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HomeModelsStep3 VL 10B

StepFun model product

Step3 VL 10B

STEP3-VL-10B is a lightweight open-source foundation model designed to redefine the trade-off between compact efficiency and frontier-level multimodal intelligence. Built on a unified, fully unfrozen pre-training strategy on 1.2T multimodal tokens integrating a language-aligned Perception Encoder with a Qwen3-8B decoder. Features Parallel Coordinated Reasoning (PaCoRe) to scale test-time compute for complex perceptual reasoning.

Updated Aug 10, 2026. Default version: Step3-VL-10B

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LLMBoard scoreN/ANot scored
CoverageN/ANo published score
Context windowN/ATokens
Official input priceN/AOfficial price unavailable

On this page

  • Specification
  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Versions
  • About
  • Similar models
  • FAQ

Model specification

Structured fields from the published default version.

Version
Step3-VL-10B
Released
Jan 15, 2026
Knowledge cutoff
Unknown
Parameters
10B
Context window
N/A
Max output
N/A
Inputs
image, text
Outputs
text
Open weights
No
License
Apache 2.0

Capability profile

This profile uses the latest version under this unique model that has a calculated LLMBoard score. Arena and price are excluded.

No capability profile

No published version under this unique model currently has enough benchmark coverage to calculate a score.

Benchmark results

Published benchmark records for the scored version currently unavailable.

No benchmark rows

No published benchmark result is linked to the scored version.

Arena results

Preference and agent-evaluation signals from published Arena datasets.

No published Arena match

The default version has no published Arena rows, or its source alias has not been resolved.

Pricing

Official vendor API PAYG pricing is summarized first. The table then lists individual provider offerings without treating their minimum as the official price.

Official API
N/A
Official provider
N/A
Lowest third-party
N/A
Tracked offerings
0
No published price snapshot

The default version has no provider offering with current input or output token prices.

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

Step3 VL 10B versions

All published versions linked to this unique model. The score columns identify the version used by the current overall ranking.

1 rows
Columns

Show columns

Step3-VL-10BJan 15, 2026N/A10BN/AN/ANoApache 2.0

What is Step3 VL 10B?

A concise description based on the published model registry.

STEP3-VL-10B is a lightweight open-source foundation model designed to redefine the trade-off between compact efficiency and frontier-level multimodal intelligence. Built on a unified, fully unfrozen pre-training strategy on 1.2T multimodal tokens integrating a language-aligned Perception Encoder with a Qwen3-8B decoder. Features Parallel Coordinated Reasoning (PaCoRe) to scale test-time compute for complex perceptual reasoning.

Use the benchmark, Arena and pricing sections above as separate evidence. A missing field means the current data snapshot does not support that claim.

Data snapshot: 2026-08-07. Editorial model content is not available in the backend.

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FAQ

Common questions about Step3 VL 10B.

When was Step3 VL 10B released?

Step3 VL 10B's default version was released on Jan 15, 2026.

How much does Step3 VL 10B cost?

No official standard PAYG price is currently available for Step3 VL 10B.

Who created Step3 VL 10B?

Step3 VL 10B is published under StepFun in the model registry.

What is the context window for Step3 VL 10B?

The current registry does not publish a context window for the default version.

Is Step3 VL 10B open weight?

No. The default version is not marked as having publicly available weights.

How many API providers offer Step3 VL 10B?

No published provider offering is currently linked to the default version.

What models should I compare Step3 VL 10B with?

No nearby ranked alternatives are currently available.

Rankings

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Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

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