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DeepSeek V4.1 Flash (max) vs GPT-6 Luna (high)

The average score is effectively tied at 8.3 vs 8.3. GPT-6 Luna (high) has the lower benchmark cost at $0.054 vs $0.445. GPT-6 Luna (high) is faster at 17.53s vs 61.35s, with pass rates of 68.2% vs 75.8%.

Last updated at: 2026-09-23

Compared models

Rank
#71
Total Output Tokens
871,126
Response Time (avg)
61.35s
Total Cost
$0.445
Rank
#73
Total Output Tokens
91,405
Response Time (avg)
17.53s
Total Cost
$0.054
Recommended model GPT-6 Luna (high)

It has the best score here (8.3), while costing about 8.3x less than DeepSeek V4.1 Flash (max).

Detailed comparison

Metric DeepSeek V4.1 Flash DeepSeek V4.1 Flash max Release: 2026-09-10 GPT-6 Luna GPT-6 Luna high Release: 2026-09-23
Score 8.3 8.3
Rank #71 #73
Reliability 9.1 10.0
Consistency 9.2 9.0
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 68.2% 75.8%
Flaky tests 2 3
Total Runs 66 66
Cost per result 3.829 0.359
Total Cost $0.445 $0.054
Input Price $0.100 / 1M $0.100 / 1M
Output Price $0.500 / 1M $0.500 / 1M
Total Input Tokens 89,024 80,441
Output Tokens 5,558 4,761
Reasoning Tokens 865,568 86,644
Response Time (avg) 61.35s 17.53s
Response Time (max) 335.08s 106.93s
Response Time (total) 1349.61s 385.74s
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.

#71 DeepSeek V4.1 Flash

max
Cost
$0.066
Time
211.0s
Tokens
54,712 tok

#73 GPT-6 Luna

high
Cost
$0.003
Time
49.2s
Tokens
5,231 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 10.0 10.0 100.0% 0 62.50s 7,509 373 132,357
GPT-6 Luna 7.8 7.4 77.8% 1 24.69s 7,302 483 15,691

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