MiniMax-M3.1-Flash
MiniMax-M3.1-Flash costs $0.15 per 1M input tokens and $0.6 per 1M output tokens on LLM API, with a 1M-token context window.
Pricing
Lowest price among 4 providers, after discounts.
| Input | $0.15 | per 1M tokens |
|---|---|---|
| Output | $0.6 | per 1M tokens |
| Cache read | $0.015 | per 1M tokens |
Providers
Prices after each provider’s discount; the lowest in bold.
| $0.15 | $0.6 | $0.015 | 1M | 512K | |
| $0.15 | $0.6 | $0.015 | 1M | 512K | |
| $0.15 | $0.6 | $0.015 | 1M | 512K | |
| $0.15 | $0.6 | $0.015 | 1M | 512K |
Features
- ToolsYes
- Parallel tool callsNo
- Image inputYes
- ReasoningYes
Levels: low, medium, high, xhigh, max · default medium
- Prompt cachingYes
- Structured outputsNo
- JSON modeNo
- StreamingYes
- Web searchYes
Call MiniMax-M3.1-Flash
POST /v1/chat/completionsSet LLMAPI_KEY to your LLM API key.Chat Completions docs
import os
from openai import OpenAI
client = OpenAI(
base_url="https://api.llmapi.ai/v1",
api_key=os.environ["LLMAPI_KEY"],
)
response = client.chat.completions.create(
model="MiniMax-M3.1-Flash",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api.llmapi.ai/v1",
apiKey: process.env.LLMAPI_KEY,
});
const response = await client.chat.completions.create({
model: "MiniMax-M3.1-Flash",
messages: [{ role: "user", content: "Hello" }],
});
console.log(response.choices[0].message.content);curl https://api.llmapi.ai/v1/chat/completions \
-H "Authorization: Bearer $LLMAPI_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "MiniMax-M3.1-Flash",
"messages": [{"role": "user", "content": "Hello"}]
}'More from MiniMax
All MiniMax text models
MiniMax M3minimax-m3$0.3 / $1.2per 1M input / output
MiniMax M2.1minimax-m2.1$0.27 / $1.1per 1M input / output
MiniMax M2.1 Lightningminimax-m2.1-lightning$0.12 / $0.48per 1M input / output
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