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DeepSeek V4 Flash 0731 vs GPT-5.6 Luna

The average score is effectively tied at 5.4 vs 5.4. GPT-5.6 Luna has the lower benchmark cost at $0.015 vs $0.021. GPT-5.6 Luna is faster at 1.50s vs 20.70s, with pass rates of 27.3% vs 34.9%.

Last updated at: 2026-08-01

Rank
#182
Total Output Tokens
25,424
Response Time (avg)
20.70s
Total Cost
$0.021
Rank
#181
Total Output Tokens
6,709
Response Time (avg)
1.50s
Total Cost
$0.015
Recommended model GPT-5.6 Luna

It has the best score here (5.4), while responding about 13.8x faster than DeepSeek V4 Flash 0731.

Detailed comparison

Metric DeepSeek V4 Flash 0731 DeepSeek V4 Flash 0731 none Release: 2026-08-01 GPT-5.6 Luna GPT-5.6 Luna none Release: 2026-07-09
Score 5.4 5.4
Rank #182 #181
Reliability 10.0 10.0
Consistency 8.6 8.8
Tests Correct
Attempt pass rate 27.3% 34.9%
Flaky tests 4 3
Total Runs 66 66
Cost per result 0.509 2.360
Total Cost $0.021 $0.015
Input Price $0.140 / 1M $0.100 / 1M
Output Price $0.280 / 1M $0.601 / 1M
Total Input Tokens 94,557 101,323
Output Tokens 25,424 6,709
Reasoning Tokens 0 0
Response Time (avg) 20.70s 1.50s
Response Time (max) 387.15s 10.57s
Response Time (total) 455.38s 32.91s

Model generation showcase

Hamster playing table tennis

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

#182 DeepSeek V4 Flash 0731

none
Cost
$0.004
Time
198.4s
Tokens
14,316 tok

#181 GPT-5.6 Luna

none
Cost
$0.016
Time
15.8s
Tokens
2,685 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 4.3 10.0 0.0% 0 1.72s 7,275 505 0
GPT-5.6 Luna 3.8 7.2 22.2% 1 980ms 7,302 459 0

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