MiMo
MiMo v2.6 Flash
xiaomi/mimo-v2.6-flash
Xiaomi's fast omnimodal model — image, audio and video understanding tuned for latency.
Pricing
| Input | $0.14per 1M tokens |
|---|---|
| Output | $0.28per 1M tokens |
| Cached input | $0.0028per 1M tokens read from cache |
Specifications
| Context window | 1.05Mtokens |
|---|---|
| Max output | 66Ktokens |
| Provider | MiMo |
| Capabilities | Vision · Reasoning · Function calling |
| Input types | text, image, video |
Use MiMo v2.6 Flash
Point your existing OpenAI SDK at xKiro and pass xiaomi/mimo-v2.6-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="xiaomi/mimo-v2.6-flash",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)Supported parameters
max_tokens · temperature · top_p · stop · frequency_penalty · presence_penalty · seed · stream · tools · tool_choice · response_format · structured_outputs · reasoning · include_reasoning
Related models
- MiMo v2.5$0.14
- MiMo v2.5 Pro$0.435
- MiMo v2.6 Pro$0.435
- DeepSeek V4 Flash 0731$0.105
- DeepSeek V4 Flash Vision$0.198
- DeepSeek V4 Pro 0813$0.3915
Call MiMo v2.6 Flash through the same endpoints you already use.
Get an API key