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#77

MiniMax M2.5

Minimax Release: 2026-02-12 Tested on: 2026-04-20 17:48 minimax/minimax-m2.5::medium
230B total (10B active)MoEWeights available

Summary

MiniMax M2.5 scores 5.7 on AI BENCHY and ranks #77. It has N/A reliability, a 57.4% pass rate, $0.250 total cost, and 39.65s average response time.

Model facts

Researched on 2026-08-12

Reported
Parameters
230B total (10B active)
Architecture
MoE
Availability
Weights available
License
MiniMax modified MIT

Score

5.7

Consistency

5.6

Reliability

N/A

Total Output Tokens

313,466

Total Input Tokens

0

Input Price

$0.150 / 1M

Output Price

$1.200 / 1M

Tests Correct

Wrong Tests: 13

Attempt pass rate: 57.4%

Flaky tests

10

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

Response Time (avg)

39.65s

Response Time (max): 237.27s

Response Time (total): 396.47s

Hamster playing table tennis

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

#77 MiniMax M2.5

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

Run history

Tested on Score Reliability Tests Correct Total Cost Compare
2026-08-14 01:38 Re-test 4.6 10.0 $0.272 Compare
2026-07-16 21:18 New test added 4.6 10.0 $0.340 Compare
2026-06-04 13:23 New test added 5.3 8.9 $0.385 Compare
2026-05-21 23:48 Suite changed 5.4 8.3 $0.305 Compare
2026-04-20 17:48 First recorded run 5.7 N/A $0.250 Current run

Run comparison

RunBenchmark coverageScoreConsistencyReliabilityTests CorrectFlaky testsTotal Output TokensTotal Input TokensTotal CostResponse Time (avg)
2026-04-20 17:48 · First recorded run54/54 attempts5.75.6N/A5/1810313,4660$0.25039.65s
2026-05-21 23:48 · Suite changed60/60 attempts5.46.18.35/2010360,6720$0.30550.25s
Difference+0.3-0.500-472060-$0.055-10608ms

Benchmark coverage differs: 54/54 attempts (Target: 3 repeats per test) versus 60/60 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

Quick Compare

Category Breakdown

Category Score Consistency Tests Correct
Anti-AI Tricks 7.9 6.3
Coding 3.0 10.0
Combined 4.5 2.1
Data parsing and extraction 4.6 1.7
Domain specific 2.9 4.4
General Intelligence 3.8 2.5
Instructions following 8.1 6.8
Puzzle Solving 5.3 7.2
Tool Calling 10.0 10.0

Compared models