MiMo-V2-Pro

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MiMo-V2-Pro is a closed-weights language model from Xiaomi, released March 2026.

Catalogue identity notes

Comparison-only. Arena entry 'mimo-v2-pro' (text, webdev). Released 2026-03: Xiaomi MiMo release post (API launch 2026-03-18). Closed flagship (Xiaomi: 'over 1T total parameters, with 42B active'); no MiMo-V2-Pro weights were published. Auto-routed to mimo-v2.5-pro from 2026-06-01.

70.0±1.2comparison only: no current run option verifiedfrom 12 benchmark results across 4 sources

$ how it compares

The LLMs ranked either side of MiMo-V2-Pro, out of 828 with a score, then more from Xiaomi.

#	model	score	where	RAM	released
89	Qwen3.6 Plus Alibaba	70±1	api $1.13/M		2026-04
90	Inkling Small (266B-A12B) Thinking Machines	70±1	api $0.64/M +local	~86GB	2026-07
91	MiMo-V2-Pro Xiaomi	70±1	comparison only		2026-03
92	Kimi K2.5 Moonshot AI	70±1	api $1.20/M +local	~160GB	2026-01
93	GLM-5 Z.ai	70±1	api $1.55/M +local	~119GB	2026-02
	more from Xiaomi
15	MiMo-V2.6-Pro Xiaomi	79±1	api $0.54/M +local	~443GB	2026-09
27	MiMo-V2.6-Flash (309B-A15B) Xiaomi	77±1	api $0.17/M +local	~136GB	2026-09
95	MiMo-V2.5-Pro (1T-A42B) Xiaomi	70±1	api $0.65/M +local	~163GB	2026-04

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$ what it's good at

agent tasks▁▁▂▆█▆▅▄▄▃▂▁ #71 of 340 · 45% of its score · 6 tests

Beats Gemini 3.6 Flash, GPT-5 Pro, LongCat 2.0 (1.6T-A48B) here, though they rank higher overall. Trails MiMo-V2.5 (310B-A15B) here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
SWE-bench Pro (split unspecified) lab +1	55.0% ✎	▃·▁▁▁▂▂▃█▇▃▁ beats 30/55	very hard · avg 9.8%	▇▇▇▇▇▇▇ 18%	sharp · at its level · small run · several runs
Terminal-Bench 2.0 lab +1	57.1% ✎	▂▂▅▅████▆▂▃▃ beats 25/36	very hard · avg 15%	▇▇▇▇▇ 13%	at its level · small run · several runs
SWE-bench Verified lab	78.0% ✎	▁▁▁▁▁▁▂▄█▆▁▁ beats 117/131	hard · avg 26%	▇▇▇ 8.3%	sharp · small run
Humanity's Last Exam with tools lab	40.0% ✎	▂▂▂▁▄▂▃▆█▇▂▆ beats 16/54	hard · avg 15%	▇ 3.6%	at its level · small run
τ³-bench lab	64.5% ✎	▁▁▂▁·▁▁·▁▁▃█ beats 13/25	medium · avg 36%	▇ 2.5%	blunt · at its level · small run
τ²-bench Telecom lab	96.8% ✎	▁·▅█▆▅▂▃▃▃▃▁ beats 78/89	very hard · avg 9.6%	—	not counted yet: no other model in the same run to compare it with

coding▁▁▁▃▅▇█▇▅▄▃▁ #76 of 524 · 50% of its score · 3 tests

Beats DeepSeek V4 Flash Vision (Exp), GPT-5.2, GPT-5 here, though they rank higher overall. Trails Gemini 3.5 Flash-Lite, MiMo-V2.5 (310B-A15B), MiMo-V2.5-Pro (1T-A42B) here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Arena WebDev (Code Arena)	1432.8 ✎	▁▂▄▃▅█▄▇▆▄▁▁ beats 52/119	avg 981	▇▇▇▇▇▇▇▇▇▇ 24%	sharp
SWE-bench Pro (split unspecified) lab +1	55.0% ✎	▃·▁▁▁▂▂▃█▇▃▁ beats 30/55	very hard · avg 9.8%	▇▇▇▇▇▇▇ 18%	sharp · at its level · small run · several runs
SWE-bench Verified lab	78.0% ✎	▁▁▁▁▁▁▂▄█▆▁▁ beats 117/131	hard · avg 26%	▇▇▇ 8.3%	sharp · small run

chat & writing▁▁▁▃▅▄▆█▇▇▇▃ #62 of 463 * · 14% of its score · 1 test

Beats GPT-6 Luna, Grok 4.7, GPT-5.2 here, though they rank higher overall. Trails Gemma 4 31B, Claude Sonnet 4.5, Gemini 3.5 Flash-Lite here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
LMArena (text)	1447.9 ✎	▁▁▁▂▃▃▃▆▆▇█▃ beats 311/379	avg 1268	▇▇▇▇▇ 14%	blunt

web search█··········█ #2 of 2 * · 3.6% of its score · 1 test

Trails MiMo-V2.5-Pro (1T-A42B) here, though they rank lower overall.

test	result	vs the others in its run	difficulty	counts	why
Humanity's Last Exam with tools lab	40.0% ✎	▂▂▂▁▄▂▃▆█▇▂▆ beats 16/54	hard · avg 15%	▇ 3.6%	at its level · small run

other tests3 not in a task · 16% of its score

test	result	vs the others in its run	difficulty	counts	why
WildClawBench	40.2% ✎	▃·▅▅█·▅█▅▃▃▃ beats 8/17	very hard · avg 11%	▇▇▇ 7.5%	at its level
Humanity's Last Exam lab	28.0% ✎	▁▁▁▃▆▆▇██▆▁▃ beats 64/104	very hard · avg 5.8%	▇▇ 5.8%	at its level · small run
Claw-Eval Pass^3 lab	57.8% ✎	█▄▄·▄·▄▄·▄·▄ beats 5/8	hard · avg 27%	▇ 3.0%	at its level · small run

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · XiaomiMiMo/MiMo-V2.5-Pro mode… 39%, LMArena leaderboard dataset 38%, XiaomiMiMo/MiMo-V2.5 model ca… 15% and 1 more

Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works

source	results	share of the score	licence
XiaomiMiMo/MiMo-V2.5-Pro model card · lab-reported	7	▇▇▇▇▇▇▇▇▇▇▇▇ 39%	MIT
LMArena leaderboard dataset	2	▇▇▇▇▇▇▇▇▇▇▇ 38%	CC BY 4.0
XiaomiMiMo/MiMo-V2.5 model card · lab-reported	2	▇▇▇▇▇ 15%	MIT
WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation (arXiv:2605.10912v1)	1	▇▇ 7%	CC BY 4.0
prior · pull toward the middle		▇ 1%
weighted average		= 70.0

not counted (1)

Xiaomi MiMo vendor-reported benchmark scores for its own models (mimo.xiaomi.com launch pages)

τ²-bench Telecom [correct]

96.8%

fewer than three models have this test yet, or this source ran it for this model alone

$ improve this page

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data updated 2026-10-11 02:20 UTC · sources and licences · json