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Gemini 3.1 Pro Preview (medium) vs Qwen3.8 Max (medium)

Gemini 3.1 Pro Preview (medium) leads on average score with 9.2 vs 9.1. Qwen3.8 Max (medium) has the lower benchmark cost at $0.728 vs $1.361. Gemini 3.1 Pro Preview (medium) is faster at 21.47s vs 21.53s, with pass rates of 90.9% vs 84.9%.

Last updated at: 2026-08-04

Rank
#9
Total Output Tokens
97,958
Response Time (avg)
21.47s
Total Cost
$1.361
Rank
#14
Total Output Tokens
84,826
Response Time (avg)
21.53s
Total Cost
$0.728
Recommended model Qwen3.8 Max (medium)

Its score stays close to the best score here (9.1 vs 9.2), while costing about 1.9x less 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 Qwen3.8 Max Qwen3.8 Max medium Release: 2026-08-04
Score 9.2 9.1
Rank #9 #14
Reliability 10.0 10.0
Consistency 10.0 9.7
Benchmark coverage 22/22 tests · 66/66 attempts 22/22 tests · 66/66 attempts
Tests Correct
Attempt pass rate 90.9% 84.9%
Flaky tests 0 1
Total Runs 66 66
Cost per result 6.801 4.040
Total Cost $1.361 $0.728
Input Price $2.000 / 1M $2.000 / 1M
Output Price $12.000 / 1M $6.000 / 1M
Total Input Tokens 92,287 109,046
Output Tokens 5,232 6,567
Reasoning Tokens 92,726 78,259
Response Time (avg) 21.47s 21.53s
Response Time (max) 88.68s 126.60s
Response Time (total) 322.08s 473.75s

Model generation showcase

Hamster playing table tennis

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

#9 Gemini 3.1 Pro Preview

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

#14 Qwen3.8 Max

medium
Cost
$0.028
Time
71.9s
Tokens
4,750 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
Qwen3.8 Max 10.0 10.0 100.0% 0 41.35s 7,893 430 23,804

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