Nemotron 3 Super Free model profile
Evidence snapshot:
Nemotron 3 Super is a NVIDIA model profile with a 262,144-token context window. The dated catalog snapshot records text modalities and interfaces for reasoning controls, structured output, text generation, tool calling.
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer Mixture-of-Experts architecture with multi-token prediction (MTP), it delivers over 50% higher token generation compared to leading open models. The model features a 1M token context window for long-term agent coherence, cross-document reasoning, and multi-step task planning. Latent MoE enables calling 4 experts for the inference cost of only one, improving intelligence and generalization. Multi-environment RL training across 10+ environments delivers leading accuracy on benchmarks including AIME 2025, TerminalBench, and SWE-Bench Verified. Fully open with weights, datasets, and recipes under the NVIDIA Open License, Nemotron 3 Super allows easy customization and secure deployment anywhere — from workstation to cloud.
Nemotron 3 Super Free is a reference profile: NVIDIA publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.
Nemotron 3 Super Free 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 Free accepts text and returns text. The snapshot records reasoning controls, structured output, text generation, and tool calling as capabilities or interfaces.
No comparable unit price is present in the 2026-09-06 snapshot. A zero placeholder is not presented as a free-price claim.
The 2026-09-06 snapshot includes 2 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.
Nemotron 3 Super Free ranked #43 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.
Profile data was reviewed for the 2026-09-06 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
- 262,144 tokens
- Snapshot date
- 2026-09-06
- Knowledge cutoff
- Not disclosed
- Reference catalog ID
- nvidia/nemotron-3-super-120b-a12b:free
When to pick Nemotron 3 Super Free
Nemotron 3 Super Free is a reference profile: NVIDIA publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call.
Each condition below is derived from this model's own values in the 2026-09-06 snapshot, compared only against models publishing the same field.
- Reach for it when cost is the binding constraint. At $0 in and $0 out per 1M tokens, combined token price sits in the cheapest quarter of the 146 models publishing both rates in this snapshot.
- Reach for it when the model has to call tools. Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose.
- Reach for it when you want to trade depth against cost per call. Reasoning effort is selectable across medium, low, so one route can serve both cheap and deep work.
- Look elsewhere when you need to call it through Kendr today. This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.
Context, modalities, and identity
Nemotron 3 Super Free 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
- 262,144 tokens
- Maximum output
- 235,929 tokens
- Input modalities
- text
- Output modalities
- text
- Knowledge cutoff
- Not disclosed
Model overview
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer Mixture-of-Experts architecture with multi-token prediction (MTP), it delivers over 50% higher token generation compared to leading open models. The model features a 1M token context window for long-term agent coherence, cross-document reasoning, and multi-step task planning. Latent MoE enables calling 4 experts for the inference cost of only one, improving intelligence and generalization. Multi-environment RL training across 10+ environments delivers leading accuracy on benchmarks including AIME 2025, TerminalBench, and SWE-Bench Verified. Fully open with weights, datasets, and recipes under the NVIDIA Open License, Nemotron 3 Super allows easy customization and secure deployment anywhere — from workstation to cloud.
- Reference model ID
- nvidia/nemotron-3-super-120b-a12b:free
- Canonical version
- nvidia/nemotron-3-super-120b-a12b-20230311
- Hugging Face ID
- nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8
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
- include_reasoning, max_tokens, reasoning, reasoning_effort, response_format, seed, structured_outputs, temperature, tool_choice, tools, top_p
- reasoning controls
- structured output
- text generation
- tool calling
Dated pricing snapshot
No comparable unit price is present in the 2026-09-06 snapshot. A zero placeholder is not presented as a free-price claim.
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
- 2026-09-06
- Input
- No verified rate
- Cached input
- No verified rate
- Output
- No verified rate
Provider routes, performance, and uptime
The snapshot retains 1 provider endpoint. Provider prices, context limits, p50 performance, and uptime can differ by route and are not Kendr guarantees.
- Active provider endpoints
- 1
- Best p50 latency
- 1.34 s
- Best p50 throughput
- 57 tok/s
- Availability with routing
- 98.12% over the sampled window
- Availability without routing
- 98.12% over the sampled window
- Performance date
- 2026-09-06
| Provider | Quantization | Input / 1M | Output / 1M | Cache read / 1M | Context | p50 latency | p50 throughput | Uptime (1d) |
|---|---|---|---|---|---|---|---|---|
| NVIDIA | unknown | $0 / 1M | $0 / 1M | No verified rate | 262,144 tokens | 1.34 s | 57 tok/s | 99.68% |
Benchmark evidence and limitations
The 2026-09-06 snapshot includes 2 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.
- Coding Index
- 37.7
- Agentic Index
- 4.2
Popularity and market context
Nemotron 3 Super Free ranked #43 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share.
- Third-party catalog rank
- #43
- Global market share
- Not inferred
- Observation date
- 2026-09-06
Frequently asked questions
When should I use Nemotron 3 Super Free?
Nemotron 3 Super Free is a reference profile: NVIDIA publishes it, Kendr documents it for comparison, and it carries no Kendr alias to call. Reach for it when cost is the binding constraint: At $0 in and $0 out per 1M tokens, combined token price sits in the cheapest quarter of the 146 models publishing both rates in this snapshot. Reach for it when the model has to call tools: Tool calling is recorded in the snapshot, so this route can drive an agent loop rather than only answer in prose. Reach for it when you want to trade depth against cost per call: Reasoning effort is selectable across medium, low, so one route can serve both cheap and deep work. Look elsewhere when you need to call it through Kendr today: This is a research reference profile with no Kendr alias. The facts and evidence here are published for comparison; the model is not routable on Kendr.
What is Nemotron 3 Super Free?
Nemotron 3 Super is a NVIDIA model profile with a 262,144-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 Free have?
The dated profile lists 262,144 tokens of context and up to 235,929 output tokens. Provider routes, variants, and runtime configuration can impose lower effective limits.
What benchmark evidence is available for Nemotron 3 Super Free?
The 2026-09-06 snapshot includes 2 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 Free 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 Free's global market share?
Nemotron 3 Super Free ranked #43 in the cited trailing-7-day third-party catalog usage dataset as of 2026-09-06. Observed within the cited trailing-7-day third-party catalog usage dataset; this is not global AI market share. 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 (catalog, checked 2026-09-06)
- Third-party model catalog methodology (methodology, checked 2026-09-06)
- NVIDIA official model documentation (primary, checked 2026-09-06)
- Artificial Analysis capability indices methodology (benchmark, checked 2026-09-06)