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#67

MiMo-V2-Flash

Xiaomi Release: 2025-12-16 Tested on: 2026-05-22 00:20 xiaomi/mimo-v2-flash::medium
309B total (15B active)MoEOpen source
(medium) (none)

Summary

MiMo-V2-Flash scores 7.1 on AI BENCHY and ranks #67. It has 10.0 reliability, a 63.3% pass rate, $0.038 total cost, and 20.26s average response time.

What makes MiMo-V2-Flash unique: It stands out most in Domain specific, where it ranks #1, while Coding is its weakest area at #18. Its total benchmark cost is unusually low for its score range.

Archived model: this model is no longer updated or tested on new tests.

Model facts

Researched on 2026-08-12

Reported
Parameters
309B total (15B active)
Architecture
MoE
Availability
Open source
License
MIT

Score

7.1

Consistency

8.7

Total Output Tokens

127,609

Total Input Tokens

0

Input Price

$0.100 / 1M

Output Price

$0.300 / 1M

Tests Correct

Wrong Tests: 9

Attempt pass rate: 63.3%

Flaky tests

3

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

Response Time (avg)

20.26s

Response Time (max): 96.01s

Response Time (total): 283.68s

Hamster playing table tennis

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

#67 MiMo-V2-Flash

medium
Invalid SVG
Cost
$0.020
Time
284.1s
Tokens
65,689 tok

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-06-04 13:48 New test added 6.3 10.0 $0.043 Compare
2026-05-22 00:20 Suite changed 7.1 10.0 $0.038 Current run
2026-04-11 01:44 First recorded run 7.5 N/A $0.038 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 00:20 · Suite changed60/60 attempts7.18.710.011/203127,6090$0.03820.26s
2026-04-11 01:44 · First recorded run54/54 attempts7.58.6N/A11/183127,5690$0.03823.36s
Difference-0.4+0.100+400+$0.001-3099ms

Benchmark coverage differs: 60/60 attempts (Target: 3 repeats per test) versus 54/54 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 8.1 7.9
Coding 4.1 5.8
Combined 9.8 10.0
Data parsing and extraction 6.5 10.0
Domain specific 5.9 7.2
General Intelligence 4.0 10.0
Instructions following 10.0 10.0
Puzzle Solving 7.7 10.0
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models