Top-tier model for agentic workflows, complex software engineering, and long-horizon tasks, sustaining work across 1000+ tool calls on 1M context.
XiaomiText Generation1M contextProprietary EndpointNewTop-tier model for agentic workflows, complex software engineering, and long-horizon tasks, sustaining work across 1000+ tool calls on 1M context.
mimo-v2-5-proPOST /v1/chat/completionsPOST /v1/responsesPOST /v1/messagesLive pay-as-you-go rates from the EmpirioLabs catalog. You are billed only for what you use, with no monthly minimum.
MiMo V2.5 Pro serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id mimo-v2-5-pro. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "mimo-v2-5-pro",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.empiriolabs.ai/v1",
api_key="YOUR_EMPIRIOLABS_API_KEY",
)
response = client.chat.completions.create(
model="mimo-v2-5-pro",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)Request parameters supported by the MiMo V2.5 Pro API on EmpirioLabs. Defaults apply when a field is omitted.
| Parameter | Type | Default | Range / values | Description |
|---|---|---|---|---|
| enable_thinking | boolean | true | - | Enable extended thinking mode. Slower but improves reasoning-heavy tasks. |
| tool_web_search | boolean | false | - | Allow the model to perform web searches when needed. |
| web_search_force | boolean | false | - | Force the model to always run a web search before answering. |
| web_search_max_keyword | number | 3 | 1 to 5 | Max number of keywords the model can use across web searches. |
| web_search_limit | number | 5 | 1 to 10 | Max number of web searches the model can perform per request. |
| temperature | number | 0.7 | 0 to 2 | Sampling temperature. 0 = deterministic, 2 = maximum randomness. |
| top_p | number | 0.9 | 0 to 1 | Nucleus sampling probability mass. Lower = more focused. |
| max_tokens | number | 4096 | 1 to 65536 | Maximum tokens in the response. |
| stop | string | - | - | Up to 4 strings where the model will stop generating further tokens. |
| disable_formatting | boolean | false | - | Skip the EmpirioLabs Markdown formatting (citation [[N]](url) rewriting + References block when web search was used). The raw upstream answer with plain [N]... |
Web search ($0.015/call) is charged only when invoked. Cached input tokens are billed at a steep discount. Sustains complex autonomous workflows with 1000+ tool calls on a 1M context.
On EmpirioLabs, MiMo V2.5 Pro is billed pay as you go: Input $2.175 per 1M prompt tokens; Output $4.35 per 1M generated tokens; Implicit cache read $0.018 per 1M cached input tokens. The live rate card on this page always matches what the API charges.
MiMo V2.5 Pro supports a 1M-token context window with up to 128,000 output tokens per response.
Yes. MiMo V2.5 Pro serves the OpenAI-compatible Chat Completions API, so existing OpenAI SDKs work by pointing base_url at https://api.empiriolabs.ai/v1 and setting the model id to mimo-v2-5-pro.
Yes. The EmpirioLabs playground runs MiMo V2.5 Pro in the browser with the same parameters the API exposes, so you can test prompts before writing code.
Create an EmpirioLabs account, then generate a key under API Keys in the dashboard. Billing is pay-as-you-go credits, so you only pay for the requests you make.
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