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

GPT-5.6 Luna (high) leads on average score with 8.0 vs 6.3. GPT-5.6 Luna (high) has the lower benchmark cost at $0.118 vs $2.961. GPT-5.6 Luna (high) is faster at 18.39s vs 32.23s, with pass rates of 60.9% vs 71.0%.

Last updated at: 2026-10-19

Compared models

Rank
#261
Total Output Tokens
96,722
Response Time (avg)
32.23s
Total Cost
$2.961
Rank
#110
Total Output Tokens
139,395
Response Time (avg)
18.39s
Total Cost
$0.118
Recommended model GPT-5.6 Luna (high)

It has the best score here (8.0), while costing about 25.2x 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 6.3 8.0
Rank #261 #110
Reliability 10.0 10.0
Consistency 8.5 8.6
Attempts 66/69 69/69
Tests Correct
Attempt pass rate 60.9% 71.0%
Flaky tests 3 4
Total Runs 66 69
Cost per result 22.777 5.882
Total Cost $2.961 $0.118
Input Price $5.000 / 1M $0.200 / 1M
Output Price $25.000 / 1M $1.200 / 1M
Cache Read Price $0.500 / 1M $0.020 / 1M
Cache Write Price $6.250 / 1M $0.250 / 1M
Total Input Tokens 108,573 197,896
Output Tokens 69,994 6,211
Reasoning Tokens 26,728 133,184
Response Time (avg) 32.23s 18.39s
Response Time (max) 151.51s 111.09s
Response Time (total) 515.65s 422.93s
Parameters ~5T total (~500B active) ~400B total (~17B active)
Availability Closed Closed

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Model generation showcase

Hamster playing table tennis

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

#261 Claude Opus 4.6

medium
Reached the allocated time limit (300 seconds) without receiving showcase output.
Cost
$0.000
Time
300.0s
Tokens
0 tok

#110 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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