AI search models

Which AI search model gives the most quality for the money?

JSON
Shortlistas of

As of 5 November 2026, no option is proven ahead. 6 options of 19 cannot be separated with the evidence in hand: gpt-5.6-sol-xhigh, qwen3.8-max, claude-opus-4-6-search, gpt-5.5-search, claude-fable-5.1-high and 1 more.

Options
19
Measured
19
Shortlist
6
Plotted
16
Priced
16
The job

Answer questions with live web search through a vendor's own API, and judge the model by how often people prefer its answers in blind comparisons on Arena, against what 1,000 searches cost.

Ranking

19 options measured, shortlisted rows shaded

Options ordered by score, with score interval, cost and price source
#OptionScore 0 to 100Cost per 1,000 queriesIntervalPrice page
1gpt-5.6-sol-xhighopenaiFrontierShortlist84.5$30.00ci9581.9 to 87.0
2qwen3.8-maxalibabaShortlist84.4Not pricedci9579.2 to 89.7
5claude-fable-5.1-highanthropicShortlist78.3$60.00ci9575.5 to 81.2
6claude-opus-5-highanthropicShortlist76.6$35.00ci9573.9 to 79.4
7gpt-6-astra-maxopenai73.4$60.00ci9570.3 to 76.6
8gpt-6.1-sol-maxopenaiFrontier73.2$20.00ci9569.7 to 76.8
9claude-opus-4-7anthropic72.1$35.00ci9570.1 to 74.0
10claude-fable-5-highanthropic71.7$60.00ci9569.1 to 74.3
11ernie-5.1baidu70.7Not pricedci9566.9 to 74.5
13grok-4.5xai66.4Not pricedci9564.0 to 68.7
14claude-opus-5.5-mediumanthropic65.1$30.00ci9562.3 to 67.9
15gemini-3.1-pro-groundinggoogle63.5$24.80ci9561.7 to 65.4
17gemini-3-flash-groundinggoogleFrontier58.3$16.70ci9556.6 to 60.0
19gpt-6-luna-maxopenaiFrontier43.8$10.50ci9540.9 to 46.7

Order is by score, highest first. Intervals overlap, so neighbouring ranks do not differ with certainty. Cost is in USD per 1,000 queries; bars start at zero. Interval: ci95, built from 95% confidence intervals given by the source.

Price against performance

Score against cost of 1,000 queries, log scale

Score against cost of 1,000 queries16 options plotted by cost of 1,000 queries and score. 5 are on the efficient frontier: gpt-6-luna-max, gemini-3-flash-grounding, gpt-5.1-search, gpt-6.1-sol-max, gpt-5.6-sol-xhigh. 3 are not plotted because a coordinate is unknown. The same numbers are in the ranking and the cost table.405060708090$10$20$50$100USD per 1,000 queries, log scaleScore, 0 to 100claude-fable-5-high. Score 71.7, interval 69.1 to 74.3 (ci95). Cost $60.00 per 1,000 queries.claude-opus-4-7. Score 72.1, interval 70.1 to 74.0 (ci95). Cost $35.00 per 1,000 queries.claude-opus-5.5-medium. Score 65.1, interval 62.3 to 67.9 (ci95). Cost $30.00 per 1,000 queries.claude-sonnet-4-6-search. Score 68.2, interval 66.4 to 70.0 (ci95). Cost $25.00 per 1,000 queries.claude-sonnet-5-search. Score 56.4, interval 53.9 to 58.8 (ci95). Cost $20.00 per 1,000 queries.gemini-3.1-pro-grounding. Score 63.5, interval 61.7 to 65.4 (ci95). Cost $24.80 per 1,000 queries.gpt-6-astra-max. Score 73.4, interval 70.3 to 76.6 (ci95). Cost $60.00 per 1,000 queries.claude-fable-5.1-high. Score 78.3, interval 75.5 to 81.2 (ci95). Cost $60.00 per 1,000 queries. On the shortlist.claude-opus-4-6-search. Score 80.5, interval 78.7 to 82.4 (ci95). Cost $35.00 per 1,000 queries. On the shortlist.claude-opus-5-high. Score 76.6, interval 73.9 to 79.4 (ci95). Cost $35.00 per 1,000 queries. On the shortlist.gemini-3-flash-grounding. Score 58.3, interval 56.6 to 60.0 (ci95). Cost $16.70 per 1,000 queries. On the frontier.gpt-5.1-search. Score 59.9, interval 57.8 to 62.0 (ci95). Cost $17.75 per 1,000 queries. On the frontier.gpt-5.5-search. Score 78.6, interval 76.7 to 80.6 (ci95). Cost $37.00 per 1,000 queries. On the shortlist.gpt-5.6-sol-xhigh. Score 84.5, interval 81.9 to 87.0 (ci95). Cost $30.00 per 1,000 queries. On the frontier. On the shortlist.gpt-6.1-sol-max. Score 73.2, interval 69.7 to 76.8 (ci95). Cost $20.00 per 1,000 queries. On the frontier.gpt-6-luna-max. Score 43.8, interval 40.9 to 46.7 (ci95). Cost $10.50 per 1,000 queries. On the frontier.gpt-6-luna-maxgpt-5.1-searchgpt-6.1-sol-maxgpt-5.6-sol-xhighclaude-opus-4-6-searchclaude-opus-5-high
  • Frontier: no other option is both cheaper and scores higher
  • Other option
  • Ring: on the shortlist, not separable with certainty
  • Line: score interval, ci95 (built from 95% confidence intervals given by the source)
16 plotted. Better is up and to the left. The frontier is where nothing else is both cheaper and higher; it is not a recommendation.
3 options not plotted: a coordinate is unknown
  • ernie-5.1: Cost unknown
  • grok-4.5: Cost unknown
  • qwen3.8-max: Cost unknown

Cost for this job

Date read and source for all 19 options

Cost of 1,000 queries, in USD per 1,000 queries, cheapest first within each group.

