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DeepSeek V4.1 Flash (low) vs GPT-5.6 Luna (high)

The average score is effectively tied at 8.0 vs 8.0. DeepSeek V4.1 Flash (low) has the lower benchmark cost at $0.153 vs $0.207. GPT-5.6 Luna (high) is faster at 18.39s vs 28.04s, with pass rates of 73.9% vs 71.0%.

Last updated at: 2026-10-01

Compared models

Rank
#90
Total Output Tokens
371,547
Response Time (avg)
28.04s
Total Cost
$0.153
Rank
#91
Total Output Tokens
139,395
Response Time (avg)
18.39s
Total Cost
$0.207
Recommended model GPT-5.6 Luna (high)

It has the best score here (8.0), while responding about 1.5x faster than DeepSeek V4.1 Flash (low).

Detailed comparison

Metric DeepSeek V4.1 Flash DeepSeek V4.1 Flash low Release: 2026-09-10 GPT-5.6 Luna GPT-5.6 Luna high Release: 2026-07-09
Score 8.0 8.0
Rank #90 #91
Reliability 9.6 10.0
Consistency 8.7 8.6
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 73.9% 71.0%
Flaky tests 4 4
Total Runs 69 69
Cost per result 1.576 5.882
Total Cost $0.153 $0.207
Input Price $0.020 / 1M $0.200 / 1M
Output Price $0.396 / 1M $1.200 / 1M
Total Input Tokens 266,849 197,896
Output Tokens 8,284 6,211
Reasoning Tokens 363,263 133,184
Response Time (avg) 28.04s 18.39s
Response Time (max) 149.84s 111.09s
Response Time (total) 645.03s 422.93s
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.

#90 DeepSeek V4.1 Flash

low
Cost
$0.017
Time
43.6s
Tokens
14,069 tok

#91 GPT-5.6 Luna

high
Cost
$0.033
Time
34.2s
Tokens
5,484 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 40.66s 7,509 378 81,978
GPT-5.6 Luna 5.5 4.7 55.6% 2 15.63s 7,302 510 17,746

Quick Compare

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