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Gemini 3.1 Flash Lite (medium) vs GPT-5.6 Luna (low)

The average score is effectively tied at 6.9 vs 6.9. GPT-5.6 Luna (low) has the lower benchmark cost at $0.075 vs $0.153. Gemini 3.1 Flash Lite (medium) is faster at 6.27s vs 6.96s, with pass rates of 59.4% vs 56.5%.

Last updated at: 2026-10-01

Compared models

Rank
#163
Total Output Tokens
63,967
Response Time (avg)
6.27s
Total Cost
$0.153
Rank
#166
Total Output Tokens
28,001
Response Time (avg)
6.96s
Total Cost
$0.075
Recommended model GPT-5.6 Luna (low)

It has the best score here (6.9), while costing about 2.1x less than Gemini 3.1 Flash Lite (medium).

Detailed comparison

Metric Gemini 3.1 Flash Lite Gemini 3.1 Flash Lite medium Release: 2026-05-08 GPT-5.6 Luna GPT-5.6 Luna low Release: 2026-07-09
Score 6.9 6.9
Rank #163 #166
Reliability 10.0 10.0
Consistency 9.2 8.3
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 59.4% 56.5%
Flaky tests 2 5
Total Runs 69 69
Cost per result 1.177 2.428
Total Cost $0.153 $0.075
Input Price $0.250 / 1M $0.200 / 1M
Output Price $1.500 / 1M $1.200 / 1M
Total Input Tokens 228,023 202,680
Output Tokens 10,779 9,230
Reasoning Tokens 53,188 18,771
Response Time (avg) 6.27s 6.96s
Response Time (max) 47.78s 45.74s
Response Time (total) 144.10s 160.19s
Parameters ~150B total (~10B 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.

#163 Gemini 3.1 Flash Lite

medium
Cost
$0.003
Time
5.3s
Tokens
1,754 tok

#166 GPT-5.6 Luna

low
Cost
$0.011
Time
10.2s
Tokens
1,897 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
Gemini 3.1 Flash Lite 5.5 10.0 33.3% 0 3.81s 8,134 459 8,978
GPT-5.6 Luna 5.5 10.0 33.3% 0 4.61s 7,302 557 3,535

Quick Compare

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