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#70

Mimo V2 PRO

Xiaomi Release: 2026-03-18 Tested on: 2026-04-11 01:44 xiaomi/mimo-v2-pro::none
(medium) (none)

Summary

Mimo V2 PRO scores 6.0 on AI BENCHY and ranks #70. It has N/A reliability, a 48.2% pass rate, $0.043 total cost, and 2.39s average response time.

What makes Mimo V2 PRO unique: It stands out most in Coding, where it ranks #1, while Anti-AI Tricks is its weakest area at #18. Its total benchmark cost is unusually low for its score range. It is notably fast compared with similar models.

Archived model: this model is no longer updated or tested on new tests.

Identity note

Hunter Alpha was the stealth version of Mimo V2 PRO.

Score

6.0

Consistency

8.6

Reliability

N/A

Total Output Tokens

2,320

Total Input Tokens

0

Input Price

$1.000 / 1M

Output Price

$3.000 / 1M

Tests Correct

Wrong Tests: 11

Attempt pass rate: 48.2%

Flaky tests

3

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

Response Time (avg)

2.39s

Response Time (max): 6.58s

Response Time (total): 43.06s

Hamster playing table tennis

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

#70 MiMo-V2-Pro

none
This model has been deprecated. It is recommended to migrate to xiaomi/mimo-v2.5-pro
Cost
$0.000
Time
0.1s
Tokens
0 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-06-04 13:47 New test added 5.6 10.0 $0.045 Compare
2026-05-22 00:20 Suite changed 5.7 10.0 $0.047 Compare
2026-04-11 01:44 First recorded run 6.0 N/A $0.043 Current run

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-11 01:44 · First recorded run18/18 tests · 54/54 attempts6.08.6N/A7/1832,3200$0.0432.39s
2026-06-04 13:47 · New test added21/21 tests · 63/63 attempts5.68.410.07/2132,35239,344$0.0452.27s
Difference+0.4+0.200-32-39344-$0.003+117ms

Benchmark coverage differs: 18/18 tests · 54/54 attempts (Target: 3 repeats per test) versus 21/21 tests · 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

Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 3.5 8.0
Coding 10.0 10.0
Combined 3.0 10.0
Data parsing and extraction 10.0 10.0
Domain specific 5.3 7.2
General Intelligence 4.3 9.9
Instructions following 6.5 10.0
Puzzle Solving 6.0 7.1
Tool Calling 10.0 10.0

Compared models