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Thoughts on AI, technology, and the future we're building.
New posts every week
A model-level benchmark profile for MiMo V2 Pro, combining Arena category ranks, suite indexes, commercial price and speed data, SWE-bench status, and lab context.
Lab
Xiaomi
Proprietary
Coverage
56%
5 of 9 tracked signals
Best Arena rank
#28
WebDev Arena
Best suite
#31
Value / 65
Model profile
This view treats missing values as coverage gaps, then puts every available score, rank, cost, and speed signal into the same visual hierarchy.
Analyst view
Its best composite result is rank #31 in the value view, with a 65 value index. The strongest raw Arena signal is WebDev Arena at rank #28 with 6,784 public votes.
Best current lane
Value
#31 / 65 value index
Strongest raw signal
Code
#28, 1434 score
Commercial posture
$1.50
2.53s first token / 43 tok/s
Coverage gaps
Profile completeness
Arena categories
2/5
Code, Text
Commercial match
Live
MiMo-V2-Pro
SWE-bench
Not listed
No confident software benchmark row
Raw identifier
mimo-v2-pro
Performance cockpit
Arena rows show score, public rank, confidence interval, vote count, and publish date. Missing rows stay visible as coverage gaps.
Text Arena
Arena category
1443-1453 CI
WebDev Arena
Arena category
1426-1442 CI
Vision Arena
Arena category
Not listed
No confident public Arena row for this category.
Coverage gap
Search Arena
Arena category
Not listed
No confident public Arena row for this category.
Coverage gap
Document Arena
Arena category
Not listed
No confident public Arena row for this category.
Coverage gap
SWE-bench Verified
Software issue resolution
Not listed
No confident SWE-bench row matched to this model.
Coverage gap
Cost and speed
Price, latency, and throughput are only shown when a confident commercial source row is matched.
Blended price
$1.50
USD / 1M tokens
Input price
$1.00
USD / 1M input tokens
Output price
$3.00
USD / 1M output tokens
Latency
2.53s
Median time to first token
Output speed
43 tok/s
Median generation speed
Matched source row
MiMo-V2-ProSuite position
These views combine available public signals into purpose-specific indexes. A missing card means the model lacks enough source coverage for that lens.
Value
Quality, price, latency, and output speed
value index
Coding
Code Arena, SWE-bench, and output speed
coding index
Agents
Search, documents, code, and latency
agent proxy
Reasoning
Text, documents, vision, and mode signal
reasoning proxy
Long context
Document, search, and text benchmark proxy
context proxy
Lab context
Same-lab models make it easier to see whether this profile is a flagship, value play, specialist, or lower-coverage row.
