stepfun-ai/step3
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stepfun-ai/step3

StepFun
Step3 is a multimodal reasoning model released by StepFun. It uses a Mixture‑of‑Experts (MoE) architecture with 321 billion total parameters and 38 billion activation parameters. The model follows an end‑to‑end design that reduces decoding cost while delivering top‑tier performance on vision‑language reasoning tasks. Thanks to the combined use of Multi‑Head Factorized Attention (MFA) and Attention‑FFN Decoupling (AFD), Step3 remains highly efficient on both flagship and low‑end accelerators. During pre‑training, it processed over 20 trillion text tokens and 4 trillion image‑text mixed tokens, covering more than ten languages. On benchmarks for mathematics, code, and multimodal tasks, Step3 consistently outperforms other open‑source models.

Pricing

  • Input Tokens: $1.100 /M tokens
  • Output Tokens: $2.750 /M tokens

Input Modalities

    Try this model

    Python
    import os
    from openai import OpenAI
    
    client = OpenAI(
        api_key=os.environ["AIHUBMIX_API_KEY"],
        base_url="https://aihubmix.com/v1",
    )
    
    response = client.chat.completions.create(
        model="stepfun-ai/step3",
        messages=[
          {
            "role": "user",
            "content": "Hello, how are you?"
          }
        ],
        max_tokens=1024,
        stream=False,
    )
    
    print(response.choices[0].message.content)

    Frequently asked questions

    What is stepfun-ai/step3?

    Step3 is a multimodal reasoning model released by StepFun. It uses a Mixture‑of‑Experts (MoE) architecture with 321 billion total parameters and 38 billion activation parameters. The model follows an end‑to‑end design that reduces decoding cost while delivering top‑tier performance on vision‑language reasoning tasks. Thanks to the combined use of Multi‑Head Factorized Attention (MFA) and Attention‑FFN Decoupling (AFD), Step3 remains highly efficient on both flagship and low‑end accelerators. During pre‑training, it processed over 20 trillion text tokens and 4 trillion image‑text mixed tokens, covering more than ten languages. On benchmarks for mathematics, code, and multimodal tasks, Step3 consistently outperforms other open‑source models.