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ModelCap

Arcee SuperNova v1

Current board #173Official publisher releaseRestricted license7d #171 → #173

Arcee AI·arcee-ai/Arcee-SuperNova-v1

Arcee SuperNova v1 is ModelCap current-board rank #173 with Index 17.8 (Modeled · lineage), from the ModelCap Index as of 14 Sept 2026, 22:53 UTC.

Arcee SuperNova v1 weight access is restricted license, from ModelCap classification of published repository metadata as of 14 Sept 2026, 22:53 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
17.8#173
Inherited · 31% support · score interval 0.9–34.7
No admitted evaluation publication timestamp yet
Market Gravity
8.4
Secondary market signal

OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.

Input
Unlisted
no listed API price
Output
Unlisted
no listed API price
Context
tokens
Providers
0
endpoints
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
17.8
Modeled · lineage · finetune of meta-llama/llama-3.1-70b-instruct · finetune (100%)
Current board
#173
Public rank basis
Modeled · lineage (lineage)
Index support
31.0% · moderate
Index interval
0.9–34.7
Rank posterior
Not available
Top 5 / Top 10 probability
Not available / Not available
Posterior as of
Snapshot timestamp unavailable
Evidence as of
No admitted evaluation publication timestamp
Identity binding
Exact catalogue product · arcee-ai/arcee-ai/Arcee-SuperNova-v1 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata arcee-ai/Arcee-SuperNova-v1@7380333e7b4c7da7eef848908b9b4fbe781cebf6 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
17.8
Verified lineage
meta-llama/llama-3.1-70b-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
17.8 ± 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
ChannelEstimateShare
Verified lineage · not independent
finetune of meta-llama/llama-3.1-70b-instruct · finetune
17.8 ± 13.2100%
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
17.2
  • · Catalogue surface
  • · First seen 2025-06-10

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.

Experimental capability estimate

Estimate policy
38.2
19.0–57.3 uncertainty interval
Excluded from rank
Confidence
67%
Training support
192 models · 109 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
10.0 MAE

Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.

Deployment readiness

Metadata index
45.9
partial · 51% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
67.5
Deployability
8.0
Evaluation provenance
0.0

Missing: accessLegalClarity.resolvable-license-terms, deployability.independent-provider-records, deployability.measured-provider-uptime, deployability.published-provider-pricing, deployability.declared-capacity, evaluationProvenance.admitted-evaluation-observations, evaluationProvenance.capability-family-breadth, evaluationProvenance.evaluation-source-diversity, evaluationProvenance.identity-and-source-confidence, evaluationProvenance.evaluation-dataset-revisions.

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

Market activity

Venue coverage
Market Gravity
8.4
OpenRouter weekly popularity
Not listed

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%
17.2

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

Specification

Context window
tokens
Max output
Inputs
Text
Outputs
Text
Tokenizer
Cached input tokens
Not offered
First seen on OpenRouter
10 Jun 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.

Access
Restricted license
Licence
llama3
Pinned revision
7380333e7b4c
Parameters
70.6B
Architecture
LlamaForCausalLM
Model type
llama
Hugging Face downloads (30d)
100
Downloads (all time)
2K
Likes
17
Repository updated
18 Jun 2025, 18:42 UTC

Compare Arcee SuperNova v1 with

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Ranked neighbours

Models within 3 places of #173 on the ModelCap Index.

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

Arcee SuperNova v1: common questions

How does Arcee SuperNova v1 rank among AI models?

Arcee SuperNova v1 holds ModelCap Index position #173 of 191 ranked language models as of 14 September 2026, with an Index score of 17.8 (interval 0.9–34.7); evidence: modeled · lineage. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Arcee SuperNova v1 cost per 1M tokens?

No live API price is listed for Arcee SuperNova v1 in the current snapshot as of 14 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Arcee SuperNova v1 open-weight?

Restricted license (llama3). Downloadable weights use a model-specific or use-restricted license. Review the linked license before use, redistribution, or commercial deployment. The repository is arcee-ai/Arcee-SuperNova-v1 on Hugging Face.

Which benchmarks has Arcee SuperNova v1 been evaluated on?

Arcee SuperNova v1'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 14 September 2026. The evidence panel names each source and its publication date.

How does Arcee SuperNova v1 compare with Olmo 3.1 32B Think?

Arcee SuperNova v1 ranks #173 (Index 17.8) and Olmo 3.1 32B Think ranks #174 (Index 17.7) on the ModelCap Index as of 14 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

When was Arcee SuperNova v1 released?

Arcee SuperNova v1 first appeared in the catalogue on 10 Jun 2025. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.