Nemotron Cascade 8B Thinking is a language model from NVIDIA. It ranks #207 of 360 on ModelCap's current board, with an Index score of 36.1, modeled from the publisher's launch results against measured models. Its score range of 22.6–49.7 spans positions #125–#285. Its weights are downloadable under a use-restricted licence.
Modeled from the publisher's launch results against measured models
Current board
#207 of 360
Score range
22.6–49.7
Rank range
#125–#285
Technical details
Public rank basis
Modeled · peer benchmarks (architecture)
Evidence label
Modeled · peer benchmarks · 6 reported rows against measured corpus ladders (79%); publisher-corpus-prior over 211 held-out anchors (21%); shrunk 0.2 up toward the measured corpus
How this position was produced · fused launch placement
No general-family board lists this model yet. Its point estimate is the precision-weighted mean of every channel that spoke for it; each channel’s share is the weight it carried. Independent measurements replace this placement as boards list the model.
Fused estimate
36.1 ± 10.6
Independent share
0%
Shrink toward corpus
+0.2
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
Channel
Estimate
Share
Corpus ladder · not independent
6 reported rows against measured corpus ladders
35.9 ± 11.9
79%
Publisher corpus prior · not independent
publisher-corpus-prior over 211 held-out anchors
36.9 ± 23.2
21%
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
—
Evidence status
No admitted measured evidence
General preference
—
Coding
—
Agents & tools
—
Reasoning
—
Evidence breadth
0%
Evidence coverage
0%
Market and catalogue signals · secondary, never the language Index rank
Usage (OpenRouter popularity)
—
Liquidity (providers × uptime)
—
Open reach (HF downloads)
—
Surface (context / tools / modalities)
0.0
Freshness
29.2
· Catalogue surface
· First seen 2025-12-08
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
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.
Not yet published: the base model it derives from, a current serving provider, measured provider uptime, published provider pricing, declared context and output limits, admitted benchmark results, results across several capability areas, results from more than one source, a confident match to its benchmark entries, pinned evaluation dataset versions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
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
No matched Arena rating
This model is visible because it is available in the live catalogue, but it has no trustworthy community result yet. ModelCap does not infer a quality score from price, features, or market activity.
Market Gravity breakdown
Usage55%
0.0
OpenRouter weekly popularity across the full model catalogue.
Liquidity25%
0.0
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%
29.2
Time since first public availability, on a six-month half-life.
Specification
Model ID
nvidia/Nemotron-Cascade-8B-Thinking
Declared output cap
Unknown
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
Cached input tokens
Not offered
First seen on OpenRouter
8 Dec 2025
Capabilities
Not supported: Reasoning
Not supported: Tool use
Not supported: Structured output
Not 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.
How does Nemotron Cascade 8B Thinking rank among AI models?
Nemotron Cascade 8B Thinking holds ModelCap Index position #207 of 360 ranked language models as of 27 October 2026, with an Index score of 36.1 (interval 22.6–49.7); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
How much does Nemotron Cascade 8B Thinking cost per 1M tokens?
No live API price is listed for Nemotron Cascade 8B Thinking in the current snapshot as of 27 October 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.
Is Nemotron Cascade 8B Thinking open-weight?
Restricted license (nvidia-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/Nemotron-Cascade-8B-Thinking on Hugging Face.
Which benchmarks has Nemotron Cascade 8B Thinking been evaluated on?
Nemotron Cascade 8B Thinking's Index position rests on the evidence listed on this page; it has no result on the public boards ModelCap tracks as separate leaderboards as of 27 October 2026. The evidence panel names each source and its publication date.
When was Nemotron Cascade 8B Thinking released?
Nemotron Cascade 8B Thinking first appeared in the catalogue on 8 Dec 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.