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Mercury 2.5 (high) vs GPT-6 Luna (low)

The average score is effectively tied at 7.1 vs 7.0. GPT-6 Luna (low) has the lower benchmark cost at $0.020 vs $0.031. Mercury 2.5 (high) is faster at 4.32s vs 21.96s, with pass rates of 62.1% vs 62.1%.

Last updated at: 2026-09-23

Compared models

Rank
#156
Total Output Tokens
174,547
Response Time (avg)
4.32s
Total Cost
$0.031
Rank
#159
Total Output Tokens
22,605
Response Time (avg)
21.96s
Total Cost
$0.020
Recommended model Mercury 2.5 (high)

It has the best score here (7.1), while responding about 5.1x faster than GPT-6 Luna (low).

Detailed comparison

Metric Mercury 2.5 Mercury 2.5 high Release: 2026-09-08 GPT-6 Luna GPT-6 Luna low Release: 2026-09-23
Score 7.1 7.0
Rank #156 #159
Reliability 9.7 9.6
Consistency 8.6 8.5
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 62.1% 62.1%
Flaky tests 4 4
Total Runs 66 66
Cost per result 0.259 0.176
Total Cost $0.031 $0.020
Input Price $0.040 / 1M $0.100 / 1M
Output Price $0.150 / 1M $0.500 / 1M
Total Input Tokens 120,068 80,159
Output Tokens 3,402 4,623
Reasoning Tokens 171,145 17,982
Response Time (avg) 4.32s 21.96s
Response Time (max) 23.63s 89.37s
Response Time (total) 95.06s 483.19s
Parameters ~100B ~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.

#156 Mercury 2.5

high
Cost
$0.001
Time
3.5s
Tokens
2,447 tok

#159 GPT-6 Luna

low
Cost
$0.002
Time
19.2s
Tokens
2,598 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
Mercury 2.5 6.4 7.8 44.4% 1 6.58s 7,757 415 44,012
GPT-6 Luna 6.0 7.2 55.6% 1 15.39s 7,302 493 6,655

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