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Gemini 3.1 Pro Preview (medium) vs GPT-6 Astra (medium)

GPT-6 Astra (medium) leads on average score with 9.4 vs 9.2. Gemini 3.1 Pro Preview (medium) has the lower benchmark cost at $1.352 vs $1.774. GPT-6 Astra (medium) is faster at 8.08s vs 20.62s, with pass rates of 90.9% vs 90.9%.

Last updated at: 2026-09-04

Rank
#18
Total Output Tokens
97,238
Response Time (avg)
20.62s
Total Cost
$1.352
Rank
#14
Total Output Tokens
19,627
Response Time (avg)
8.08s
Total Cost
$1.774
Recommended model GPT-6 Astra (medium)

It has the best score here (9.4), while responding about 2.6x faster than Gemini 3.1 Pro Preview (medium).

Detailed comparison

Metric Gemini 3.1 Pro Preview Gemini 3.1 Pro Preview medium Release: 2026-02-19 GPT-6 Astra GPT-6 Astra medium Release: 2026-09-04
Score 9.2 9.4
Rank #18 #14
Reliability 10.0 9.9
Consistency 10.0 9.2
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 90.9% 90.9%
Flaky tests 0 2
Total Runs 66 66
Cost per result 6.758 9.337
Total Cost $1.352 $1.774
Input Price $2.000 / 1M $10.000 / 1M
Output Price $12.000 / 1M $50.000 / 1M
Total Input Tokens 92,296 79,264
Output Tokens 5,232 4,789
Reasoning Tokens 92,006 14,838
Response Time (avg) 20.62s 8.08s
Response Time (max) 88.68s 73.48s
Response Time (total) 329.94s 177.70s
Parameters ~1.2T total (~20B active) ~2T total (~150B active)
Availability Closed Closed

Model generation showcase

Hamster playing table tennis

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

#18 Gemini 3.1 Pro Preview

medium
Cost
$0.115
Time
87.2s
Tokens
9,629 tok

#14 GPT-6 Astra

medium
Cost
$0.231
Time
81.0s
Tokens
4,708 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 Pro Preview 7.9 9.9 66.7% 0 40.17s 8,124 435 41,247
GPT-6 Astra 10.0 10.0 100.0% 0 4.95s 7,302 394 1,673

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