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#79

Kimi K2.5

Moonshot AI Release: 2026-01-27 Tested on: 2026-05-22 00:12 moonshotai/kimi-k2.5::medium
(medium) (none)

Summary

Kimi K2.5 scores 6.7 on AI BENCHY and ranks #79. It has 10.0 reliability, a 66.7% pass rate, $0.314 total cost, and 89.36s average response time.

What makes Kimi K2.5 unique: It stands out most in General Intelligence, where it ranks #3, while Coding is its weakest area at #11.

Score

6.7

Consistency

6.8

Total Output Tokens

174,803

Total Input Tokens

0

Input Price

$0.400 / 1M

Output Price

$1.900 / 1M

Tests Correct

Wrong Tests: 11

Attempt pass rate: 66.7%

Flaky tests

8

Flaky tests had mixed outcomes across runs (at least one pass and one fail).

Response Time (avg)

89.36s

Response Time (max): 281.00s

Response Time (total): 1161.65s

Generation showcase

Hamster playing table tennis

Prompt: Create a detailed SVG illustration of a hamster playing table tennis.

#79 MoonshotAI: Kimi K2.5

medium
Cost
$0.030
Time
58.6s
Tokens
8,683 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-06-04 13:43 New test added 6.8 10.0 $0.328 Compare
2026-05-22 00:12 Suite changed 6.7 10.0 $0.314 Current run
2026-04-20 17:48 First recorded run 7.0 N/A $0.220 Compare

This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.

Run comparison

RunScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-05-22 00:12 · Suite changed6.76.810.09/208174,8030$0.31489.36s
2026-04-20 17:48 · First recorded run7.06.8N/A9/187127,0460$0.22072.43s
Difference-0.30.00+1+477570+$0.094+16930ms

These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.

Charts

Choose the first model, then click a second model to open a side-by-side page.

Total Output Tokens

Score vs Total Output Tokens

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 7.3 5.8
Coding 4.1 1.9
Combined 10.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 3.5 4.4
General Intelligence 6.5 3.4
Instructions following 10.0 10.0
Puzzle Solving 5.3 7.3
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models