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ModelCap

Step3 VL 10B

Current board #44Official publisher releaseOpen weights7d #48 → #44

Stepfun Ai·stepfun-ai/Step3-VL-10B

Step3 VL 10B is ModelCap current-board rank #44 with Index 60.6 (Modeled · peer benchmarks), from the ModelCap Index as of 9 Sept 2026, 22:02 UTC.

Step3 VL 10B weight access is open weights, from ModelCap classification of published repository metadata as of 9 Sept 2026, 22:02 UTC.

Snapshot facts · download the public dataset · methodology

ModelCap Index · Current board
60.6#44
Estimated · 26% support · score interval 48.4–72.7
No admitted evaluation publication timestamp yet
Market Gravity
13.2
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
Gateway spend
latest · Vercel share

Providers

Uptime measured over the last 30 minutes

Current provider status is unavailable.

ModelCap Index · Current board

Methodology
60.6
Modeled · peer benchmarks · calibrated architecture-and-release-era fallback from static public metadata
Current board
#44
Public rank basis
Modeled · peer benchmarks (architecture)
Index support
26.0% · limited
Index interval
48.4–72.7
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 · 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
60.6
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
60.6 ± 9.5
Independent share
0%
Shrink toward corpus
-1.4
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 180 held-out anchors
54.0 ± 22.518%
Launch card against resolved peers · not independent
launch card against 2 resolved peers on 4 rows
62.0 ± 10.582%
  • · 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)
74.3
Surface (context / tools / modalities)
15.0
Freshness
40.2
  • · HF 30d downloads 18822
  • · 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
41.7
23.0–60.3 uncertainty interval
Excluded from rank
Confidence
68%
Training support
185 models · 106 lineages
Out-of-domain check
in domain
Feature coverage
71%
Lineage-held-out error
10.3 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

Missing: 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
13.2
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%
74.3

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

Freshness5%
40.2

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
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)
19K
Downloads (all time)
1.8M
Likes
414
Repository updated
4 Feb 2026, 05:40 UTC

Compare Step3 VL 10B with

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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%#374 of 436tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Step3 VL 10B":reasoning=true9 Sept 2026
Humanity's Last Exam (Artificial Analysis run)Artificial Analysis10.8%#266 of 603hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Step3 VL 10B":reasoning=true9 Sept 2026

Alternatives to Step3 VL 10B, by the numbers

Ranked neighbours

Models within 3 places of #44 on the ModelCap Index.

Step3 VL 10B: common questions

How does Step3 VL 10B rank among AI models?

Step3 VL 10B holds ModelCap Index position #44 of 156 ranked language models as of 9 September 2026, with an Index score of 60.6 (interval 48.4–72.7); 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 9 September 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 9 September 2026: AA τ²-Bench Telecom 16.1% (#374 of 436) and AA Humanity's Last Exam 10.8% (#266 of 603). Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.

How does Step3 VL 10B compare with Kimi K2.7 Code?

Step3 VL 10B ranks #44 (Index 60.6) and Kimi K2.7 Code ranks #45 (Index 60.0) on the ModelCap Index as of 9 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.

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.