Xiaomi: MiMo-V2.5
xiaomi/mimo-v2.5
MiMo-V2.5 is a native omnimodal model by Xiaomi. It delivers Pro-level agentic performance at roughly half the inference cost, while surpassing MiMo-V2-Omni in multimodal perception across image and video understanding tasks. Its 1M context window supports complete documents, extended conversations, and complex task contexts in a single pass, making it ideal for integration with agent frameworks where strong reasoning, rich perception, and cost efficiency all matter.
by Xiaomi
Input type Output type Publish time
2026-04-23
Recent activity on MiMo-V2.5
Tokens processed per day
Throughput
(tokens/s)
| Providers | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|---|---|---|---|
| Xiaomi | 19.81 | 54.49 | 44.48 |
First Token Latency
(ms)
| Providers | Min (ms) | Max (ms) | Avg (ms) |
|---|---|---|---|
| Xiaomi | 1677 | 4567 | 2972.86 |
Uptime stats for MiMo-V2.5
Uptime stats for MiMo-V2.5 across all providers
Uptime
Xiaomi
( Percent )
Providers for MiMo-V2.5
ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Latency
2.24
s
Throughput
50.54 tps
Uptime
100.00 %
Recent uptime Apr 30, 2026 6:00 PM-
Price
Tiered Pricing
0 ≤ Input < 256k
| Input | Price |
|---|---|
| $ 0.4/ M tokens | Output |
| $ 2/ M tokens | Cache read |
| $ 0.08/ M tokens | Cache write 5m |
| - | Cache write 1h |
| - | Cache write |
| - | Web search |
| $ 0.005/ counts | Image |
| - | Image input |
| - | Image output |
| - | Image cache |
| - | reasoning |
| - | Video |
| - | Audio |
| - | Audio cache read |
| - | Audio input |
| - | Audio & Video |
| - | Image search |
| - | Web search image |
Model limitation
Context
1.05M
Max output
131.07K
Supported Parameters
- max_completion_tokens
- temperature
- top_p
- frequency_penalty
- presence_penalty
- seed
- logit_bias
- logprobs
- top_logprobs
- response_format
- stop
- tools
- tool_choice
- parallel_tool_calls
Model Protocol Compatibility
- OpenAI Chat Completions
- OpenAI Responses
- OpenAI Embeddings
- Anthropic Messages
- Google Gemini
- Google Imagen
- Google Video
Sample code and API for MiMo-V2.5
ZenMux normalizes requests and responses across providers for you.
OpenAI: Python-SDK
from openai import OpenAI
client = OpenAI(
base_url="https://zenmux.ai/api/v1",
api_key="<ZENMUX_API_KEY>",
)
# Chat Completion
completion = client.chat.completions.create(
model="xiaomi/mimo-v2.5",
messages=[
{
"role": "user",
"content": "What is the meaning of life?"
}
]
)
print(completion.choices[0].message.content)
# Responses API
responses = client.responses.create(
model="xiaomi/mimo-v2.5",
input="What is the meaning of life?"
)
print(responses)