Models.dev

An open-source database of AI models

Step 5 Preview

StepFun's next-generation flagship base model for coding and professional knowledge work, with native text, image, and video input and a 1M-token context window

stepfun/step-5-preview
Lab
StepFun
Family
-
Providers
9
Context
1,000,000
Output limit
1,000,000
Knowledge
-
Release
2026-09-16
Updated
2026-09-20
Weights
Closed
Input
Output types
Capabilities
tools, reasoning, structured

Providers

9
Provider Lab Model ID Context Output Price Reasoning Tool Call Structured Temperature
AIHubMixStepFunstep-5-preview1,000,0001,000,000$1.08 / $3.09YesYesYes-
Eden AIStepFuntencent/step-5-preview1,000,0001,000,000$1.00 / $2.70YesNoNo-
EmpirioLabs AIStepFunstep-5-preview1,024,000131,072$1.00 / $2.70YesYesYesYes
NanoGPTStepFunstepfun/step-5-preview1,000,0001,000,000$1.00 / $2.70YesYesYes-
StepFun (China)StepFunstep-5-preview1,000,00065,536$0.96 / $2.74YesYesYes-
StepFun (Global)StepFunstep-5-preview1,024,00065,536$1.00 / $2.70YesYesYes-
StepFun Step Plan (China)StepFunstep-5-preview1,000,00065,536-YesYesYes-
StepFun Step Plan (Global)StepFunstep-5-preview1,000,00065,536-YesYesYes-
Vercel AI GatewayStepFunstepfun/step-5-preview1,000,0001,000,000$1.00 / $2.70NoNoYes-
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How to use

Models.dev is a comprehensive open-source database of AI model specifications, pricing, and features.

The homepage starts with provider-agnostic model metadata. Model pages list the providers serving that model; provider pages list every model available from that provider; lab pages group canonical models by author.

API

You can access provider data, provider-agnostic model metadata, or the combined catalog through JSON endpoints. Specialized model types are omitted by default; the site includes all model types.

Logos

Provider logos are available at /logos/{provider}.svg where {provider} is the provider ID. Lab logos are available at /logos/labs/{lab}.svg.

SDK

Use the SDK to query the API from your app. It's type-safe and exports the latest snapshot for offline use.

Contribute

The data is stored in GitHub as TOML files organized by provider and canonical model.