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#126

Kimi K2.5

Moonshot AI Release: 2026-01-27 Tested on: 2026-05-22 00:03 moonshotai/kimi-k2.5::none
1T total (32B active)MoEWeights available
(medium) (none)

Summary

Kimi K2.5 scores 5.3 on AI BENCHY and ranks #126. It has 10.0 reliability, a 36.7% pass rate, $0.026 total cost, and 14.16s average response time.

What makes Kimi K2.5 unique: It stands out most in Domain specific, where it ranks #1, while Combined is its weakest area at #18. Its total benchmark cost is unusually low for its score range.

Model facts

Researched on 2026-08-12

Reported
Parameters
1T total (32B active)
Architecture
MoE
Availability
Weights available
License
Modified MIT

Score

5.3

Consistency

8.9

Total Output Tokens

6,734

Total Input Tokens

0

Input Price

$0.400 / 1M

Output Price

$1.900 / 1M

Tests Correct

Wrong Tests: 14

Attempt pass rate: 36.7%

Flaky tests

3

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

Response Time (avg)

14.16s

Response Time (max): 42.13s

Response Time (total): 184.10s

Hamster playing table tennis

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

#126 MoonshotAI: Kimi K2.5

none
Cost
$0.015
Time
89.1s
Tokens
5,421 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 01:55 Re-test 5.4 10.0 $0.127 Compare
2026-07-16 22:13 New test added 5.5 10.0 $0.127 Compare
2026-06-04 13:32 New test added 5.2 10.0 $0.028 Compare
2026-05-22 00:03 Suite changed 5.3 10.0 $0.026 Current run
2026-04-20 17:48 First recorded run 5.5 N/A $0.017 Compare

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

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-05-22 00:03 · Suite changed60/60 attempts5.38.910.06/2036,7340$0.02614.16s
2026-06-04 13:32 · New test added63/63 attempts5.28.910.06/2136,65736,034$0.02813.18s
Difference+0.10.00.000+77-36034-$0.002+985ms

Benchmark coverage differs: 60/60 attempts (Target: 3 repeats per test) versus 63/63 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.

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 3.6 8.4
Coding 6.8 10.0
Combined 2.8 2.1
Data parsing and extraction 7.3 5.8
Domain specific 5.3 10.0
General Intelligence 10.0 10.0
Instructions following 6.5 10.0
Puzzle Solving 3.0 10.0
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models