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Gemini 3.1 Pro Preview (medium) vs Qwen3.7 Max (medium)

Gemini 3.1 Pro Preview (medium) leads on average score with 9.2 vs 9.1. Qwen3.7 Max (medium) has the lower benchmark cost at $1.157 vs $1.352. Gemini 3.1 Pro Preview (medium) is faster at 20.62s vs 44.32s, with pass rates of 90.9% vs 86.4%.

Last updated at: 2026-08-15

Rank
#12
Total Output Tokens
97,238
Response Time (avg)
20.62s
Total Cost
$1.352
Rank
#17
Total Output Tokens
226,102
Response Time (avg)
44.32s
Total Cost
$1.157
Recommended model Gemini 3.1 Pro Preview (medium)

It has the best score here (9.2), while responding about 2.1x faster than Qwen3.7 Max (medium).

Detailed comparison

Metric Gemini 3.1 Pro Preview Gemini 3.1 Pro Preview medium Release: 2026-02-19 Qwen3.7 Max Qwen3.7 Max medium Release: 2026-05-22
Score 9.2 9.1
Rank #12 #17
Reliability 10.0 10.0
Consistency 10.0 9.0
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 90.9% 86.4%
Flaky tests 0 3
Total Runs 66 66
Cost per result 6.758 8.904
Total Cost $1.352 $1.157
Input Price $2.000 / 1M $1.475 / 1M
Output Price $12.000 / 1M $4.425 / 1M
Total Input Tokens 92,296 106,029
Output Tokens 5,232 5,748
Reasoning Tokens 92,006 220,354
Response Time (avg) 20.62s 44.32s
Response Time (max) 88.68s 556.06s
Response Time (total) 329.94s 975.11s
Parameters ~1.2T total (~20B active) ~1T total (~40B active)
Availability Closed Closed

Model generation showcase

Hamster playing table tennis

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

#12 Gemini 3.1 Pro Preview

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

#17 Qwen3.7 Max

medium
Cost
$0.017
Time
68.8s
Tokens
4,526 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
Qwen3.7 Max 10.0 10.0 100.0% 0 35.31s 7,893 423 34,808

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