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Model ID: minimax-m3 · Type: chat · Provider: Minimax
| Input (per 1M tokens) | $0.15 USD |
| Output (per 1M tokens) | $0.6 USD |
| Cache read (per 1M tokens) | $0.03 USD |
| ≤ 512000 tokens | $0.15 / 1M in | $0.6 / 1M out |
| > 512000 | $0.3 / 1M in | $1.2 / 1M out |
from openai import OpenAI
client = OpenAI(api_key="sk-...", base_url="https://api.router.ai/v1")
resp = client.chat.completions.create(
model="minimax-m3",
messages=[{"role": "user", "content": "Hello"}],
)
print(resp.choices[0].message.content)MiniMax-M3 (`minimax-m3`) is billed per usage at $0.15/1M in · $0.6/1M out, in USD. Current pricing is always listed at https://370.ai/models/minimax-m3.
Send a request to https://api.router.ai/v1/v1/chat/completions with the header `Authorization: Bearer <your API key>` and `"model": "minimax-m3"`. The API is OpenAI-compatible, so any OpenAI SDK works by changing base_url to https://api.router.ai/v1 — no other code change.
MiniMax-M3 accepts up to 1,000,000 input tokens and can return up to 1,000,000 output tokens. Requests exceeding the input limit are rejected before reaching the model.
MiniMax-M3 supports: vision, function_calling, prompt_caching, reasoning.
MiniMax-M3 is a chat model from Minimax, available through the 370.AI gateway with the same API key as every other model.
Call it through the 370.AI OpenAI-compatible endpoint (API base: https://api.router.ai/v1). AI agents can discover and call every model on this gateway through MCP (https://mcp.router.ai/mcp) with no manual integration.