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#101

MiMo-V2.6-Flash

Xiaomi Release: 2026-09-22 Tested on: 2026-09-21 23:34 xiaomi/mimo-v2.6-flash::low
309B total (15B active)MoEOpen source
(low) (none)

Summary

MiMo-V2.6-Flash scores 7.6 on AI BENCHY and ranks #101. It has 10.0 reliability, a 66.7% pass rate, $0.174 total cost, and 52.15s average response time.

What makes MiMo-V2.6-Flash unique: It stands out most in Coding, where it ranks #2, while Instructions following is its weakest area at #15. It uses unusually many reasoning tokens, which can help explain its slower or more expensive runs.

Model facts

Researched on 2026-09-22

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

Official RL checkpoint card reports the parameter counts, MIT licensing, public weights, and SGLang/vLLM deployment instructions. The card identifies availability through OpenRouter.

Parameter source Availability source

Score

7.6

Consistency

8.2

Reliability

10.0

Total Cost (Current Price)

$0.174

Total Output Tokens

556,370

Total Input Tokens

124,601

Input Price

$0.140 / 1M

Output Price

$0.280 / 1M

Tests Correct

Wrong Tests: 10

Attempt pass rate: 66.7%

Flaky tests

5

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

Response Time (avg)

52.15s

Response Time (max): 345.18s

Response Time (total): 1147.24s

Wrong answer: 4 Did not follow instructions: 2 No answer: 2 Extra formatting: 1 Invalid tool call: 1

Hamster playing table tennis

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

#101 MiMo-V2.6-Flash

low
Cost
$0.009
Time
167.2s
Tokens
29,794 tok

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

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Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 8.2 7.9
Coding 8.4 7.4
Combined 6.6 9.1
Data parsing and extraction 10.0 10.0
Domain specific 3.0 10.0
General Intelligence 4.8 3.2
Instructions following 8.0 6.6
Puzzle Solving 8.2 7.2
Tool Calling 10.0 10.0
Trivia 3.0 10.0

Compared models