Kimi K2.5 Thinking.
A model-level benchmark profile for Kimi K2.5 Thinking, combining Arena category ranks, suite indexes, commercial price and speed data, SWE-bench status, and lab context.
Lab
Moonshot AI
Open weights
Coverage
89%
8 of 9 tracked signals
Best Arena rank
#25
Document Arena
Best suite
#21
Coding / 66
Model profile
Benchmark signal map.
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
Kimi K2.5 Thinking is strongest on coding.
Its best composite result is rank #21 in the coding view, with a 66 coding index. The strongest raw Arena signal is Document Arena at rank #25 with 18,646 public votes.
Best current lane
Coding
#21 / 66 coding index
Strongest raw signal
Docs
#25, 1435 score
Commercial posture
$1.20
1.23s first token / 35 tok/s
Coverage gaps
Profile completeness
8 of 9 signals matched
Arena categories
4/5
Docs, Vision, Code, Text
Commercial match
Live
Kimi K2.5 (Reasoning)
SWE-bench
#13
bash-only
Raw identifier
kimi-k2.5-thinking
Performance cockpit
Public benchmark scores
Arena rows show score, public rank, confidence interval, vote count, and publish date. Missing rows stay visible as coverage gaps.
WebDev Arena
Arena category
1426-1437 CI
Vision Arena
Arena category
1241-1253 CI
Search Arena
Arena category
Not listed
No confident public Arena row for this category.
Coverage gap
Document Arena
Arena category
1428-1442 CI
Cost and speed
Commercial profile
Price, latency, and throughput are only shown when a confident commercial source row is matched.
Blended price
$1.20
USD / 1M tokens
Input price
$0.600
USD / 1M input tokens
Output price
$3.00
USD / 1M output tokens
Latency
1.23s
Median time to first token
Output speed
35 tok/s
Median generation speed
Matched source row
Kimi K2.5 (Reasoning)Suite position
Composite ranks by benchmark lens.
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
Nearby Moonshot AI profiles.
Same-lab models make it easier to see whether this profile is a flagship, value play, specialist, or lower-coverage row.
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Coverage
78%
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Coverage
44%
Kimi K2.5 Instant
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Coverage
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Kimi K2 Thinking Turbo
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#69
Coverage
22%
Kimi K2 0905 Preview
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Coverage
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Kimi K2 0711 Preview
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Coverage
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