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DeepSeek V4 Pro (high) vs GPT-5.6 Luna (high)

DeepSeek V4 Pro (high) leads on average score with 7.7 vs 7.6. GPT-5.6 Luna (high) has the lower benchmark cost at $0.179 vs $0.761. GPT-5.6 Luna (high) is faster at 16.49s vs 92.50s, with pass rates of 63.6% vs 69.7%.

Last updated at: 2026-08-20

Rank
#75
Total Output Tokens
209,444
Response Time (avg)
92.50s
Total Cost
$0.761
Rank
#78
Total Output Tokens
135,315
Response Time (avg)
16.49s
Total Cost
$0.179
Recommended model GPT-5.6 Luna (high)

Its score stays close to the best score here (7.6 vs 7.7), while costing about 4.3x less than DeepSeek V4 Pro (high).

Detailed comparison

Metric DeepSeek V4 Pro DeepSeek V4 Pro high Release: 2026-04-24 GPT-5.6 Luna GPT-5.6 Luna high Release: 2026-07-09
Score 7.7 7.6
Rank #75 #78
Reliability 10.0 10.0
Consistency 7.7 8.5
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 63.6% 69.7%
Flaky tests 6 4
Total Runs 66 66
Cost per result 2.251 6.100
Total Cost $0.761 $0.179
Input Price $1.600 / 1M $0.200 / 1M
Output Price $3.200 / 1M $1.200 / 1M
Total Input Tokens 90,757 80,927
Output Tokens 22,928 5,088
Reasoning Tokens 186,516 130,227
Response Time (avg) 92.50s 16.49s
Response Time (max) 416.76s 111.09s
Response Time (total) 2035.01s 362.78s
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

#78 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 Pro 6.3 8.7 33.3% 0 243.00s 5,090 383 84,580
GPT-5.6 Luna 5.5 4.7 55.6% 2 15.63s 7,302 510 17,746

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