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#43

MiMo-V2.5-Pro

Xiaomi Release: 2026-04-22 Tested on: 2026-06-04 13:52 xiaomi/mimo-v2.5-pro::medium
(medium) (none)

Summary

MiMo-V2.5-Pro scores 7.5 on AI BENCHY and ranks #43. It has 10.0 reliability, a 68.3% pass rate, $0.106 total cost, and 26.13s average response time.

What makes MiMo-V2.5-Pro unique: It stands out most in Domain specific, where it ranks #3, while Data parsing and extraction is its weakest area at #15.

Score

7.5

Consistency

8.5

Total Cost (Current Price)

$0.106 ↓ -65.4%

Tested at: $0.305

Total Output Tokens

102,757

Total Input Tokens

40,854

Input Price

$0.435 / 1M

Output Price

$0.870 / 1M

Tests Correct

Wrong Tests: 9

Attempt pass rate: 68.3%

Flaky tests

4

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

Response Time (avg)

26.13s

Response Time (max): 130.77s

Response Time (total): 548.65s

Generation showcase

Hamster playing table tennis

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

#43 MiMo-V2.5-Pro

medium
Invalid SVG
Cost
$0.000
Time
300.0s
Tokens
0 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-06-04 13:52 New test added 7.5 10.0 $0.106 Current run
2026-05-08 15:28 Suite changed 8.1 10.0 $0.200 Compare
2026-04-22 22:54 First recorded run 8.1 N/A $0.201 Compare

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

Price History

Historical pricing data for this model from OpenRouter.

Date Input Price Output Price
2026-06-04 15:40 $0.435 / 1M $0.870 / 1M

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 10.0 10.0
Coding 6.2 4.7
Combined 10.0 10.0
Data parsing and extraction 7.3 5.8
Domain specific 5.3 10.0
General Intelligence 5.5 10.0
Instructions following 9.9 10.0
Puzzle Solving 6.7 7.9
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models