minimax/minimax-m3
Tanggal rilis: 2026-06-01
1,048,576 context · $0.60/M input tokens · $2.40/M output tokens
MiniMax-M3 is MiniMax’s latest M-series multimodal foundation model for agent reasoning, tool use, coding, and long-context tasks. It supports text, image, and video inputs with text output, a 1M-token context window, thinking content, function calling, and structured outputs. With support for long-horizon agentic work, coding workflows, multimodal understanding, and very long responses, MiniMax-M3 is well suited for building autonomous agents, code assistants, document/video analysis tools, and production workflows that need large context at efficient pricing.
Harga
Bayar sesuai pemakaian
Tanpa biaya di muka, bayar hanya sesuai penggunaan
Coba model
Penggunaan API
Gunakan contoh kode berikut untuk integrasi dengan API kami:
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: 'minimax/minimax-m3',
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: 'minimax/minimax-m3',
messages: [{ role: 'user', content: 'Hello!' }],
});
console.log(response.choices[0]?.message?.content ?? '');
} catch (error) {
console.error('LLM request failed:', error);
process.exitCode = 1;
}Pengenalan Model
MiniMax: MiniMax M3
MiniMax-M3 is MiniMax’s latest M-series multimodal foundation model for agent reasoning, tool use, coding, and long-context tasks. It supports text, image, and video inputs with text output, a 1M-token context window, thinking content, function calling, and structured outputs.
Why It Looks Great
- Latest MiniMax M-series language model for agent reasoning, tools, coding, and long-context work
- Native multimodal support for text, image, and video understanding
- 1M-token context window for long prompts, large documents, videos, codebases, and multi-turn workflows
- Up to 512K output tokens for unusually long responses, extended reasoning, and structured generation
- Strong fit for long-horizon agentic work, coding workflows, document analysis, and multimodal assistants
- Thinking content support for transparent multi-step reasoning workflows
- Function calling and tool-use support for agentic application workflows
- Structured output support for JSON responses and schema-constrained generation
- Efficient pricing for large-context multimodal production use cases
Key Features
- Context Window: 1,048,576 tokens
- Max Input: 536,576 tokens
- Max Output: 512,000 tokens
- Input: Text, Image, Video
- Output: Text
- Vision: Supported
- Video Input: Supported
- Function Calling: Supported
- Structured Outputs: Supported
- Thinking Mode: Supported
- Image Generation: Not listed
- Audio Input: Not listed
- Supported Parameters: include_reasoning, max_tokens, reasoning, response_format, temperature, tool_choice, tools, top_p
Specifications
| Specification | Value |
|---|---|
| Provider | minimax |
| Model Type | Chat Completions model |
| Architecture | text+image+video->text |
| Context Window | 1,048,576 tokens |
| Max Input | 536,576 tokens |
| Max Output | 512,000 tokens |
| Input | Text, Image, Video |
| Output | Text |
| Vision | Supported |
| Video Input | Supported |
| Function Calling | Supported |
| Structured Outputs | Supported |
| Thinking Mode | Supported |
How to Use
- Write your prompt - describe the task, provide context, and specify the desired output format.
- 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: minimax/minimax-m3
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="minimax/minimax-m3",
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": "minimax/minimax-m3",
"messages": [{"role": "user", "content": "Hello!"}]
}'Notes
- Model: minimax/minimax-m3
- Provider: minimax
- Best suited for long-horizon agents, coding, tool use, long-context document analysis, multimodal understanding, and structured output workflows
- Image input supports common image formats such as JPEG, PNG, GIF, and WEBP
- Video input is supported through URL, base64, or uploaded file references where available
Info
Fitur yang Didukung
Panduan Akses API
Minimax M3 API
minimax/minimax-m3
MiniMax-M3 is MiniMax’s latest M-series multimodal foundation model for agent reasoning, tool use, coding, and long-context tasks. It supports text, image, and video inputs with text output, a 1M-token context window, thinking content, function calling, and structured outputs. With support for long-horizon agentic work, coding workflows, multimodal understanding, and very long responses, MiniMax-M3 is well suited for building autonomous agents, code assistants, document/video analysis tools, and production workflows that need large context at efficient pricing.
Input
$0.6 /M
Output
$2.4 /M
Konteks
1049K
Output Maks.
512K
Vision
Didukung
Penggunaan Tool
Didukung
Coba Minimax M3 di WaveSpeedAI
Akses Minimax M3 melalui API terpadu kami — kompatibel dengan OpenAI, tanpa cold start, harga transparan.
Pertanyaan Umum tentang Minimax M3
Berapa biaya Minimax M3 melalui API?+
Harga di WaveSpeedAI: $0.60 per juta token input dan $2.40 per juta token output. Prompt caching dan batch processing ditagih terpisah dan mengurangi biaya efektif pada beban kerja yang panjang dan berulang.
Berapa context window Minimax M3?+
Minimax M3 mendukung hingga 1049K token konteks dengan hingga 512K token output per permintaan.
Apakah Minimax M3 kompatibel dengan OpenAI?+
WaveSpeedAI menyediakan Minimax M3 di https://llm.wavespeed.ai/v1 melalui antarmuka Chat Completions yang kompatibel dengan OpenAI. Sebagian besar klien OpenAI SDK cukup mengganti base URL dan API key; field opsional bergantung pada model.
Bagaimana memulai dengan Minimax M3?+
Masuk ke WaveSpeedAI, buat API key di Access Keys, lalu kirim permintaan ke https://llm.wavespeed.ai/v1/chat/completions dengan model id yang ditampilkan di atas. Lihat katalog model terbaru untuk ketersediaan, kemampuan, dan harga.