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GPT-5.6 Luna (high) vs Qwen3.5-27B (medium)

GPT-5.6 Luna (high) leads on average score with 7.6 vs 7.5. GPT-5.6 Luna (high) has the lower benchmark cost at $0.179 vs $0.982. GPT-5.6 Luna (high) is faster at 16.49s vs 113.28s, with pass rates of 69.7% vs 75.8%.

Last updated at: 2026-08-20

Rank
#78
Total Output Tokens
135,315
Response Time (avg)
16.49s
Total Cost
$0.179
Rank
#87
Total Output Tokens
614,909
Response Time (avg)
113.28s
Total Cost
$0.982
Recommended model GPT-5.6 Luna (high)

It has the best score here (7.6), while costing about 5.5x less than Qwen3.5-27B (medium).

Detailed comparison

Metric GPT-5.6 Luna GPT-5.6 Luna high Release: 2026-07-09 Qwen3.5-27B Qwen3.5-27B medium Release: 2026-02-24
Score 7.6 7.5
Rank #78 #87
Reliability 10.0 10.0
Consistency 8.5 7.8
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 69.7% 75.8%
Flaky tests 4 6
Total Runs 66 66
Cost per result 6.100 8.217
Total Cost $0.179 $0.982
Input Price $0.200 / 1M $0.195 / 1M
Output Price $1.200 / 1M $1.560 / 1M
Total Input Tokens 80,927 111,644
Output Tokens 5,088 16,113
Reasoning Tokens 130,227 598,796
Response Time (avg) 16.49s 113.28s
Response Time (max) 111.09s 1026.43s
Response Time (total) 362.78s 2492.26s
Parameters ~400B total (~17B active) 27B
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

#87 Qwen3.5-27B

medium
Cost
$0.008
Time
62.0s
Tokens
3,099 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
Qwen3.5-27B 6.2 7.1 55.6% 1 160.69s 7,895 6,381 89,388

Quick Compare

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