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GPT-5.6 Luna (high) vs Step 3.7 Flash (low)

GPT-5.6 Luna (high) leads on average score with 7.6 vs 7.1. GPT-5.6 Luna (high) has the lower benchmark cost at $0.179 vs $0.390. GPT-5.6 Luna (high) is faster at 16.49s vs 17.87s, with pass rates of 69.7% vs 63.6%.

Last updated at: 2026-08-20

Rank
#78
Total Output Tokens
135,315
Response Time (avg)
16.49s
Total Cost
$0.179
Rank
#113
Total Output Tokens
320,393
Response Time (avg)
17.87s
Total Cost
$0.390
Recommended model GPT-5.6 Luna (high)

It has the best score here (7.6), while costing about 2.2x less than Step 3.7 Flash (low).

Detailed comparison

Metric GPT-5.6 Luna GPT-5.6 Luna high Release: 2026-07-09 Step 3.7 Flash Step 3.7 Flash low Release: 2026-05-29
Score 7.6 7.1
Rank #78 #113
Reliability 10.0 10.0
Consistency 8.5 8.1
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 69.7% 63.6%
Flaky tests 4 5
Total Runs 66 66
Cost per result 6.100 3.539
Total Cost $0.179 $0.390
Input Price $0.200 / 1M $0.200 / 1M
Output Price $1.200 / 1M $1.150 / 1M
Total Input Tokens 80,927 103,842
Output Tokens 5,088 320,393
Reasoning Tokens 130,227 0
Response Time (avg) 16.49s 17.87s
Response Time (max) 111.09s 124.75s
Response Time (total) 362.78s 393.04s
Parameters ~400B total (~17B active) 198B total (11B active)
Availability Closed Open source

Model generation showcase

Hamster playing table tennis

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

#78 GPT-5.6 Luna

high
Cost
$0.033
Time
34.2s
Tokens
5,484 tok

#113 Step 3.7 Flash

low
Invalid SVG
Cost
$0.004
Time
25.3s
Tokens
3,072 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
GPT-5.6 Luna 5.5 4.7 55.6% 2 15.63s 7,302 510 17,746
Step 3.7 Flash 8.2 7.2 88.9% 1 9.46s 7,437 18,685 0

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