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OpenAI: GPT-5.6 Luna vs Poolside: Laguna S 2.1

The average score is effectively tied at 5.4 vs 5.4. Laguna S 2.1 (high) has the lower benchmark cost at $0.127 vs $0.142. GPT-5.6 Luna is faster at 1.50s vs 111.61s, with pass rates of 34.9% vs 27.3%.

Recommended modelGPT-5.6 LunaIt has the best score here (5.4), while responding about 74.6x faster than Laguna S 2.1 (high).

Last updated at: 2026-07-22

Metric GPT-5.6 Luna GPT-5.6 Luna none Release: 2026-07-09 Laguna S 2.1 Laguna S 2.1 high Release: 2026-07-21 Free Available
Score 5.4 5.4
Rank #166 #167
Reliability 10.0 9.9
Consistency 8.8 8.1
Tests Correct
Attempt pass rate 34.9% 27.3%
Flaky tests 3 5
Total Runs 66 66
Cost per result 2.360 3.153
Total Cost $0.142 $0.127
Input Price $1.000 / 1M $0.100 / 1M
Output Price $6.000 / 1M $0.200 / 1M
Total Input Tokens 101,323 208,931
Output Tokens 6,709 175,588
Reasoning Tokens 0 409,276
Response Time (avg) 1.50s 111.61s
Response Time (max) 10.57s 1190.11s
Response Time (total) 32.91s 2455.39s

Hamster playing table tennis

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

#166 GPT-5.6 Luna

none
Cost
$0.016
Time
15.8s
Tokens
2,685 tok

#167 Laguna S 2.1

high
Cost
$0.001
Time
6.8s
Tokens
1,389 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 3.8 7.2 22.2% 1 980ms 7,302 459 0
Laguna S 2.1 5.3 7.2 44.4% 1 271.42s 6,496 59,355 151,009

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