xiaomi/mimo-v2.5-pro
출시일: 2026-04-23
1,048,576 context · $1.00/M input tokens · $3.00/M output tokens
MiMo-V2.5-Pro is Xiaomi’s flagship open model for advanced agentic workflows, complex software engineering, and long-horizon task execution. Built on a sparse Mixture-of-Experts architecture with 1.02T total parameters and 42B active parameters, it supports a 1M-token context window and is optimized for autonomous coding agents, large codebase reasoning, tool-use workflows, and multi-step problem solving. It delivers strong performance on agentic and software engineering benchmarks such as ClawEval, GDPVal, and SWE-bench Pro, with an emphasis on token-efficient long-context execution.
사용량 기반 과금
선결제 없이 사용한 만큼만 지불
다음 코드 예시를 사용해 API와 연동하세요:
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: 2,
});
try {
const response = await client.chat.completions.create({
model: 'xiaomi/mimo-v2.5-pro',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}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: 2,
});
try {
const response = await client.chat.completions.create({
model: 'xiaomi/mimo-v2.5-pro',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}MiMo-V2.5-Pro is Xiaomi’s flagship open model for advanced agentic workflows, complex software engineering, and long-horizon task execution. Built on a sparse Mixture-of-Experts architecture with 1.02T total parameters and 42B active parameters, it is optimized for autonomous coding agents, large codebase reasoning, tool use, and multi-step problem solving.
| Specification | Value |
|---|---|
| Provider | xiaomi |
| Model Type | Chat Completions model |
| Architecture | Sparse Mixture-of-Experts |
| Parameters | 1.02T total / 42B active |
| Context Window | 1,048,576 tokens |
| Max Input | 1,032,192 tokens |
| Max Output | 16,384 tokens |
| Input | Text |
| Output | Text |
| Vision | Not listed |
| Function Calling | Supported |
| Structured Outputs | Supported |
| Primary Use Cases | Agentic coding, complex software engineering, long-horizon tasks, tool use |
| Token Type | Cost |
|---|---|
| Input | $1.00 per million tokens |
| Output | $3.00 per million tokens |
| Cached Input | $0.20 per million tokens |
Base URL: https://llm.wavespeed.ai/v1
API Endpoint: chat/completions
Model ID: xiaomi/mimo-v2.5-pro
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="xiaomi/mimo-v2.5-pro",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "xiaomi/mimo-v2.5-pro",
"messages": [{"role": "user", "content": "Hello!"}]
}'xiaomi/mimo-v2.5-pro
MiMo-V2.5-Pro is Xiaomi’s flagship open model for advanced agentic workflows, complex software engineering, and long-horizon task execution. Built on a sparse Mixture-of-Experts architecture with 1.02T total parameters and 42B active parameters, it supports a 1M-token context window and is optimized for autonomous coding agents, large codebase reasoning, tool-use workflows, and multi-step problem solving. It delivers strong performance on agentic and software engineering benchmarks such as ClawEval, GDPVal, and SWE-bench Pro, with an emphasis on token-efficient long-context execution.
입력
$1 /M
출력
$3 /M
컨텍스트
1049K
최대 출력
16K
도구 사용
지원
통합 API를 통해 Mimo V2.5 Pro 액세스 — OpenAI 호환, 콜드 스타트 없음, 투명한 가격.
WaveSpeedAI 가격: 입력 토큰 100만 개당 $1.00, 출력 토큰 100만 개당 $3.00. 프롬프트 캐싱과 배치 처리는 별도로 청구되며 긴 반복 작업에서 실질 비용을 줄여 줍니다.
Mimo V2.5 Pro은 요청당 최대 1049K 컨텍스트 토큰과 최대 16K 출력 토큰을 지원합니다.
WaveSpeedAI는 https://llm.wavespeed.ai/v1의 OpenAI 호환 Chat Completions 인터페이스를 통해 Mimo V2.5 Pro을 제공합니다. 대부분의 OpenAI SDK 클라이언트는 base URL과 API 키를 변경해 사용할 수 있으며, 선택 필드는 모델에 따라 다릅니다.
WaveSpeedAI에 로그인하고 Access Keys에서 API 키를 만든 다음, 위에 표시된 모델 ID로 https://llm.wavespeed.ai/v1/chat/completions에 요청을 보내세요. 제공 여부, 기능 및 가격은 최신 모델 카탈로그를 확인하세요.