readable AI benchmarks (simplified)

readable AI benchmarks

Kimi

Kimi K2.7 Code

reasoning · open weights · Jun 12, 2026

Kimi K2.7 Code has a Quality Score of 42.3, ranking 169th among 571 scored models. Per 1M tokens, pricing is $0.950 input, $4.00 output, and $0.190 cached input. It accepts text, image, and video input, outputs text, and has a 256k token context window. Its Reliability Score is 44.9, ranking 185th among 573 scored models, above average (total average: 36.5). Its Value Score is 30.8, around average compared with the total Value average of 31.4.

Quality Score42.3coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score30.8
Factual reliability44.9
Cache Discount80%

Model specification

Reasoning
reasoning
Input modalities
text, image, video
Output modalities
text
Context window
256k tokens
Weights
open weights

Token prices USD per 1M tokens

Input
$0.950
Output
$4.00
Cached Input
$0.190
Cache write
not available
Cost per task
$0.541

Capability

Intelligence
25.8
Coding
not available
Agentic
not available
Omniscience
-10.2
Correct
39.6%
Blended price
$0.723

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 89.3%

Correct 39.6%Incorrect 49.8%Partial / not attempted 10.7%

Artificial Analysis benchmarks

GDPval-AA v2
27%
τ³-Banking
20%
SciCode
48%
Humanity’s Last Exam
35%
GPQA Diamond
90%
CritPt
10%
AA-Omniscience
45%
AA-LCR
79%

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