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Claude Opus 4.8 vs GPT-5.6 Luna (low)

Claude Opus 4.8 leads on average score with 6.9 vs 6.9. GPT-5.6 Luna (low) has the lower benchmark cost at $0.075 vs $2.328. GPT-5.6 Luna (low) is faster at 6.96s vs 7.71s, with pass rates of 60.9% vs 56.5%.

Last updated at: 2026-10-01

Compared models

Rank
#162
Total Output Tokens
24,523
Response Time (avg)
7.71s
Total Cost
$2.328
Rank
#166
Total Output Tokens
28,001
Response Time (avg)
6.96s
Total Cost
$0.075
Recommended model GPT-5.6 Luna (low)

Its score stays close to the best score here (6.9 vs 6.9), while costing about 31.4x less than Claude Opus 4.8.

Detailed comparison

Metric Claude Opus 4.8 Claude Opus 4.8 none Release: 2026-05-28 GPT-5.6 Luna GPT-5.6 Luna low Release: 2026-07-09
Score 6.9 6.9
Rank #162 #166
Reliability 10.0 10.0
Consistency 9.3 8.3
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 60.9% 56.5%
Flaky tests 2 5
Total Runs 69 69
Cost per result 17.906 2.428
Total Cost $2.328 $0.075
Input Price $5.000 / 1M $0.200 / 1M
Output Price $25.000 / 1M $1.200 / 1M
Total Input Tokens 342,921 202,680
Output Tokens 24,523 9,230
Reasoning Tokens 0 18,771
Response Time (avg) 7.71s 6.96s
Response Time (max) 69.14s 45.74s
Response Time (total) 177.38s 160.19s
Parameters ~5T total (~500B active) ~400B total (~17B active)
Availability Closed Closed

Model generation showcase

Hamster playing table tennis

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

#162 Claude Opus 4.8

none
Cost
$0.053
Time
22.0s
Tokens
2,253 tok

#166 GPT-5.6 Luna

low
Cost
$0.011
Time
10.2s
Tokens
1,897 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
Claude Opus 4.8 5.5 10.0 33.3% 0 3.29s 10,590 1,332 0
GPT-5.6 Luna 5.5 10.0 33.3% 0 4.61s 7,302 557 3,535

Quick Compare

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