Llama 3.3 Nemotron 70B Feedback is a language model from NVIDIA. It ranks #241 of 352 on ModelCap's current board, with an Index score of 29.6, carried over from the model it is built on. Its score range of 12.7–46.5 spans positions #144–#314. Its weights are downloadable under a use-restricted licence.
meta-llama/llama-3.3-70b-instruct · minus 1.2 ( finetune)
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
29.6 ± 13.2
Independent share
0%
Shrink toward corpus
0.0
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
Channel
Estimate
Share
Verified lineage · not independent
finetune of meta-llama/llama-3.3-70b-instruct · finetune
29.6 ± 13.2
100%
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
10.1
· Catalogue surface
· First seen 2025-03-14
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: 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%
10.1
Time since first public availability, on a six-month half-life.
Specification
Model ID
nvidia/Llama-3.3-Nemotron-70B-Feedback
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
14 Mar 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 Llama 3.3 Nemotron 70B Feedback rank among AI models?
Llama 3.3 Nemotron 70B Feedback holds ModelCap Index position #241 of 352 ranked language models as of 6 November 2026, with an Index score of 29.6 (interval 12.7–46.5); evidence: modeled · lineage. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
How much does Llama 3.3 Nemotron 70B Feedback cost per 1M tokens?
No live API price is listed for Llama 3.3 Nemotron 70B Feedback in the current snapshot as of 6 November 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.
Is Llama 3.3 Nemotron 70B Feedback 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/Llama-3.3-Nemotron-70B-Feedback on Hugging Face.
Which benchmarks has Llama 3.3 Nemotron 70B Feedback been evaluated on?
Llama 3.3 Nemotron 70B Feedback'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 6 November 2026. The evidence panel names each source and its publication date.
When was Llama 3.3 Nemotron 70B Feedback released?
Llama 3.3 Nemotron 70B Feedback first appeared in the catalogue on 14 Mar 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.