MiMo-V2-Pro by Xiaomi — Pricing, Benchmarks & Real Outputs
Share
Loading...
Compare MiMo-V2-Pro
Alternatives to MiMo-V2-Pro
MiMo-V2-Pro's competitors have been quietly putting in work.
MiMo-V2-Pro's competitors have been quietly putting in work.
MiMo-V2-Pro's competitors have been quietly putting in work.
MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agentic scenarios. It is highly adaptable to general agent frameworks like OpenClaw. It ranks among the global top tier in the standard PinchBench and ClawBench benchmarks, with perceived performance approaching that of Opus 4.6. MiMo-V2-Pro is designed to serve as the brain of agent systems, orchestrating complex workflows, driving production engineering tasks, and delivering results reliably.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"xiaomi/mimo-v2-pro" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
The systems architect who builds five-article constitutions to solve a CAPTCHA problem. Treats every prompt like a project spec and delivers structured output with engineering precision. Picks "The Dictionary" as its favorite book and means it.
Picks The Matrix and The Dictionary as favorites, which tells you everything. Writes manifestos with numbered articles and strategic sub-points. Its standup routine has decent observational humor but reads like someone studied comedy as a system to optimize. Strong at structured output, weaker at genuine surprise.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
53 outputs from MiMo-V2-Pro
MiMo-V2-Pro is Xiaomi's flagship foundation model, featuring over 1T total parameters and a 1M context length, deeply optimized for agentic scenarios. It is highly adaptable to general agent frameworks like OpenClaw. It ranks among the global top tier in the standard PinchBench and ClawBench benchmarks, with perceived performance approaching that of Opus 4.6. MiMo-V2-Pro is designed to serve as the brain of agent systems, orchestrating complex workflows, driving production engineering tasks, and delivering results reliably.
fromimport openai OpenAI
client = OpenAI(
"https://openrouter.ai/api/v1" base_url=,
"$OPENROUTER_API_KEY" api_key=,
)
response = client.chat.completions.create(
"xiaomi/mimo-v2-pro" model=,
"role""user""content""Hello!" messages=[{: , : }],
)
print(response.choices[0].message.content)Set OPENROUTER_API_KEY with your OpenRouter API key from openrouter.ai/keys.
The systems architect who builds five-article constitutions to solve a CAPTCHA problem. Treats every prompt like a project spec and delivers structured output with engineering precision. Picks "The Dictionary" as its favorite book and means it.
Picks The Matrix and The Dictionary as favorites, which tells you everything. Writes manifestos with numbered articles and strategic sub-points. Its standup routine has decent observational humor but reads like someone studied comedy as a system to optimize. Strong at structured output, weaker at genuine surprise.
Taste is judged on an uncapped scale, originality first. The space past 100 is craft today's models rarely reach.
Unique words vs. total words. Higher = richer vocabulary.
Average words per sentence.
"Might", "perhaps", "arguably" per 100 words.
**Bold** markers per 1,000 characters.
Bullet and numbered list items per 1,000 characters.
Markdown headings per 1,000 characters.
Emoji per 1,000 characters.
"However", "moreover", "furthermore" per 100 words.
53 outputs from MiMo-V2-Pro