benchmarks/web-search/perplexity vs parallel
web search API · three tasks · 2026

Perplexity vs Parallel: web search API comparison

Perplexity and Parallel measured on the same three jobs: factual lookup, hard retrieval for coding agents, and multi-hop company search. Winner per task is in the table below.

Perplexity or Parallel — winner per task

Best measured endpoint per vendor on each task. Modes stay separate rows in the tables below.

TaskPerplexityParallelMeasured winner
Factual lookup (accuracy)97.3%93.3%Perplexity
Hard retrieval (task completion, search+fetch)77.7%77.0%Perplexity
Multi-hop (F1, search-only)38.4%45.8%Parallel

Perplexity and Parallel on company-news lookup

One query, one verifiable fact. 300 questions, max 10 results. Full factual lookup board →

AxisPerplexityParallelMeasured winner
Accuracy (extracted-answer)97.3%93.3%Perplexity
Answer recall (AR@5)98.3%92.0%Perplexity
Speed (mean latency)1.38s348msParallel
Cost per 1,000 queries (list price)$5.00$1.00Parallel
Perplexity vs Parallel factual lookup endpoints
RankVendorEndpoint & configuration$ / 1k correctAccuracyAR@1AR@5LatencySnippet tokensTotal $Official docsCost per 1,000 queries
1Parallelweb searchPOST /v1/searchmode=fast$1.1686.0%44.3%79.0%942ms1,839$0.30Official docs$1 / 1kmode=fast · 10 results
2Parallelweb searchPOST /v1/searchmode=turbo$1.4071.3%45.3%66.0%348ms1,853$0.30Official docs$1 / 1kmode=turbo · 10 results
3Perplexityweb searchPOST /searchsearch_context_size=low$5.1497.3%91.7%98.3%1.38s476$1.50Official docs$5 / 1kSearch API · POST /search
4Parallelweb searchPOST /v1/searchmode=basic$5.3693.3%55.0%92.0%1.68s2,330$1.50Official docs$5 / 1kmode=basic · 10 results

$ / 1k correct is $ / 1k queries divided by extracted-answer accuracy. Ranked by $ / 1k correct. Cost per 1,000 queries is the published PAYG list price, linked to the vendor pricing page. Not promotional packs or volume discounts. TinyFish Search is free with a 30 requests/min cap — $0 is not unlimited throughput.

Perplexity and Parallel on coding-agent docs

Grounded task completion on 100 documentation tickets. A pass needs a # source: URL from that run. Full coding-agent board →

Perplexity leads at 77.7%. Median task time: Perplexity 22s vs Parallel 30s.

[03.a]search & fetch
Perplexity vs Parallel search & fetch coding-agent board
RankVendorEndpoint & configurationTask completionMedian task timeMedian task costAvg search timeMedian task tokensAPI list price
1PerplexityPOST /search search_context_size=highPOST /search search_context_size=high77.7 ± 1.522s$0.083$0.025 search+fetch$0.058 token cost991ms20,062$0.005 / search$0.005 / fetch
2Parallel advancedPOST /v1/search mode=advancedPOST /v1/extract77.0 ± 1.033s$0.096$0.019 search+fetch$0.077 token cost3.11s27,092$0.005 / search$0.001 / fetch
3Parallel basicPOST /v1/search mode=basicPOST /v1/extract76.0 ± 0.030s$0.107$0.023 search+fetch$0.084 token cost1.59s32,809$0.005 / search$0.001 / fetch
[03.b]search only
Perplexity vs Parallel search-only coding-agent board
RankVendorEndpoint & configurationTask completionMedian task timeMedian task costAvg search timeMedian task tokensAPI list price
1PerplexityPOST /search search_context_size=low77.3 ± 2.118s$0.059$0.025 search$0.034 token cost957ms8,765$0.005 / search
2Parallel fastPOST /v1/search mode=fast66.7 ± 1.522s$0.054$0.005 search$0.049 token cost953ms12,460$0.001 / search
3Parallel turboPOST /v1/search mode=turbo64.7 ± 2.119s$0.059$0.005 search$0.054 token cost333ms14,130$0.001 / search

Perplexity and Parallel on multi-turn company search

45 questions, each with three or four constraints. Scored on precision, recall, F1, and exact-set. Full multi-turn board →

Parallel leads F1 at 45.8%. Median agent time: Perplexity 48.87s vs Parallel 45.29s. Median task cost: Perplexity $0.334 vs Parallel $0.412.

