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ModelCap

Step3 VL 10B

Official publisher releaseOpen weights

Stepfun Ai·#67 of 350 on the current board

Step3 VL 10B is a language model from Stepfun Ai. It ranks #67 of 350 on ModelCap's current board, with an Index score of 61.1, modeled from the publisher's launch results against measured models. Its score range of 42.8–79.5 spans positions #18–#143. Its weights are openly downloadable.

Figures as of 24 Oct 2026, 19:29 UTC · download the public dataset · methodology

ModelCap Index · Current board
61.1#67
Modeled from the publisher's launch results against measured models · range 42.8–79.5
Market Gravity
12.7Decreased by 0.1
Secondary market signal

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

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
61.1
Modeled from the publisher's launch results against measured models
Current board
#67 of 350
Score range
42.8–79.5
Rank range
#18–#143
Technical details
Public rank basis
Modeled · peer benchmarks (architecture)
Evidence label
Modeled · peer benchmarks · global-corpus-prior over 211 held-out anchors (38%); launch card against 2 resolved peers on 4 rows (62%); exceeds every named peer on 3 of 4 rows; no cross-lab optimism probe available; shrunk 5.4 toward the measured corpus
Index support
26.0% · limited
Identity binding
Exact catalogue product · stepfun-ai/stepfun-ai/Step3-VL-10B · aggregates disclosed benchmark configurations · endpoint configuration not claimed · artifact metadata stepfun-ai/Step3-VL-10B@5026053b0c2f5dfaa08fc2d149384162c3c8bca1 (not the evaluation revision)
Index observations used
0
Qualified Index evidence point
61.1
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
61.1 ± 14.3
Independent share
0%
Shrink toward corpus
-5.4
Peer ceiling share
75%
Optimism haircut
None applied
Method
precision-weighted-v1
Channels fused into this model’s launch placement
ChannelEstimateShare
Publisher corpus prior · not independent
global-corpus-prior over 211 held-out anchors
52.3 ± 23.338%
Launch card against resolved peers · not independent
launch card against 2 resolved peers on 4 rows
66.5 ± 18.262%
  • · Launch card row aime-2025: claims above every resolved peer
  • · Launch card row hmmt-2025: claims above every resolved peer
  • · Launch card row livecodebench: claims above every resolved peer
  • · Launch card row mmmu: claims below every resolved peer
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)
73.3
Surface (context / tools / modalities)
15.0
Freshness
33.8
  • · HF 30d downloads 10205
  • · Catalogue: modalities Text/Image
  • · First seen 2026-01-13

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
23.4
7.6–39.2 uncertainty interval
Excluded from rank
Confidence
71%
Training support
221 models · 129 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
8.3 MAE

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

Deployment readiness

Metadata index
52.4
partial · 56% metadata coverage
Not capability
Artifact reproducibility
100.0
Access & legal clarity
100.0
Deployability
8.0
Evaluation provenance
0.0

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 activity

Venue coverage
Market Gravity
12.7
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%
73.3

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

Freshness5%
33.8

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

Specification

Model ID
stepfun-ai/Step3-VL-10B
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, Image
Outputs
Text
Cached input tokens
Not offered
First seen on OpenRouter
13 Jan 2026

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
5026053b0c2f
Parameters
10.2B
Architecture
StepVLForConditionalGeneration
Model type
step_robotics
Hugging Face downloads (30d)
10K
Downloads (all time)
1.9M
Likes
419
Repository updated
4 Feb 2026, 05:40 UTC

Benchmark leaderboards featuring Step3 VL 10B

All leaderboards
Public benchmark boards on which Step3 VL 10B has a published result
LeaderboardScoreSource rankConfigurationPublished
τ²-Bench Telecom (Artificial Analysis run)Artificial Analysis16.1%#121 of 152Reasoning9 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis10.8%#147 of 265Reasoning9 Sept 2026

Alternatives to Step3 VL 10B, by the numbers

Ranked neighbours

Models within 3 places of #67 on the ModelCap Index.

Other ranked Stepfun Ai models

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

Step3 VL 10B: common questions

How does Step3 VL 10B rank among AI models?

Step3 VL 10B holds ModelCap Index position #67 of 350 ranked language models as of 24 October 2026, with an Index score of 61.1 (interval 42.8–79.5); evidence: modeled · peer benchmarks. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.

How much does Step3 VL 10B cost per 1M tokens?

No live API price is listed for Step3 VL 10B in the current snapshot as of 24 October 2026 because the latest endpoint refresh was unavailable. ModelCap shows a price only when a provider currently lists one.

Is Step3 VL 10B 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 stepfun-ai/Step3-VL-10B on Hugging Face.

Which benchmarks has Step3 VL 10B been evaluated on?

Step3 VL 10B has published results on 2 public boards tracked by ModelCap as of 24 October 2026: AA τ²-Bench Telecom 16.1% (#121 of 152) and AA Humanity's Last Exam 10.8% (#147 of 265). 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.

When was Step3 VL 10B released?

Step3 VL 10B first appeared in the catalogue on 13 Jan 2026. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.