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DeepSeek: DeepSeek V3.2 vs MiniMax: MiniMax M2.7

Summary

The average score is effectively tied at 5.0 vs 5.0. DeepSeek V3.2 has the lower benchmark cost at $0.054 vs $0.196. DeepSeek V3.2 is faster at 18.25s vs 41.28s, with pass rates of 37.9% vs 45.5%.

Recommended modelDeepSeek V3.2It has the best score here (5.0), while costing about 3.7x less than MiniMax M2.7 (medium).

Last updated at: 2026-07-17

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 #165 #164
Reliability 10.0 10.0
Consistency 7.7 6.6
Tests Correct
Attempt pass rate 37.9% 45.5%
Flaky tests 6 9
Total Runs 66 66
Cost per result 0.870 3.906
Total Cost $0.054 $0.196
Input Price $0.269 / 1M $0.300 / 1M
Output Price $0.400 / 1M $1.200 / 1M
Total Input Tokens 135,780 114,518
Output Tokens 42,097 18,558
Reasoning Tokens 0 119,036
Response Time (avg) 18.25s 41.28s
Response Time (max) 115.89s 196.21s
Response Time (total) 401.60s 866.81s

Generation showcase

Hamster playing table tennis

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

#165 DeepSeek V3.2

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

#164 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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