MiMo-V2.6-Pro is the flagship foundation model of Xiaomi's open-source MiMo V2.6 family, built at a scale of over 1 trillion parameters to push the ceiling on the most demanding agentic, coding, and long-horizon reasoning tasks. It is the heavier counterpart to MiMo-V2.6-Flash, trading throughput and cost for peak intelligence. It is natively omnimodal, accepting text, image, video, and audio input and returning text, so interface screenshots and error states, architecture and network diagrams, dashboards and charts, recorded screen sessions, and audio can be reasoned over directly alongside source code and long textual context. A 1,048,576-token context window lets whole repositories, large document and log sets, long transcripts, or multi-session tool traces sit in a single call without a retrieval pipeline, while an output ceiling of up to 131,072 tokens supports long single-pass artifacts — complete reports, extended refactors and code generation, or detailed multi-step plans. It supports both thinking and non-thinking modes with selectable reasoning effort, native function calling, and structured (JSON) output, making it well suited to agentic tooling that plans, invokes tools, and returns machine-parseable results — coding assistants, computer-use and browser agents, and automated workflows that carry a lot of state across many turns. It reports 89.9 on Terminal-Bench 2.1, 82.0 on OSWorld-Verified, 76.9 on Toolathlon-Verified, and 71.9 on DeepSWE v1.1. As the flagship Pro tier it is tuned for the hardest single-shot reasoning and the most demanding long-horizon agent runs, where answer quality matters more than cost per token; for high-throughput bulk workloads the lighter MiMo-V2.6-Flash is the better fit. It is available over the Chat Completions, OpenAI Responses, and Anthropic Messages APIs, so existing OpenAI- and Anthropic-style clients can target it without code changes.
OpenAI-compatible — keep the SDK you already use
https://api.orcarouter.ai/v1https://api.orcarouter.aiimport os
from openai import OpenAI
client = OpenAI(
base_url="https://api.orcarouter.ai/v1",
api_key=os.environ["ORCAROUTER_API_KEY"],
)
response = client.chat.completions.create(
model="xiaomi/mimo-v2.6-pro",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)frequency_penaltyinclude_reasoninglogit_biasmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p| Input / 1M tokens | $0.435 |
|---|---|
| Output / 1M tokens | $0.870 |
| Cache read / 1M | $0.0036 |
| Currency | USD |
Estimate based on list price
Estimate only — actual token counts depend on the provider's tokenizer.
Compare monthly costs across models in the LLM cost calculator
What developers are saying this week
GET /api/public/models/xiaomi/mimo-v2.6-proOpen @misc{orcarouter_mimo_v2_6_pro,
title = {MiMo-V2.6-Pro API},
author = {Xiaomi},
year = {2026},
howpublished = {OrcaRouter},
url = {https://www.orcarouter.ai/models/xiaomi/mimo-v2.6-pro}
}Xiaomi. (2026). MiMo-V2.6-Pro API. OrcaRouter. https://www.orcarouter.ai/models/xiaomi/mimo-v2.6-pro