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#75

MiMo-V2.5-Pro

Xiaomi Release: 2026-04-22 Tested on: 2026-04-22 21:39 xiaomi/mimo-v2.5-pro::none
(medium) (none)

Summary

MiMo-V2.5-Pro scores 5.8 on AI BENCHY and ranks #75. It has N/A reliability, a 46.3% pass rate, $0.033 total cost, and 1.51s average response time.

What makes MiMo-V2.5-Pro unique: It stands out most in Coding, where it ranks #3, while Anti-AI Tricks is its weakest area at #14. Its total benchmark cost is unusually low for its score range. It is notably fast compared with similar models.

Score

5.8

Consistency

8.3

Reliability

N/A

Total Output Tokens

2,451

Total Input Tokens

0

Input Price

$1.000 / 1M

Output Price

$3.000 / 1M

Tests Correct

Wrong Tests: 12

Attempt pass rate: 46.3%

Flaky tests

4

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

Response Time (avg)

1.51s

Response Time (max): 3.54s

Response Time (total): 27.21s

Generation showcase

Hamster playing table tennis

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

#75 MiMo-V2.5-Pro

none
Cost
$0.004
Time
46.4s
Tokens
4,025 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-06-04 13:48 New test added 5.5 10.0 $0.017 Compare
2026-05-08 15:29 Suite changed 5.7 10.0 $0.035 Compare
2026-04-22 21:39 First recorded run 5.8 N/A $0.033 Current run

Run comparison

RunScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-22 21:39 · First recorded run5.88.3N/A6/1842,4510$0.0331.51s
2026-06-04 13:48 · New test added5.58.610.06/2143,04330,724$0.0171.78s
Difference+0.3-0.300-592-30724+$0.017-270ms

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 2.9 7.9
Coding 6.4 3.3
Combined 3.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 5.3 10.0
General Intelligence 4.5 10.0
Instructions following 6.4 10.0
Puzzle Solving 6.7 4.7
Tool Calling 10.0 10.0

Compared models