MiniMax
MiniMax M3
minimax/minimax-m3
A multimodal foundation model from MiniMax with a 1M context for frontier coding and agentic tasks.
Pricing
| Input | $0.3per 1M tokens |
|---|---|
| Output | $1.20per 1M tokens |
| Cached input | $0.06per 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
Point your existing OpenAI SDK at xKiro and pass minimax/minimax-m3 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",
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 M2Free
- MiniMax M2.1Free
- MiniMax M2.1 HighspeedFree
- MiniMax M2.5Free
- MiniMax M2.5 HighspeedFree
- MiniMax M2.7Free
Call MiniMax M3 through the same endpoints you already use.
Get an API key