← Web Search LLM Leaderboard

Kimi K3.1 Pro

Moonshot AI · open weights · data as of

Kimi K3.1 Pro 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 GPT-6.1 Sol and Pareto 26.9.

Score with Firecrawl Alexandria77.4
+38.9 points of lift, from 38.5 without
050100
Without With Firecrawl Alexandria

Kimi K3.1 Pro 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
BrowseComp31.874.6+42.7#2+18.1
DeepSearchQA51.885.8+34.0#2+5.5
HLE49.654.6+5.1#3+6.6
Firecrawl Search Bench21.094.7+73.7#4+0.8

Cost and speed

$527 per 1,000 questions, model tokens plus Firecrawl credits: 2.3× the median model, 9th cheapest of 10.

Time per question
386 s
average, 8th fastest of 10
Median time
246 s
set-weighted, half take longer
90th percentile time
933 s
set-weighted, 1 in 10 take longer
Failed
2.6%
of questions, scored 0

Kimi K3.1 Pro vs its closest rivals

  • Pareto 26.9 scores 77.1, within the margin of error. It costs 1.2× as much and takes 328 s per question on average.
  • GPT-6.1 Sol scores 77.9, within the margin of error. It is 2.5× cheaper and takes 134 s per question on average.
  • Claude Opus 5.5 scores 79.0, clearly ahead. It is 1.4× cheaper and takes 126 s per question on average.
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