Thoughts on AI, technology, and the future we're building.
New posts every week
A model-level benchmark profile for Kimi K2.6, combining Arena category ranks, suite indexes, commercial price and speed data, SWE-bench status, and lab context.
Lab
Moonshot AI
Open weights
Coverage
67%
6 of 9 tracked signals
Best Arena rank
#8
WebDev Arena
Best suite
#9
Value / 75
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 #9 in the value view, with a 75 value index. The strongest raw Arena signal is WebDev Arena at rank #8 with 4,008 public votes.
Best current lane
Value
#9 / 75 value index
Strongest raw signal
Code
#8, 1518 score
Commercial posture
$1.71
1.34s first token / 42 tok/s
Coverage gaps
Profile completeness
Arena categories
3/5
Code, Vision, Text
Commercial match
Live
Kimi K2.6 (Non-reasoning)
SWE-bench
Not listed
No confident software benchmark row
Raw identifier
kimi-k2.6
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
1457-1468 CI
WebDev Arena
Arena category
1508-1528 CI
Vision Arena
Arena category
1250-1269 CI
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
$1.71
USD / 1M tokens
Input price
$0.950
USD / 1M input tokens
Output price
$4.00
USD / 1M output tokens
Latency
1.34s
Median time to first token
Output speed
42 tok/s
Median generation speed
Matched source row
Kimi K2.6 (Non-reasoning)Suite 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.
Kimi K2.5 Thinking
kimi-k2.5-thinking
Best rank
#24
Coverage
78%
Kimi K2.5 Instant
kimi-k2.5-instant
Best rank
#30
Coverage
33%
Kimi K2 Thinking Turbo
kimi-k2-thinking-turbo
Best rank
#59
Coverage
22%
Kimi K2 0905 Preview
kimi-k2-0905-preview
Best rank
#83
Coverage
44%
Kimi K2 0711 Preview
kimi-k2-0711-preview
Best rank
#86
Coverage
11%