StepFun
Step Audio 2
StepFun’s end-to-end speech model — TTS, STT and voice chat in a single checkpoint.
智商指数
89.0 #22
AAQI 89.0
输出速度
150 t/s
ITL 6.7 ms/tok
混合价格 (3:1)
$0.015 /1M
输入 $0.012/M · 输出 $0.024/M
上下文
64K
≈ 160 页 A4 · 最大输出 8,192
Quality Domain Radar
6-Axis Frontier Evaluation vs Category Average & Flagship
Step Audio 2
Claude Mythos Preview (#1)
Average (68)
缺少直接基准测量时,雷达图各轴由类别得分近似得出 — 详见 评分方法。
优势与取舍
优势所在
- Single model replaces a whole voice pipeline
- Best-in-class Chinese speech quality
- Understands tone and emotion, not just words
需要注意的权衡
- English prosody below Eleven/Cartesia tiers
- Ecosystem concentrated in APAC
- No self-hosting
杀手级用例
Speech-to-speech agents
Direct voice chat without TTS/STT glue.
Chinese voice products
Native Mandarin/Cantonese synthesis and ASR.
Emotion-aware bots
Reacts to caller sentiment in real time.
开发者快速上手与 API
请先设置
STEPFUN_API_KEY — 获取 API 密钥curl https://api.stepfun.com/v1/chat/completions \
-H "Authorization: Bearer $STEPFUN_API_KEY" \
-H "content-type: application/json" \
-d '{
"model": "step-audio-2",
"messages": [{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}]
}'import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.stepfun.com/v1",
api_key=os.environ["STEPFUN_API_KEY"],
)
resp = client.chat.completions.create(
model="step-audio-2",
messages=[{"role": "user", "content": "Refactor this function for O(n) time and explain the change."}],
)
print(resp.choices[0].message.content)const res = await fetch("https://api.stepfun.com/v1/chat/completions", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.STEPFUN_API_KEY}`,
"content-type": "application/json",
},
body: JSON.stringify({
model: "step-audio-2",
messages: [{ role: "user", content: "Refactor this function for O(n) time and explain the change." }],
}),
});
console.log((await res.json()).choices[0].message.content);官方资源与链接
API 部署
对比托管商与延迟
Groq、Cerebras、Together、DeepInfra、Fireworks、Bedrock 与 Azure 的吞吐量、TTFT 和缓存定价。
GroqCerebrasTogether AIDeepInfraFireworks AIAWS BedrockAzure AI
各榜单得分
分类能力得分
基准测试分项
实时规格与架构
底层解析
Step Audio 2 — unified speech model
- One checkpoint for TTS, STT and speech-to-speech chat
- Paralinguistic understanding — emotion, emphasis, age cues
- Voice-to-voice tool calling for agent stacks
- Strong Mandarin/Cantonese coverage
发布日期
2026年9月24日
架构
Step Audio 2 — unified speech model
参数量
Not disclosed
开源协议
Proprietary
上下文窗口
64,000 tokens
最大输出
8,192 tokens
模态
text + audio
缓存价格
读 $0.004 · 写 $0.015 /1M
推理
—
输入价格
$0.012/M
输出价格
$0.024/M
输出速度
150 t/s
首Token延迟
—
数据更新
2026年10月22日
每月账单预估
每月预估支出
$0.00
正在计算相对 GPT-4o 的节省额…
引用与嵌入
GitHub Markdown 徽章
Loading badge markdown...BibTeX
@misc{llmpodium2026stepaudio2,
title = {Benchmark Analysis and Intelligence Evaluation of Step Audio 2},
author = {LLMPodium Research},
year = {2026},
url = {https://llmpodium.com/models/step-audio-2}
}嵌入评分徽章
将实时 Podium 评分徽章添加到 GitHub 或 Hugging Face README —— 链接回实时排名。
预览
Markdown
Loading badge snippet...HTML
Loading badge snippet...更多 StepFun 模型
替代模型推荐
基于能力、定价和基准测试得分与 Step Audio 2 最接近的替代模型。