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Claude Opus 4.6 (medium) vs GPT-5.6 Luna (high)

Claude Opus 4.6 (medium) leads on average score with 7.7 vs 7.6. GPT-5.6 Luna (high) has the lower benchmark cost at $0.179 vs $2.961. GPT-5.6 Luna (high) is faster at 16.49s vs 32.23s, with pass rates of 63.6% vs 69.7%.

Last updated at: 2026-08-20

Rank
#74
Total Output Tokens
96,722
Response Time (avg)
32.23s
Total Cost
$2.961
Rank
#78
Total Output Tokens
135,315
Response Time (avg)
16.49s
Total Cost
$0.179
Recommended model GPT-5.6 Luna (high)

Its score stays close to the best score here (7.6 vs 7.7), while costing about 16.6x less than Claude Opus 4.6 (medium).

Detailed comparison

Metric Claude Opus 4.6 Claude Opus 4.6 medium Release: 2026-02-05 GPT-5.6 Luna GPT-5.6 Luna high Release: 2026-07-09
Score 7.7 7.6
Rank #74 #78
Reliability 10.0 10.0
Consistency 8.8 8.5
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 63.6% 69.7%
Flaky tests 3 4
Total Runs 66 66
Cost per result 22.777 6.100
Total Cost $2.961 $0.179
Input Price $5.000 / 1M $0.200 / 1M
Output Price $25.000 / 1M $1.200 / 1M
Total Input Tokens 108,573 80,927
Output Tokens 69,994 5,088
Reasoning Tokens 26,728 130,227
Response Time (avg) 32.23s 16.49s
Response Time (max) 151.51s 111.09s
Response Time (total) 515.65s 362.78s
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.

#74 Claude Opus 4.6

medium
Invalid SVG
Cost
$0.000
Time
300.0s
Tokens
0 tok

#78 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 4.6 5.7 7.1 44.4% 1 30.10s 8,522 13,057 4,121
GPT-5.6 Luna 5.5 4.7 55.6% 2 15.63s 7,302 510 17,746

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