S
stepfun/step-5-preview

stepfun/step-5-preview

發布時間: 2026-10-08

1,048,576 context · $1.00/M input tokens · $2.70/M output tokens

Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in software engineering and professional...

定價

按用量付費

無需預付費用,僅按實際使用量付費

輸入$1.00 / M Tokens
輸出$2.70 / M Tokens
Cache Read$0.10 / M Tokens

試用模型

stepfun/step-5-preview
線上
S
嗨!我是樂於助人的 AI 助理。有什麼可以幫你的嗎?
準備在本機編碼 Agent 中使用這個模型嗎?Agent 設定

API 使用

使用以下程式碼範例整合我們的 API:

import OpenAI from 'openai';

if (!process.env.WAVESPEED_API_KEY) throw new Error('Set WAVESPEED_API_KEY');
const client = new OpenAI({
  apiKey: process.env.WAVESPEED_API_KEY,
  baseURL: 'https://llm.wavespeed.ai/v1',
  timeout: 120_000,
  maxRetries: 0,
});

try {
  const response = await client.chat.completions.create({
    model: 'stepfun/step-5-preview',
    messages: [{ role: 'user', content: 'Hello!' }],
  });
  const body = response as typeof response & { error?: { message?: string } };
  if (body.error) throw new Error(body.error.message || 'LLM generation failed');
  console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
  console.error('LLM request failed:', error);
  process.exitCode = 1;
}

模型介紹

StepFun: Step 5 Preview

Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in software engineering and professional...

This model is available through the WaveSpeed AI OpenAI-compatible API for chat completions and compatible application workflows.


Why It Looks Great

  • text+image+video->text architecture for Text, Image, Video to Text workloads
  • 1048576 context window for long prompts, document analysis, and multi-turn workflows
  • Vision input support for image understanding and multimodal tasks
  • Function calling and tool-use support for agentic application workflows
  • Structured output support for JSON responses and schema-constrained generation
  • Reasoning controls available through supported parameters

Key Features

  • Context Window: 1048576 tokens
  • Max Input: 984576 tokens
  • Max Output: 64000 tokens
  • Vision: Supported
  • Function Calling: Supported
  • Structured Outputs: Supported
  • Image Generation: Not listed
  • Audio Input: Not listed
  • Supported Parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, reasoning_effort, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p

Specifications

SpecificationValue
Providerstepfun
Model TypeChat Completions model
Architecturetext+image+video->text
Context Window1048576 tokens
Max Input984576 tokens
Max Output64000 tokens
InputText, Image, Video
OutputText
VisionSupported
Function CallingSupported
Structured OutputsSupported
Release DateOctober 8, 2026

How to Use

  1. Write your prompt - describe the task, provide context, and specify the desired output format.
  2. Submit - the model processes your request and returns the response.

API Integration

Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: stepfun/step-5-preview


API Usage

Python SDK

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://llm.wavespeed.ai/v1"
)

response = client.chat.completions.create(
    model="stepfun/step-5-preview",
    messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)

cURL

curl https://llm.wavespeed.ai/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model": "stepfun/step-5-preview",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Notes

  • Model: stepfun/step-5-preview
  • Provider: stepfun

資訊

提供商stepfun
類型llm

支援功能

輸入
文字影像
輸出
文字
上下文1,048,576
最大輸出64,000
視覺✓ 支援
函式呼叫✓ 支援

API 存取指南

Base URLhttps://llm.wavespeed.ai/v1
API 端點chat/completions
Model IDstepfun/step-5-preview

Step 5 Preview API

stepfun/step-5-preview

Step 5 Preview is StepFun's flagship model for agentic work, built on a sparse Mixture-of-Experts architecture (27B active / 600B total parameters). It performs strongly in software engineering and professional...

輸入

$1 /M

輸出

$2.7 /M

上下文

1049K

最大輸出

64K

Vision

支援

工具調用

支援

在 WaveSpeedAI 試用 Step 5 Preview

透過我們的統一 API 接入 Step 5 Preview — 相容 OpenAI、無冷啟動、透明計費。

關於 Step 5 Preview 的常見問題

Step 5 Preview API 多少錢?+

WaveSpeedAI 定價:輸入每百萬 token $1.00,輸出每百萬 token $2.70。Prompt 快取與批次處理分別計費,可顯著降低長上下文、高重複任務的實際成本。

Step 5 Preview 的上下文視窗有多大?+

Step 5 Preview 每次請求最多支援 1049K 上下文 token,輸出最多 64K token。

Step 5 Preview 是否相容 OpenAI?+

WaveSpeedAI 透過 https://llm.wavespeed.ai/v1 的 OpenAI 相容 Chat Completions 介面提供 Step 5 Preview。大多數 OpenAI SDK 用戶端只需更換 base URL 和 API Key;選用欄位取決於具體模型。

如何開始使用 Step 5 Preview?+

登入 WaveSpeedAI,在 Access Keys 中建立 API Key,然後使用上方顯示的 model id 向 https://llm.wavespeed.ai/v1/chat/completions 發送請求。模型可用性、能力和價格請以目前模型目錄為準。

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