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DeepSeek V4 Pro (high) vs GPT 5.3 Chat

DeepSeek V4 Pro (high) leads on average score with 7.7 vs 7.5. GPT 5.3 Chat has the lower benchmark cost at $0.533 vs $0.761. GPT 5.3 Chat is faster at 6.56s vs 92.50s, with pass rates of 63.6% vs 65.2%.

Last updated at: 2026-08-20

Rank
#75
Total Output Tokens
209,444
Response Time (avg)
92.50s
Total Cost
$0.761
Rank
#85
Total Output Tokens
28,179
Response Time (avg)
6.56s
Total Cost
$0.533
Recommended model GPT 5.3 Chat

Its score stays close to the best score here (7.5 vs 7.7), while responding about 14.1x faster than DeepSeek V4 Pro (high).

Detailed comparison

Metric DeepSeek V4 Pro DeepSeek V4 Pro high Release: 2026-04-24 GPT 5.3 Chat GPT 5.3 Chat none Release: 2026-03-03
Score 7.7 7.5
Rank #75 #85
Reliability 10.0 10.0
Consistency 7.7 8.6
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 63.6% 65.2%
Flaky tests 6 4
Total Runs 66 66
Cost per result 2.251 4.097
Total Cost $0.761 $0.533
Input Price $1.600 / 1M $1.750 / 1M
Output Price $3.200 / 1M $14.000 / 1M
Total Input Tokens 90,757 78,846
Output Tokens 22,928 28,179
Reasoning Tokens 186,516 0
Response Time (avg) 92.50s 6.56s
Response Time (max) 416.76s 18.33s
Response Time (total) 2035.01s 137.77s
Parameters 1.6T total (49B active) ~400B total (~17B active)
Availability Open source Closed

Model generation showcase

Hamster playing table tennis

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

#75 DeepSeek V4 Pro

high
Cost
$0.023
Time
257.6s
Tokens
14,870 tok

#85 GPT 5.3 Chat

none
Cost
$0.008
Time
8.1s
Tokens
634 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 Pro 6.3 8.7 33.3% 0 243.00s 5,090 383 84,580
GPT 5.3 Chat 5.6 4.7 55.6% 2 10.52s 7,302 6,632 0

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