readable AI benchmarks (simplified)

readable AI benchmarks

Kimi

Kimi K3 (Max)

reasoning · open weights · Jul 16, 2026

Kimi K3 (Max) has a Quality Score of 63.5, ranking 45th among 572 scored models. Per 1M tokens, pricing is $3.00 input, $15.00 output, and $0.300 cached input. It accepts text, image, and video input, outputs text, and has a 1,048,576 token context window. Its Reliability Score is 59.9, ranking 67th among 574 scored models, above average (total average: 36.5). Its Value Score is 40.2, high compared with the total Value average of 31.5.

Quality Score63.5coverage 100.0%: AA Intelligence and AA-Omniscience outcomes available
Value Score40.2
Factual reliability59.9
Cache Discount90%

Model specification

Reasoning
reasoning
Input modalities
text, image, video
Output modalities
text
Context window
1,048,576 tokens
Weights
open weights

Token prices USD per 1M tokens

Input
$3.00
Output
$15.00
Cached Input
$0.300
Cache write
not available
Cost per task
$2.00

Capability

Intelligence
43.6
Coding
not available
Agentic
not available
Omniscience
19.7
Correct
47.6%
Blended price
$2.31

Answer outcomes

Fully graded outcomes (Correct + Incorrect): 75.5%

Correct 47.6%Incorrect 27.9%Partial / not attempted 24.5%

Artificial Analysis benchmarks

GDPval-AA v2
52%
τ³-Banking
46%
SciCode
59%
Humanity’s Last Exam
47%
GPQA Diamond
94%
CritPt
23%
AA-Omniscience
60%
AA-LCR
89%

DeepSWE operational cross-check

Pass@1
68.5%
Avg steps/scored attempt
97.59
Mean cost/scored attempt (USD)
$4.65
Mean output tokens/scored attempt
81,499.843
Mean duration/scored attempt (s)
4541 s

Mean cost/scored attempt is the official feed's mean_cost_usd: mean benchmark cost in USD per scored attempt under the source's cost basis. It is not Artificial Analysis cost per task and not token price (USD per 1M tokens). Mean output tokens/scored attempt is mean_output_tokens, also averaged over every scored attempt including scored failures. Mean duration/scored attempt is mean_duration_seconds; it is informational only, and wall-clock varies with provider and host load. These three fields do not affect Quality Score, Value Score, or Reliability. Epoch General ECI's benchmark basket includes DeepSWE v1.1, so Epoch General ECI and this DeepSWE cross-check are not independent evidence.

official DeepSWE v1.1 source

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