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Claude Opus 4.8 (low) vs GPT-5.6 Luna (high)

Claude Opus 4.8 (low) leads on average score with 7.8 vs 7.6. GPT-5.6 Luna (high) has the lower benchmark cost at $0.179 vs $2.089. Claude Opus 4.8 (low) is faster at 12.88s vs 16.49s, with pass rates of 80.3% vs 69.7%.

Last updated at: 2026-08-20

Rank
#70
Total Output Tokens
52,237
Response Time (avg)
12.88s
Total Cost
$2.089
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 7.8), while costing about 11.7x less than Claude Opus 4.8 (low).

Detailed comparison

Metric Claude Opus 4.8 Claude Opus 4.8 low Release: 2026-05-28 GPT-5.6 Luna GPT-5.6 Luna high Release: 2026-07-09
Score 7.8 7.6
Rank #70 #78
Reliability 10.0 10.0
Consistency 8.9 8.5
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 80.3% 69.7%
Flaky tests 3 4
Total Runs 66 66
Cost per result 13.054 6.100
Total Cost $2.089 $0.179
Input Price $5.000 / 1M $0.200 / 1M
Output Price $25.000 / 1M $1.200 / 1M
Total Input Tokens 156,522 80,927
Output Tokens 43,056 5,088
Reasoning Tokens 9,181 130,227
Response Time (avg) 12.88s 16.49s
Response Time (max) 127.97s 111.09s
Response Time (total) 283.32s 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.

#70 Claude Opus 4.8

low
Cost
$0.031
Time
14.1s
Tokens
1,345 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 4.8 6.6 4.6 77.8% 2 7.58s 10,590 3,637 809
GPT-5.6 Luna 5.5 4.7 55.6% 2 15.63s 7,302 510 17,746

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