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Claude Opus 5.5 (low) vs GPT-6.1 Sol (max)

GPT-6.1 Sol (max) leads on average score with 9.9 vs 9.3. GPT-6.1 Sol (max) has the lower benchmark cost at $0.740 vs $0.952. Claude Opus 5.5 (low) is faster at 23.72s vs 61.16s, with pass rates of 87.9% vs 95.5%.

Last updated at: 2026-09-29

Compared models

Rank
#25
Total Output Tokens
21,004
Response Time (avg)
23.72s
Total Cost
$0.952
Rank
#4
Total Output Tokens
58,145
Response Time (avg)
61.16s
Total Cost
$0.740
Recommended model GPT-6.1 Sol (max)

It has the strongest score in this comparison (9.9) and the best overall balance of cost and response time across all 2 models.

Detailed comparison

Metric Claude Opus 5.5 Claude Opus 5.5 low Release: 2026-09-23 GPT-6.1 Sol GPT-6.1 Sol max Release: 2026-09-29
Score 9.3 9.9
Rank #25 #4
Reliability 10.0 9.6
Consistency 9.3 10.0
Attempts 66/66 66/66
Tests Correct
Attempt pass rate 87.9% 95.5%
Flaky tests 2 0
Total Runs 66 66
Cost per result 5.284 3.523
Total Cost $0.952 $0.740
Input Price $4.000 / 1M $2.000 / 1M
Output Price $20.000 / 1M $10.000 / 1M
Total Input Tokens 132,746 79,136
Output Tokens 6,454 4,913
Reasoning Tokens 14,550 53,232
Response Time (avg) 23.72s 61.16s
Response Time (max) 89.16s 960.01s
Response Time (total) 521.82s 1345.41s
Parameters ~5T total (~500B 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.

#25 Claude Opus 5.5

low
Invalid SVG
Cost
$0.038
Time
19.1s
Tokens
2,010 tok

#4 GPT-6.1 Sol

max
Cost
$0.272
Time
584.0s
Tokens
27,273 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
Claude Opus 5.5 10.0 10.0 100.0% 0 12.23s 10,608 575 2,777
GPT-6.1 Sol 10.0 10.0 100.0% 0 13.57s 7,302 398 7,668

Quick Compare

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