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ModelCap

Nemotron 3 Super

Arena #210Official publisher releaseRestricted license6.9d #149 → #154

NVIDIA·#154 of 352 on the current board·cheaper than #146 GLM 4.5 Air

Nemotron 3 Super is a language model from NVIDIA. It ranks #154 of 352 on ModelCap's current board, with an Index score of 41.5, measured on 2 public benchmarks. Its score range of 36.0–47.0 spans positions #142–#195. It is listed at $0.075 per million input tokens and $0.40 per million output tokens across 3 providers. It reads up to 1M tokens of context, and its weights are downloadable under a use-restricted licence.

Figures as of 6 Nov 2026, 20:32 UTC · download the public dataset · methodology

ModelCap Index · Current board
41.5#154
Measured on 2 public benchmarks · range 36.0–47.0
Evidence as of 28 Oct 2026, 00:00 UTC
Market Gravity
38.0Increased by 1.5
Secondary market signal
Input
$0.075
per 1M tokens
Output
$0.40
per 1M tokens
Context
1M
tokens
Providers
3
endpoints

Providers

Uptime measured over the last 30 minutes
ProviderInputOutputContextQuantUptime
DeepInfrabf16Cheapest$0.075$0.40262Kbf16100.0%
DekaLLMfp8$0.08$0.45262Kfp8100.0%
Crusoefp8$0.30$2.401Mfp8—

Reported evaluation leads (1)

Not independent measurement

Structured rows reported in this exact model repository at the pinned revision below. They are the publisher talking about itself: never measured evidence, never a score input on their own. They remain quarantined until dataset revision, harness, configuration and identity pass ModelCap’s independent admission review.

Dataset / taskMetricValueRevisionProvenance
Idavidrein/gpqa
diamond
—77.2727
Unpinned
not published
Reported
Quarantined

ModelCap Index · Current board

Methodology
41.5
Measured on 2 public benchmarks
Current board
#154 of 352
Score range
36.0–47.0
Rank range
#142–#195
Evidence as of
28 Oct 2026, 00:00 UTC
Benchmarks used
Arena Coding, Arena Overall
Technical details
Public rank basis
Measured (measured)
Evidence label
Measured · 2 public benchmark observations across 2 boards
Index support
56.3% · strong
Identity binding
Exact catalogue product · nvidia/nvidia/nemotron-3-super-120b-a12b/fp8 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8@744b1880a37996c5d56bf454ae164dfd74d77c4e (not the evaluation revision)
Index observations used
2
Qualified Index evidence point
41.5
Bayesian Evidence Score · measured evidence input only

BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.

Observed capability
41.5
Evidence status
confirmed · 75% mass
General preference
41.4
Coding
41.9
Agents & tools
—
Reasoning
—
Evidence breadth
92%
Evidence coverage
56%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
13.1
Liquidity (providers × uptime)
85.1
Open reach (HF downloads)
—
Surface (context / tools / modalities)
85.0
Freshness
40.1
  • · OpenRouter popularity #158
  • · 3 live providers
  • · Catalogue: context 1048576, reasoning, tools
  • · First seen 2026-03-11

These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.

BES evidence selected · measured input only

The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.

Deployment readiness

Metadata index
84.1
strong · 94% metadata coverage
Not capability
Artifact reproducibility
85.0
Access & legal clarity
92.5
Deployability
99.9
Evaluation provenance
50.4

Not yet published: the base model it derives from, pinned evaluation dataset versions.

A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.

Market activity

Venue coverage
Market Gravity
38.0
OpenRouter weekly popularity
#158 of 339

Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.

Arena preference

Status
Ranked
Source
LMArena
Official rank
#210 of 419
Rating
1359.9
95% confidence interval
1353–1367
Votes
8K
Source published at
28 Oct 2026, 00:00 UTC
Category
overall
Identity match confidence
98%

Market Gravity breakdown

Usage55%
13.1

OpenRouter weekly popularity across the full model catalogue.

Liquidity25%
85.1

Independent providers versus the model's open or closed cohort, weighted by uptime.

Open reach15%
50.0

Hugging Face 30-day downloads for open models; neutral for closed models.

Freshness5%
40.1

Time since first public availability, on a six-month half-life.

Specification

Model ID
nvidia/nemotron-3-super-120b-a12b
Context window
1M tokens
Declared output cap
16K tokens

OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. OpenRouter metadata

Inputs
Text
Outputs
Text
Tokenizer
Other
Cached input tokens
Not offered
First seen on OpenRouter
11 Mar 2026

Capabilities

  • Supported: Reasoning
  • Supported: Tool use
  • Supported: Structured output
  • Supported: Response format
  • Not supported: Moderated

Weights & access

Restricted license. Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment.

Access
Restricted license
Pinned revision
744b1880a379
Parameters
123.6B
Architecture
NemotronHForCausalLM
Model type
nemotron_h
Hugging Face downloads (30d)
41K
Downloads (all time)
2.7M
Likes
291
Repository updated
24 Aug 2026, 23:48 UTC

Compare Nemotron 3 Super with

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Benchmark leaderboards featuring Nemotron 3 Super

All leaderboards
Public benchmark boards on which Nemotron 3 Super has a published result
LeaderboardScoreSource rankConfigurationPublished
Arena text leaderboardArena (LMArena)13601353–1367#210 of 419Not reported28 Oct 2026
Arena coding leaderboardArena (LMArena)14071394–1420#209 of 414Default28 Oct 2026

Alternatives to Nemotron 3 Super, by the numbers

Ranked neighbours

Models within 3 places of #154 on the ModelCap Index.

Cheaper at a similar or higher Index

Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).

Other ranked NVIDIA models

The same publisher's other current models with a public Index position.

Nemotron 3 Super: common questions

How does Nemotron 3 Super rank among AI models?

Nemotron 3 Super holds ModelCap Index position #154 of 352 ranked language models as of 6 November 2026, with an Index score of 41.5 (interval 36.0–47.0); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Nemotron 3 Super cost per 1M tokens?

Nemotron 3 Super is listed at $0.075 per 1M input tokens and $0.40 per 1M output tokens as of 6 November 2026 across 3 providers. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $0.35 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.

What is the context window of Nemotron 3 Super?

Nemotron 3 Super has a published context window of 1M tokens (1,048,576). The snapshot lists a 16,384 token catalogue-declared route output cap. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified. The providers table lists each endpoint's context limit.

Is Nemotron 3 Super open-weight?

Restricted license (nvidia-nemotron-open-model-license). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8 on Hugging Face.

Which API providers serve Nemotron 3 Super?

3 providers serve Nemotron 3 Super through OpenRouter as of 6 November 2026: DeepInfra, DekaLLM and Crusoe. Each provider's price, context limit, quantization and measured uptime are in the providers table above.

Which benchmarks has Nemotron 3 Super been evaluated on?

Nemotron 3 Super has published results on 2 public boards tracked by ModelCap as of 6 November 2026: Arena text 1360 (#210 of 419) and Arena coding 1407 (#209 of 414). Each board page ranks every tracked model on that benchmark. The ModelCap Index scores the results its methodology admits, with published uncertainty, and shows reference boards without scoring them.

How does Nemotron 3 Super compare with Llama 3 3 Nemotron Super 49B v1 5?

Nemotron 3 Super ranks #154 (Index 41.5) and Llama 3 3 Nemotron Super 49B v1 5 ranks #171 (Index 38.9) on the ModelCap Index as of 6 November 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Nemotron 3 Super released?

Nemotron 3 Super first appeared in the catalogue on 11 Mar 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.