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GPT-6 Sol vs Qwen3.7 Flash (low)

The average score is effectively tied at 7.2 vs 7.2. Qwen3.7 Flash (low) has the lower benchmark cost at $0.043 vs $0.280. GPT-6 Sol is faster at 6.84s vs 38.05s, with pass rates of 66.7% vs 66.7%.

Last updated at: 2026-09-23

Compared models

Rank
#148
Total Output Tokens
6,696
Response Time (avg)
6.84s
Total Cost
$0.280
Rank
#150
Total Output Tokens
304,019
Response Time (avg)
38.05s
Total Cost
$0.043
Recommended model Qwen3.7 Flash (low)

It has the best score here (7.2), while costing about 6.6x less than GPT-6 Sol.

Detailed comparison

Metric GPT-6 Sol GPT-6 Sol none Release: 2026-09-23 Qwen3.7 Flash Qwen3.7 Flash low Release: 2026-07-28
Score 7.2 7.2
Rank #148 #150
Reliability 10.0 10.0
Consistency 8.5 8.0
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 66.7% 66.7%
Flaky tests 4 6
Total Runs 66 66
Cost per result 2.151 0.385
Total Cost $0.280 $0.043
Input Price $2.000 / 1M $0.030 / 1M
Output Price $10.000 / 1M $0.130 / 1M
Total Input Tokens 106,332 92,191
Output Tokens 6,696 14,286
Reasoning Tokens 0 289,733
Response Time (avg) 6.84s 38.05s
Response Time (max) 23.89s 394.54s
Response Time (total) 150.43s 837.05s
Parameters ~2T total (~150B active) ~35B total (~3B active)
Availability Closed Closed

Model generation showcase

Hamster playing table tennis

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

#148 GPT-6 Sol

none
Cost
$0.030
Time
31.9s
Tokens
3,055 tok

#150 Qwen3.7 Flash

low
Reached the allocated time limit (600 seconds) without receiving showcase output.
Cost
$0.000
Time
600.0s
Tokens
0 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
GPT-6 Sol 5.5 10.0 33.3% 0 12.23s 7,302 389 0
Qwen3.7 Flash 6.7 7.8 55.6% 1 42.36s 7,893 428 56,419

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