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Granite 4.2 8B (low) vs GPT-5.6 Luna

The average score is effectively tied at 5.3 vs 5.3. Granite 4.2 8B (low) has the lower benchmark cost at $0.036 vs $0.056. GPT-5.6 Luna is faster at 3.78s vs 58.20s, with pass rates of 33.3% vs 34.8%.

Last updated at: 2026-10-01

Compared models

Rank
#280
Total Output Tokens
61,351
Response Time (avg)
58.20s
Total Cost
$0.036
Rank
#279
Total Output Tokens
8,000
Response Time (avg)
3.78s
Total Cost
$0.056
Recommended model GPT-5.6 Luna

It has the best score here (5.3), while responding about 15.4x faster than Granite 4.2 8B (low).

Detailed comparison

Metric Granite 4.2 8B Granite 4.2 8B low Release: 2026-09-02 GPT-5.6 Luna GPT-5.6 Luna none Release: 2026-07-09
Score 5.3 5.3
Rank #280 #279
Reliability 9.2 10.0
Consistency 9.7 8.8
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 33.3% 34.8%
Flaky tests 1 3
Total Runs 69 69
Cost per result 0.508 2.814
Total Cost $0.036 $0.056
Input Price $0.060 / 1M $0.200 / 1M
Output Price $0.250 / 1M $1.200 / 1M
Total Input Tokens 332,917 230,744
Output Tokens 18,989 8,000
Reasoning Tokens 42,362 0
Response Time (avg) 58.20s 3.78s
Response Time (max) 566.80s 53.77s
Response Time (total) 1338.65s 86.83s
Parameters 8B ~400B total (~17B active)
Availability Open source Closed

Model generation showcase

Hamster playing table tennis

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

#280 IBM: Granite 4.2 8B

low
Provider returned error
Cost
$0.000
Time
0.2s
Tokens
0 tok

#279 GPT-5.6 Luna

none
Cost
$0.016
Time
15.8s
Tokens
2,685 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
Granite 4.2 8B 5.5 10.0 33.3% 0 13.01s 8,439 2,469 2,984
GPT-5.6 Luna 3.8 7.2 22.2% 1 980ms 7,302 459 0

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