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GPT-5.6 Luna (high) vs Qwen3.7 Max

GPT-5.6 Luna (high) leads on average score with 8.0 vs 7.9. GPT-5.6 Luna (high) has the lower benchmark cost at $0.207 vs $0.492. Qwen3.7 Max is faster at 7.85s vs 18.39s, with pass rates of 71.0% vs 69.6%.

Last updated at: 2026-10-01

Compared models

Rank
#91
Total Output Tokens
139,395
Response Time (avg)
18.39s
Total Cost
$0.207
Rank
#100
Total Output Tokens
20,670
Response Time (avg)
7.85s
Total Cost
$0.492
Recommended model GPT-5.6 Luna (high)

It has the best score here (8.0), while costing about 2.4x less than Qwen3.7 Max.

Detailed comparison

Metric GPT-5.6 Luna GPT-5.6 Luna high Release: 2026-07-09 Qwen3.7 Max Qwen3.7 Max none Release: 2026-05-22
Score 8.0 7.9
Rank #91 #100
Reliability 10.0 9.9
Consistency 8.6 10.0
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 71.0% 69.6%
Flaky tests 4 0
Total Runs 69 69
Cost per result 5.882 3.070
Total Cost $0.207 $0.492
Input Price $0.200 / 1M $1.475 / 1M
Output Price $1.200 / 1M $4.425 / 1M
Total Input Tokens 197,896 243,553
Output Tokens 6,211 20,670
Reasoning Tokens 133,184 0
Response Time (avg) 18.39s 7.85s
Response Time (max) 111.09s 80.34s
Response Time (total) 422.93s 180.65s
Parameters ~400B total (~17B active) ~1T total (~40B active)
Availability Closed Closed

Model generation showcase

Hamster playing table tennis

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

#91 GPT-5.6 Luna

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

#100 Qwen3.7 Max

none
Cost
$0.046
Time
195.0s
Tokens
12,171 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
Qwen3.7 Max 5.5 10.0 33.3% 0 1.35s 7,911 582 0

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