third-party reference prices, not Kendr prices or an availability offer. Routes, tiers, caching, region, and provider policy can change the landed price.

- **Price date:** 2026-08-12
- **Input:** $0.085 per 1M tokens
- **Cached input:** No verified rate
- **Output:** $0.4 per 1M tokens

## Benchmark evidence and limitations

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable.

Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

- **Intelligence Index:** 25.7
- **Coding Index:** 37.7
- **Agentic Index:** 8.8

## Popularity and market context

No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated.

- **Third-party catalog rank:** No verified rank
- **Global market share:** Not inferred
- **Observation date:** 2026-08-12

## Frequently asked questions

### What is Nemotron 3 Super?

Nemotron 3 Super is a NVIDIA model profile with a 1,000,000-token context window. The dated catalog snapshot records text modalities and interfaces for reasoning controls, structured output, text generation, tool calling.

### What context window does Nemotron 3 Super have?

The dated profile lists 1,000,000 tokens of context and up to 16,384 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.

### What benchmark evidence is available for Nemotron 3 Super?

The 2026-08-12 snapshot includes 3 Artificial Analysis indexes. Publisher-reported launch results are labeled and are not presented as Kendr measurements; scores from different suites are not treated as interchangeable. Third-party catalog fields normalized from the cited model dataset; benchmark methodology and coverage differ by source.

### Is Nemotron 3 Super available through Kendr?

This is an independent knowledge profile, not a Kendr-hosted availability claim. Check Kendr's live public model API for currently enabled Kendr aliases.

### Does the popularity rank represent Nemotron 3 Super's global market share?

No comparable popularity rank or traffic share is present in the 2026-08-12 snapshot. No comparable routing rank or traffic-share observation is attached to this dated profile; missing adoption evidence is not estimated. No global market-share percentage is inferred when the source does not publish one.

## Sources and evidence dates

- [Nemotron 3 Super third-party catalog record](https://openrouter.ai/nvidia/nemotron-3-super-120b-a12b) — catalog, checked 2026-08-12
- [Third-party model catalog methodology](https://openrouter.ai/docs/guides/overview/models) — methodology, checked 2026-08-12
- [NVIDIA official model documentation](https://build.nvidia.com/models) — primary, checked 2026-08-12
- [Artificial Analysis capability indices methodology](https://artificialanalysis.ai/methodology/capability-indices) — benchmark, checked 2026-08-12

Live Kendr operational availability is published separately at https://api.kendr.org/api/public/models.