Workload and assumptions

Cost of 1,000 queries. Each query makes one search, sends 3,000 input tokens (the question and the retrieved content) and returns 400 output tokens. The cost is the search fee per 1,000 plus the tokens at the model's list price. Free monthly search allowances, caching and the extra searches an agent may run are not counted. The search fees of xAI and the other vendors without a read price are unknown, so those models have unknown cost.

Cost for this job, by option, with date read and source
OptionCostPrice readSourceNotes
Cost 16
gpt-6-luna-maxopenai
$10.50
0 days old
gemini-3-flash-groundinggoogle
$16.70
0 days old
gpt-6.1-sol-maxopenai
$20.00
0 days old
gemini-3.1-pro-groundinggoogle
$24.80
0 days old
claude-opus-5.5-mediumanthropic
$30.00
0 days old
gpt-5.6-sol-xhighopenai
$30.00
0 days old
claude-opus-4-7anthropic
$35.00
0 days old
claude-opus-5-highanthropic
$35.00
0 days old
claude-fable-5.1-highanthropic
$60.00
0 days old
claude-fable-5-highanthropic
$60.00
0 days old
gpt-6-astra-maxopenai
$60.00
0 days old
No cost available 3
ernie-5.1baidu
Unknown
Not read
No source
1 note
  • No price in the source for this option.
grok-4.5xai
Unknown
Not read
No source
1 note
  • No price in the source for this option.
qwen3.8-maxalibaba
Unknown
Not read
No source
1 note
  • No price in the source for this option.

What evidence would settle it

The three conditions and what is missing
  • claude-fable-5.1-high: another independent origin or repeats (interval 5.6 points wide), metric Arena search rating (Elo-style, overall category).
  • claude-opus-4-6-search: another independent origin or repeats (interval 3.6 points wide), metric Arena search rating (Elo-style, overall category).
  • claude-opus-5-high: another independent origin or repeats (interval 5.5 points wide), metric Arena search rating (Elo-style, overall category).
  • gpt-5.5-search: another independent origin or repeats (interval 3.9 points wide), metric Arena search rating (Elo-style, overall category).
  • gpt-5.6-sol-xhigh: another independent origin or repeats (interval 5.0 points wide), metric Arena search rating (Elo-style, overall category).
  • qwen3.8-max: another independent origin or repeats (interval 10.5 points wide), metric Arena search rating (Elo-style, overall category).

The three conditions for naming a best option

  1. The leader's lower bound must exceed every other option's upper bound by at least 3 points. Not met: the closest gap is -7.8 points (gpt-5.6-sol-xhigh against qwen3.8-max).
  2. Every critical metric must come from two independent origins, or from one auditable test of our own. Not met: 1 origin and no auditable own test for gpt-5.6-sol-xhigh.
  3. The price must be verified within 30 days. Met: read 0 days before this date.

Sources and limits

4 sources, the method notes and this board as JSON

Scores on this board come from Arena Leaderboard Dataset (lmarena-ai/leaderboard-dataset). We rescale them to a 0 to 100 scale against fixed anchors (Arena search rating (Elo-style, overall category): 1050 counts as 0 and 1300 counts as 100), so a new option never moves another option's score. The licence and our changes are stated in the data credit at the foot of this page.

Notes on this board. Only one origin (Arena) measures quality, so no board entry can be named Best until a second independent origin or an own test exists. Arena's rating comes from blind votes by its own users on their own prompts; it is not a test of your job. Prices are read from each vendor's own API price page and are list prices for the stated workload; a model whose price could not be read on the vendor's page is listed with unknown cost and is not plotted. Selection: the 15 models with the highest Arena rank in the overall category, plus every model ranked 16 to 42 whose price was read on vendor pages and whose output price is at most $10 per million tokens.

Scores are on a 0 to 100 scale against editorial anchors that are not yet validated. Prices are for the workload above and change without notice. Evidence older than 60 days is left out, and prices older than 30 days are flagged.

This board as JSON, with every input id, anchor and weight.

Data credits

Arena data: Arena (lmarena-ai), dataset lmarena-ai/leaderboard-dataset, https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset, licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Changes by Inadviser: the Arena scores (the Agent Arena IPS score and the text, text-to-image, text-to-video and search ratings) are rescaled to a 0-100 utility against fixed anchors set by Inadviser; the confidence interval and the observation or vote count are carried over; only a selection of models is shown on each board; where a board shows Arena's cost per task, it is shown unchanged. The dataset maintainers' method applies (https://arena.ai/blog/agent-arena-methodology/ for Agent Arena). Arena does not endorse Inadviser.