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Claude Opus 4.7 (medium) vs GPT-5.6 Luna (high)

Claude Opus 4.7 (medium) leads on average score with 8.1 vs 8.0. GPT-5.6 Luna (high) has the lower benchmark cost at $0.207 vs $3.636. Claude Opus 4.7 (medium) is faster at 14.12s vs 18.39s, with pass rates of 81.2% vs 71.0%.

Last updated at: 2026-10-01

Compared models

Rank
#88
Total Output Tokens
57,978
Response Time (avg)
14.12s
Total Cost
$3.636
Rank
#91
Total Output Tokens
139,395
Response Time (avg)
18.39s
Total Cost
$0.207
Recommended model GPT-5.6 Luna (high)

Its score stays close to the best score here (8.0 vs 8.1), while costing about 17.6x less than Claude Opus 4.7 (medium).

Detailed comparison

Metric Claude Opus 4.7 Claude Opus 4.7 medium Release: 2026-04-16 GPT-5.6 Luna GPT-5.6 Luna high Release: 2026-07-09
Score 8.1 8.0
Rank #88 #91
Reliability 10.0 10.0
Consistency 9.3 8.6
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 81.2% 71.0%
Flaky tests 2 4
Total Runs 69 69
Cost per result 20.200 5.882
Total Cost $3.636 $0.207
Input Price $5.000 / 1M $0.200 / 1M
Output Price $25.000 / 1M $1.200 / 1M
Total Input Tokens 437,293 197,896
Output Tokens 29,102 6,211
Reasoning Tokens 28,876 133,184
Response Time (avg) 14.12s 18.39s
Response Time (max) 150.60s 111.09s
Response Time (total) 310.55s 422.93s
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.

#88 Claude Opus 4.7

medium
Cost
$0.059
Time
26.8s
Tokens
2,475 tok

#91 GPT-5.6 Luna

high
Cost
$0.033
Time
34.2s
Tokens
5,484 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 4.7 7.6 7.2 77.8% 1 12.96s 10,635 7,629 1,114
GPT-5.6 Luna 5.5 4.7 55.6% 2 15.63s 7,302 510 17,746

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