[04.a]search only
Perplexity vs Parallel search-only multi-turn board
ProviderEndpoint & configurationF1PrecisionRecallExact setMedian timeMean turnsMedian task costAPI list price
PerplexityPOST /searchsearch_context_size=low38.4 ± 1.879.5 ± 4.927.4 ± 1.02.3 ± 2.148.9 s7.7$0.334$0.070 search$0.264 token cost$0.005 / search
Parallel advancedPOST /v1/search mode=advancedparallel-advanced45.8 ± 3.087.7 ± 6.633.5 ± 3.21.8 ± 3.082.3 s7.3$0.651$0.070 search$0.581 token cost$0.005 / search
Parallel basicPOST /v1/search mode=basicparallel-basic45.3 ± 2.288.3 ± 0.833.1 ± 2.22.5 ± 1.667.6 s7.4$1.104$0.070 search$1.034 token cost$0.005 / search
Parallel fastPOST /v1/search mode=fastparallel-fast36.9 ± 5.977.9 ± 4.627.1 ± 4.81.6 ± 2.252.6 s7.4$0.434$0.014 search$0.420 token cost$0.001 / search
Parallel turboPOST /v1/search mode=turboparallel-turbo36.7 ± 4.583.3 ± 9.126.7 ± 3.53.0 ± 2.745.3 s7.7$0.412$0.014 search$0.398 token cost$0.001 / search

F1, precision, recall, and exact-set accuracy are percentages reported as mean ± sample SD across three independent runs; each run aggregates all 45 questions. SD is measured in percentage points. Median time is the median end-to-end time across all runs for each vendor. Median task cost is the median of LLM $ plus search/fetch API $ per agent run. API list price is the PAYG unit rate of the search (and fetch) endpoint the harness calls.

[04.b]search + fetch
Perplexity vs Parallel search+fetch multi-turn board
ProviderEndpoint & configurationF1PrecisionRecallExact setMedian timeMean turnsMedian task costAPI list price
PerplexityPOST /searchsearch_context_size=high48.1 ± 3.788.0 ± 4.235.9 ± 3.52.4 ± 2.154.0 s7.4$0.496$0.070 search+fetch$0.429 token cost$0.005 / search
Parallel basicPOST /v1/search mode=basicparallel-basic43.5 ± 1.784.4 ± 3.932.5 ± 1.13.1 ± 2.669.5 s7.6$1.089$0.065 search+fetch$1.033 token cost$0.005 / search$0.001 / fetch
Parallel fastPOST /v1/search mode=fastparallel-fast42.5 ± 3.086.5 ± 2.531.1 ± 3.12.9 ± 2.653.7 s7.5$0.437$0.013 search+fetch$0.423 token cost$0.001 / search$0.001 / fetch
Parallel advancedPOST /v1/search mode=advancedparallel-advanced39.7 ± 3.486.0 ± 9.127.5 ± 2.22.0 ± 4.884.1 s7.5$0.633$0.062 search+fetch$0.572 token cost$0.005 / search$0.001 / fetch
Parallel turboPOST /v1/search mode=turboparallel-turbo33.4 ± 10.484.3 ± 16.023.3 ± 7.90.0 ± 0.048.5 s7.8$0.403$0.013 search+fetch$0.390 token cost$0.001 / search$0.001 / fetch

F1, precision, recall, and exact-set accuracy are percentages reported as mean ± sample SD across three independent runs; each run aggregates all 45 questions. SD is measured in percentage points. Median time is the median end-to-end time across all runs for each vendor. Median task cost is the median of LLM $ plus search/fetch API $ per agent run. API list price is the PAYG unit rate of the search (and fetch) endpoint the harness calls.

Perplexity vs Parallel — common questions

Perplexity vs Parallel: which web search API is better?

Factual lookup: Perplexity leads accuracy (Perplexity 97.3% vs Parallel 93.3%). Hard retrieval: Perplexity leads task completion (Perplexity 77.7% vs Parallel 77.0%). Multi-hop: Parallel leads F1 (Perplexity 38.4% vs Parallel 45.8%).

Is Perplexity or Parallel cheaper?

On factual lookup list price: Perplexity $5.00 per 1,000 queries vs Parallel $1.00 — Parallel is cheaper. Coding token efficiency is median task tokens; multi-hop cheapest is cost per agent run. Free tiers and volume discounts excluded.