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GPT-6.1 Sol (low) vs Pareto (default)

GPT-6.1 Sol (low) leads on average score with 9.6 vs 9.1. GPT-6.1 Sol (low) has the lower benchmark cost at $0.460 vs $1.520. GPT-6.1 Sol (low) is faster at 7.15s vs 33.47s, with pass rates of 92.8% vs 87.0%.

Last updated at: 2026-10-19

Compared models

Rank
#16
Total Output Tokens
13,138
Response Time (avg)
7.15s
Total Cost
$0.460
Rank
#42
Total Output Tokens
128,144
Response Time (avg)
33.47s
Total Cost
$1.520
Recommended model GPT-6.1 Sol (low)

It has the best score here (9.6), while costing about 3.3x less than Pareto (default).

Detailed comparison

Metric GPT-6.1 Sol GPT-6.1 Sol low Release: 2026-09-29 Pareto Pareto default Release: 2026-09-18
Score 9.6 9.1
Rank #16 #42
Reliability 10.0 10.0
Consistency 9.6 9.2
Attempts 69/69 69/69
Tests Correct
Attempt pass rate 92.8% 87.0%
Flaky tests 1 2
Total Runs 69 69
Cost per result 2.187 8.000
Total Cost $0.460 $1.520
Input Price $2.000 / 1M $2.500 / 1M
Output Price $10.000 / 1M $7.500 / 1M
Cache Read Price $0.100 / 1M $0.250 / 1M
Cache Write Price $2.500 / 1M N/A
Total Input Tokens 163,900 223,559
Output Tokens 4,958 128,144
Reasoning Tokens 8,180 0
Response Time (avg) 7.15s 33.47s
Response Time (max) 46.57s 143.33s
Response Time (total) 164.47s 769.84s
Parameters ~2T total (~150B active) -
Availability Closed Closed

Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.

Model generation showcase

Hamster playing table tennis

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

#16 GPT-6.1 Sol

low
Cost
$0.028
Time
44.6s
Tokens
2,881 tok

#42 Pareto

default
Cost
$0.034
Time
170.7s
Tokens
4,581 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-6.1 Sol 10.0 10.0 100.0% 0 4.48s 7,302 388 1,286
Pareto 10.0 10.0 100.0% 0 50.12s 7,471 1,949 0

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