How does Intern S1 rank among AI models?
Intern S1 is a superseded version and is not on the current board as of 15 September 2026. Its archive position, where one exists, is shown on the page; the newer version carries the current rank.
Internlm·internlm/Intern-S1
Intern S1 is ModelCap archive rank #182 (Modeled · peer benchmarks), from the ModelCap Index as of 15 Sept 2026, 05:33 UTC.
Intern S1 weight access is open weights, from ModelCap classification of published repository metadata as of 15 Sept 2026, 05:33 UTC.
Snapshot facts · download the public dataset · methodology
ModelCap Index · All-versions archive
41.4#182
Estimated · 26% support · score interval 34.0–48.8
No admitted evaluation publication timestamp yet
Superseded by Intern S2 Preview. It no longer holds a current-board position; its all-versions archive rank is #182.
OpenRouter endpoint status could not be refreshed. This model is not treated as currently served until a successful observation arrives.
Input
Self-hosted
weights only · no listed API price
Output
Self-hosted
weights only · no listed API price
Context
—
tokens
Providers
0
endpoints
Gateway spend
—
latest · Vercel share
Providers
Uptime measured over the last 30 minutesCurrent provider status is unavailable.
Reported evaluation leads (1)
Not independent measurementStructured 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. Rows marked as used were laddered against independently measured peers inside the launch-card channel of this model's modeled placement, with the replay-measured optimism haircut applied; the others played no part.
Other versions (1)
ModelCap Index · All-versions archive
Methodology41.4
Modeled · peer benchmarks · calibrated architecture-and-release-era fallback from static public metadata
All-versions archive
#182
- Public rank basis
- Modeled · peer benchmarks (architecture)
- Index support
- 26.0% · limited
- Index interval
- 34.0–48.8
- 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 · internlm/internlm/Intern-S1 · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata internlm/Intern-S1@4ecad381e28293c4825793f113327cc016cdcbda (not the evaluation revision)
- Index observations used
- 0
- Qualified Index evidence point
- 41.4
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
- 41.4 ± 5.8
- Independent share
- 0%
- Shrink toward corpus
- +0.8
- Peer ceiling share
- 0%
- Optimism haircut
- −14.0 points · cross lab probe, 1 probe
- Method
- precision-weighted-v1
- · Launch card row aime-2025: inside the resolved peer range
- · Launch card row gpqa: inside the resolved peer range
- · Launch card row ifeval: inside the resolved peer range
- · Launch card row mmlu-pro: inside the resolved peer range
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)
- 82.5
- Surface (context / tools / modalities)
- 15.0
- Freshness
- 20.4
- · HF 30d downloads 23929
- · Catalogue: modalities Text/Image
- · First seen 2025-07-24
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 policy50.1
31.0–69.2 uncertainty interval
- Confidence
- 67%
- Training support
- 193 models · 110 lineages
- Out-of-domain check
- in domain
- Feature coverage
- 71%
- Lineage-held-out error
- 9.9 MAE
Experimental estimate. This layer predicts from admitted evidence and safe metadata only. It never enters ModelCap Score or rank.
Deployment readiness
Metadata index47.9
partial · 52% metadata coverage
- Artifact reproducibility
- 85.0
- Access & legal clarity
- 100.0
- Deployability
- 8.0
- Evaluation provenance
- 0.0
Missing: artifactReproducibility.base-lineage, 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
- 13.4
- 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
- Liquidity25%
- 0.0
- Open reach15%
- 82.5
- Freshness5%
- 20.4
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Specification
- Context window
- — tokens
- Max output
- —
- Inputs
- Text, Image
- Outputs
- Text
- Tokenizer
- —
- Cached input tokens
- Not offered
- First seen on OpenRouter
- 24 Jul 2025
Capabilities
- Not supported: Reasoning
- Not supported: Tool use
- Not supported: Structured output
- Not supported: Response format
- Not supported: Moderated
Weights & access
Open weights. Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI.
- Access
- Open weights
- Licence
- apache-2.0
- Pinned revision
- 4ecad381e282
- Parameters
- 240.7B
- Architecture
- InternS1ForConditionalGeneration
- Model type
- interns1
- Hugging Face downloads (30d)
- 24K
- Downloads (all time)
- 581K
- Likes
- 258
- Repository
- internlm/Intern-S1
- Repository updated
- 29 Mar 2026, 04:50 UTC
Intern S1: common questions
How much does Intern S1 cost per 1M tokens?
No live API price is listed for Intern S1 in the current snapshot as of 15 September 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.
Is Intern S1 open-weight?
Open weights (apache-2.0). Downloadable weights are published under an OSI or free-culture license in the current repository metadata. This describes weight availability, not whether the full training stack qualifies as Open Source AI. The repository is internlm/Intern-S1 on Hugging Face.
When was Intern S1 released?
Intern S1 first appeared in the catalogue on 24 Jul 2025. It has since been superseded by Intern S2 Preview. Rank and price movements since then are recorded on the site's changes feed.