Model details
Step 1 (32K)
Step-1 (32K) belongs to StepFun's step-1 series of text large models, which the provider describes as generative AI systems trained on large datasets to understand and produce natural language. The 32K suffix signals an extended-context variant within that family, sitting alongside sibling identifiers such as step-1v-32k and step-1-200k in third-party relay adapter listings, indicating that it is positioned as a long-context text option in the StepFun catalog rather than a multimodal endpoint. StepFun's own documentation frames the series around prompt-driven usage, where a well-designed instruction tells the model what task to perform and supplies the relevant context, making prompt design the primary lever developers use to shape output quality and relevance.
The intended use profile documented for the step-1 family centers on general natural language work: content and code generation, summarization, translation, question answering, creative writing, language understanding tasks such as sentiment analysis or text classification, and conversational systems including chatbots and virtual assistants. That breadth makes the model a practical fit for builders who need a single text model that can handle drafting, rewriting, retrieval-augmented answering, and multi-turn dialogue against a long prompt, while leaving more specialized image and video understanding to StepFun's separate multimodal offerings. Aggregator coverage on comparison sites like HyperAI confirms that step-1-32k is treated as a recognized StepFun text model for side-by-side evaluation, though independent benchmark numbers were not surfaced in the available evidence.
Quick Info
Powered by- Provider
- StepFun (China)
- Model key
- step-1-32k
- Release date
- Jan 1, 2025
- Last updated
- Feb 13, 2026
- Knowledge cutoff
- 2024-06
- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $2.05
- Output token cost
- $9.59
Limits
- Input tokens
- 32,768 tokens
- Output tokens
- 32,768 tokens
- Context window
- 32,768 tokens
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