MiniMax
MiniMax M3.1 Flash
minimax/minimax-m3.1-flash
A multimodal coding model from MiniMax with a 1M context window and tunable thinking depth.
Pricing
| Input | $0.15per 1M tokens |
|---|---|
| Output | $0.6per 1M tokens |
| Cached input | $0.015per 1M tokens read from cache |
Specifications
| Context window | 1Mtokens |
|---|---|
| Max output | 66Ktokens |
| Provider | MiniMax |
| Capabilities | Vision · Reasoning · Function calling |
| Input types | text, image, video |
Use MiniMax M3.1 Flash
Point your existing OpenAI SDK at xKiro and pass minimax/minimax-m3.1-flash as the model. Nothing else in your code changes.
from openai import OpenAI
client = OpenAI(
base_url="https://api.xkiro.com/v1",
api_key="YOUR_XKIRO_KEY",
)
response = client.chat.completions.create(
model="minimax/minimax-m3.1-flash",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Supported parameters
max_tokens · temperature · top_p · stream · tools · tool_choice · reasoning · include_reasoning
Related models
- MiniMax M2$0.3
- MiniMax M2.1$0.3
- MiniMax M2.1 Highspeed$0.6
- MiniMax M2.5$0.3
- MiniMax M2.5 Highspeed$0.6
- MiniMax M2.7$0.3
Call MiniMax M3.1 Flash through the same endpoints you already use.
Get an API key