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DeepSeek V3.2 vs MiniMax M2.7 (medium)

The average score is effectively tied at 5.0 vs 5.0. DeepSeek V3.2 has the lower benchmark cost at $0.054 vs $0.208. DeepSeek V3.2 is faster at 17.89s vs 43.25s, with pass rates of 36.4% vs 45.5%.

Last updated at: 2026-08-29

Rank
#248
Total Output Tokens
42,099
Response Time (avg)
17.89s
Total Cost
$0.054
Rank
#246
Total Output Tokens
147,704
Response Time (avg)
43.25s
Total Cost
$0.208
Recommended model DeepSeek V3.2

It has the best score here (5.0), while costing about 3.9x less than MiniMax M2.7 (medium).

Detailed comparison

Metric DeepSeek V3.2 DeepSeek V3.2 none Release: 2025-12-01 MiniMax M2.7 MiniMax M2.7 medium Release: 2026-03-18
Score 5.0 5.0
Rank #248 #246
Reliability 10.0 10.0
Consistency 8.1 6.6
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 36.4% 45.5%
Flaky tests 5 9
Total Runs 66 66
Cost per result 0.870 4.149
Total Cost $0.054 $0.208
Input Price $0.269 / 1M $0.300 / 1M
Output Price $0.400 / 1M $1.200 / 1M
Total Input Tokens 135,831 114,527
Output Tokens 42,099 18,558
Reasoning Tokens 0 129,146
Response Time (avg) 17.89s 43.25s
Response Time (max) 115.89s 196.21s
Response Time (total) 393.53s 908.21s
Parameters 671B total (37B active) 230B total (10B active)
Availability Open source Weights available

Model generation showcase

Hamster playing table tennis

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

#248 DeepSeek V3.2

none
Cost
$0.002
Time
7.0s
Tokens
1,046 tok

#246 MiniMax M2.7

medium
Cost
$0.022
Time
22.8s
Tokens
9,250 tok

Top Models by Score

Score vs Total Cost

Response Time (avg)

Score vs Response Time (avg)

Total Output Tokens

Score vs Total Output Tokens

Category Breakdown

Coding Score Consistency Attempt pass rate Flaky tests Tests Correct Response Time (avg) Input Tokens Output Tokens Reasoning Tokens
DeepSeek V3.2 3.1 6.9 11.1% 1 14.54s 7,279 4,528 0
MiniMax M2.7 5.7 9.1 33.3% 0 101.89s 2,961 1,231 38,841

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