๐ถ StepFun
Proprietary Step models โ fast inference across chat, vision, and STT/TTS
StepFun
Avg Speed
93 tok/s
Models
6
Price
$9/mo
Best For
Step models, STT/TTS
๐ฐ Plan & Pricing
Step Plan โ $9/mo
Access to all Step models including chat, vision, reasoning, STT, and TTS. Own models only (step-3.x series).
Access to all Step models including chat, vision, reasoning, STT, and TTS. Own models only (step-3.x series).
๐ API Key
๐ Endpoint
https://api.stepfun.ai/step_plan/v1/chat/completions
๐ฆ Models (6 LLMs + 2 Audio)
| Model | Speed | Category | Notes |
|---|---|---|---|
| step-2-16k | โก 93 tok/s | Chat | Step-2 flagship, 16K context |
| step-3-chat | โก 93 tok/s | Chat | ๐ฅ Primary chat model |
| step-3-reasoning | โก 85+ tok/s | Reasoning | Thinking model |
| step-3-vl | โก 93 tok/s | Vision/OCR | Vision-language model |
| step-1.5v-7b | โก 100+ tok/s | Chat/Vision | Smaller vision model |
| step-1-flash | โก 120+ tok/s | Fast | โก Ultra-fast lightweight |
Audio Models โ step-asr (STT) and step-tts (TTS) included in all plans
๐ป cURL Example
curl -X POST https://api.stepfun.ai/step_plan/v1/chat/completions \
-H "Authorization: Bearer 4d2tfWopcoBE9gHPP5boAGiYCrFB7iFiFCt1EluOGoWLVlQVxePCvNh6MwN5I7MKE" \
-H "Content-Type: application/json" \
-d '{
"model": "step-3-chat",
"messages": [{"role": "user", "content": "Hello!"}]
}'
๐ Python Example
from openai import OpenAI
client = OpenAI(
api_key="4d2tfWopcoBE9gHPP5boAGiYCrFB7iFiFCt1EluOGoWLVlQVxePCvNh6MwN5I7MKE",
base_url="https://api.stepfun.ai/step_plan/v1"
)
response = client.chat.completions.create(
model="step-3-chat",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)
โ ๏ธ Pitfalls & Notes
Own Models Only โ StepFun only hosts its own Step model family. No third-party models available.
STT & TTS โ StepFun uniquely includes speech-to-text and text-to-speech endpoints alongside chat models.
Chinese Optimization โ Step models are particularly strong for Chinese/English bilingual tasks.
๐ท๏ธ Categories
Chat
Vision
STT/TTS
Reasoning
OCR