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DeepSeek V4 Flash 0731 (high) vs GPT-5.2 Chat

The average score is effectively tied at 8.0 vs 8.0. DeepSeek V4 Flash 0731 (high) has the lower benchmark cost at $0.123 vs $0.604. GPT-5.2 Chat is faster at 7.65s vs 110.77s, with pass rates of 78.8% vs 74.2%.

Last updated at: 2026-08-01

Rank
#40
Total Output Tokens
544,164
Response Time (avg)
110.77s
Total Cost
$0.123
Rank
#38
Total Output Tokens
30,424
Response Time (avg)
7.65s
Total Cost
$0.604
Recommended model GPT-5.2 Chat

It has the best score here (8.0), while responding about 14.5x faster than DeepSeek V4 Flash 0731 (high).

Detailed comparison

Metric DeepSeek V4 Flash 0731 DeepSeek V4 Flash 0731 high Release: 2026-08-01 GPT-5.2 Chat GPT-5.2 Chat none Release: 2025-12-11
Score 8.0 8.0
Rank #40 #38
Reliability 9.6 10.0
Consistency 7.8 8.6
Tests Correct
Attempt pass rate 78.8% 74.2%
Flaky tests 6 4
Total Runs 66 66
Cost per result 0.878 4.308
Total Cost $0.123 $0.604
Input Price $0.140 / 1M $1.750 / 1M
Output Price $0.280 / 1M $14.000 / 1M
Total Input Tokens 96,609 101,248
Output Tokens 32,924 30,424
Reasoning Tokens 511,240 0
Response Time (avg) 110.77s 7.65s
Response Time (max) 600.61s 38.52s
Response Time (total) 2437.00s 168.39s

Model generation showcase

Hamster playing table tennis

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

#40 DeepSeek V4 Flash 0731

high
Invalid SVG
Cost
$0.000
Time
187.3s
Tokens
19,048 tok

#38 GPT-5.2 Chat

none
Cost
$0.010
Time
15.3s
Tokens
797 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 V4 Flash 0731 6.3 4.2 77.8% 2 252.67s 7,044 2,160 191,210
GPT-5.2 Chat 8.8 7.8 88.9% 1 9.82s 7,305 6,731 0

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