← Web Search LLM Leaderboard

GPT-6.1 Sol

OpenAI · closed weights · data as of

GPT-6.1 Sol ranks 2 of 10 on the Web Search LLM Leaderboard, across 4,703 questions from BrowseComp, DeepSearchQA, HLE and Firecrawl Search Bench. It shares that rank with Kimi K3.1 Pro and Pareto 26.9.

Score with Firecrawl Alexandria77.9
+45.6 points of lift, from 32.3 without
050100
Without With Firecrawl Alexandria

GPT-6.1 Sol on each question set

Points out of 100. Rank is among the 10 models on that set, by score with Firecrawl Alexandria; vs median is the gap to the median model there. Firecrawl Search Bench is our own question set; its questions are not published.

Question setWithoutWithLiftRankvs median
BrowseComp26.674.5+47.9#3+18.1
DeepSearchQA37.584.1+46.6#4+3.9
HLE49.556.9+7.4#2+8.9
Firecrawl Search Bench15.796.2+80.5#1+2.3

Cost and speed

$208 per 1,000 questions, model tokens plus Firecrawl credits: 0.9× the median model, 5th cheapest of 10.

Time per question
134 s
average, 3rd fastest of 10
Median time
66 s
set-weighted, half take longer
90th percentile time
357 s
set-weighted, 1 in 10 take longer
Failed
<0.1%
of questions, scored 0

GPT-6.1 Sol vs its closest rivals

  • Kimi K3.1 Pro scores 77.4, within the margin of error. It costs 2.5× as much and takes 386 s per question on average.
  • Pareto 26.9 scores 77.1, within the margin of error. It costs 3.2× as much and takes 328 s per question on average.
  • Claude Opus 5.5 scores 79.0, clearly ahead. It costs 1.8× as much and takes 126 s per question on average.
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