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DeepSeek V4.1 Flash 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 $0.029 vs $0.185. GPT-5.6 Luna is faster at 1.50s vs 14.85s, with pass rates of 34.9% vs 36.4%.

Last updated at: 2026-09-10

Compared models

Rank
#248
Total Output Tokens
273,780
Response Time (avg)
14.85s
Total Cost
$0.185
Rank
#251
Total Output Tokens
6,709
Response Time (avg)
1.50s
Total Cost
$0.029
Recommended model GPT-5.6 Luna

It has the best score here (5.4), while costing about 6.5x less than DeepSeek V4.1 Flash.

Detailed comparison

Metric DeepSeek V4.1 Flash DeepSeek V4.1 Flash none Release: 2026-09-10 GPT-5.6 Luna GPT-5.6 Luna none Release: 2026-07-09
Score 5.4 5.4
Rank #248 #251
Reliability 9.6 10.0
Consistency 9.3 8.8
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 34.9% 36.4%
Flaky tests 2 3
Total Runs 66 66
Cost per result 2.642 2.357
Total Cost $0.185 $0.029
Input Price $0.150 / 1M $0.200 / 1M
Output Price $0.600 / 1M $1.200 / 1M
Total Input Tokens 137,687 101,332
Output Tokens 273,780 6,709
Reasoning Tokens 0 0
Response Time (avg) 14.85s 1.50s
Response Time (max) 247.66s 10.57s
Response Time (total) 326.72s 33.05s
Parameters 748B total (16B 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.

#248 DeepSeek V4.1 Flash

none
Cost
$0.021
Time
55.4s
Tokens
17,181 tok

#251 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 V4.1 Flash 5.5 10.0 33.3% 0 83.66s 7,284 263,438 0
GPT-5.6 Luna 3.8 7.2 22.2% 1 980ms 7,302 459 0

Quick Compare

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