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Gemini 3.5 Flash (high) vs GPT-5 Mini (medium)

GPT-5 Mini (medium) leads on average score with 8.4 vs 8.3. GPT-5 Mini (medium) has the lower benchmark cost at $0.293 vs $2.737. Gemini 3.5 Flash (high) is faster at 18.59s vs 29.42s, with pass rates of 85.5% vs 66.7%.

Last updated at: 2026-10-01

Compared models

Rank
#77
Total Output Tokens
246,012
Response Time (avg)
18.59s
Total Cost
$2.737
Rank
#69
Total Output Tokens
119,211
Response Time (avg)
29.42s
Total Cost
$0.293
Recommended model Gemini 3.5 Flash (high)

Its score stays close to the best score here (8.3 vs 8.4), while responding about 1.6x faster than GPT-5 Mini (medium).

Detailed comparison

Metric Gemini 3.5 Flash Gemini 3.5 Flash high Release: 2026-05-19 GPT-5 Mini GPT-5 Mini medium Release: 2025-08-07
Score 8.3 8.4
Rank #77 #69
Reliability 10.0 10.0
Consistency 9.3 8.5
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 85.5% 66.7%
Flaky tests 2 4
Total Runs 69 69
Cost per result 14.402 2.247
Total Cost $2.737 $0.293
Input Price $1.500 / 1M $0.250 / 1M
Output Price $9.000 / 1M $2.000 / 1M
Total Input Tokens 348,103 214,645
Output Tokens 11,045 15,532
Reasoning Tokens 234,967 103,679
Response Time (avg) 18.59s 29.42s
Response Time (max) 145.92s 111.48s
Response Time (total) 427.52s 676.56s
Parameters ~500B total (~20B 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.

#77 Gemini 3.5 Flash

high
Cost
$0.208
Time
118.2s
Tokens
23,158 tok

#69 GPT-5 Mini

medium
Cost
$0.007
Time
42.9s
Tokens
3,432 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 3.5 Flash 10.0 10.0 100.0% 0 22.96s 8,118 456 47,129
GPT-5 Mini 10.0 10.0 100.0% 0 27.63s 7,302 658 17,152

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