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

Parallel vs Exa: web search API comparison

Parallel and Exa 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.

Parallel or Exa — winner per task

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

TaskParallelExaMeasured winner
Factual lookup (accuracy)93.3%99.3%Exa
Hard retrieval (task completion, search+fetch)77.0%83.0%Exa
Multi-hop (F1, search-only)46.5%45.4%Parallel

Parallel and Exa on company-news lookup

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

AxisParallelExaMeasured winner
Accuracy (extracted-answer)93.3%99.3%Exa
Answer recall (AR@5)92.0%99.3%Exa
Speed (mean latency)348ms398msParallel
Cost per 1,000 queries (list price)$1.00$7.00Parallel
Parallel vs Exa factual lookup endpoints
RankVendorEndpoint & configuration$ / 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
3Parallelweb searchPOST /v1/searchmode=basic$5.3693.3%55.0%92.0%1.68s2,330$1.50Official docs$5 / 1kmode=basic · 10 results
4Exaweb searchPOST /searchtype=fast$7.0599.3%95.0%99.3%652ms1,987$2.10Official docs$7 / 1ktype=fast · up to 10 results
5Exaweb searchPOST /searchtype=instant$7.1797.7%80.0%97.3%398ms2,128$2.10Official docs$7 / 1ktype=instant · up to 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.

Parallel and Exa on coding-agent docs

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

Exa leads at 83.0%. Median task time: Parallel 30s vs Exa 23s.

[03.a]search & fetch
Parallel vs Exa search & fetch coding-agent board
RankVendorEndpoint & configurationTask completionMedian task timeMedian task costAvg search timeMedian task tokensAPI list price
1Parallel 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
2Parallel 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
3Exa deepPOST /search type=deepPOST /contents83.0 ± 1.037s$0.127$0.057 search+fetch$0.070 token cost3.97s23,660$0.012 / search$0.001 / fetch
4Exa autoPOST /search type=autoPOST /contents81.7 ± 1.123s$0.107$0.032 search+fetch$0.074 token cost1.19s27,433$0.007 / search$0.001 / fetch
[03.b]search only
Parallel vs Exa search-only coding-agent board
RankVendorEndpoint & configurationTask completionMedian task timeMedian task costAvg search timeMedian task tokensAPI list price
1Parallel fastPOST /v1/search mode=fast66.7 ± 1.522s$0.054$0.005 search$0.049 token cost953ms12,460$0.001 / search
2Parallel turboPOST /v1/search mode=turbo64.7 ± 2.119s$0.059$0.005 search$0.054 token cost333ms14,130$0.001 / search
3Exa fastPOST /search type=fast66.3 ± 1.520s$0.103$0.035 search$0.068 token cost626ms22,344$0.007 / search
4Exa instantPOST /search type=instant61.3 ± 2.921s$0.105$0.035 search$0.070 token cost447ms22,423$0.007 / search

Parallel and Exa 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 46.5%. Median agent time: Parallel 46.40s vs Exa 49.83s. Median task cost: Parallel $0.419 vs Exa $0.652.

[04.a]search only
Parallel vs Exa search-only multi-turn board
ProviderEndpoint & configurationF1PrecisionRecallExact setMedian timeMean turnsMedian task costAPI list price
ParallelPOST /v1/search mode=basicparallel-basic46.5 ± 1.988.7 ± 0.934.4 ± 2.03.7 ± 2.667.6 s7.4$1.120$0.070 search$1.050 token cost$0.005 / search
ParallelPOST /v1/search mode=advancedparallel-advanced44.2 ± 1.487.6 ± 3.432.0 ± 1.62.2 ± 0.083.4 s7.3$0.625$0.070 search$0.565 token cost$0.005 / search
ParallelPOST /v1/search mode=fastparallel-fast38.0 ± 2.079.9 ± 4.627.5 ± 1.41.5 ± 1.353.9 s7.6$0.460$0.014 search$0.447 token cost$0.001 / search
ParallelPOST /v1/search mode=turboparallel-turbo34.7 ± 2.480.0 ± 5.224.8 ± 2.41.5 ± 1.346.4 s7.6$0.419$0.014 search$0.405 token cost$0.001 / search
ExaPOST /search type=deepexa-deep45.4 ± 2.083.2 ± 3.033.7 ± 1.41.5 ± 1.389.5 s7.4$0.717$0.156 search$0.556 token cost$0.012 / search
ExaPOST /search type=instantexa-instant43.3 ± 1.082.6 ± 3.832.2 ± 0.53.0 ± 1.349.8 s7.3$0.652$0.091 search$0.559 token cost$0.007 / 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
Parallel vs Exa search+fetch multi-turn board
ProviderEndpoint & configurationF1PrecisionRecallExact setMedian timeMean turnsMedian task costAPI list price
ParallelPOST /v1/search mode=basicparallel-basic42.3 ± 1.181.3 ± 2.831.3 ± 1.13.0 ± 1.368.6 s7.5$1.089$0.061 search+fetch$1.033 token cost$0.005 / search$0.001 / fetch
ParallelPOST /v1/search mode=advancedparallel-advanced42.2 ± 1.187.6 ± 0.330.1 ± 1.12.2 ± 0.080.9 s7.4$0.599$0.061 search+fetch$0.538 token cost$0.005 / search$0.001 / fetch
ParallelPOST /v1/search mode=fastparallel-fast39.3 ± 3.382.3 ± 6.628.2 ± 2.02.2 ± 0.055.1 s7.6$0.441$0.014 search+fetch$0.427 token cost$0.001 / search$0.001 / fetch
ParallelPOST /v1/search mode=turboparallel-turbo36.0 ± 3.583.6 ± 4.025.0 ± 2.60.0 ± 0.048.1 s7.7$0.414$0.013 search+fetch$0.400 token cost$0.001 / search$0.001 / fetch
ExaPOST /search type=deepexa-deep48.2 ± 2.189.4 ± 1.236.0 ± 2.22.2 ± 2.295.8 s7.5$0.683$0.156 search+fetch$0.526 token cost$0.012 / search$0.001 / fetch
ExaPOST /search type=instantexa-instant44.9 ± 0.985.9 ± 2.533.5 ± 0.95.2 ± 1.352.5 s7.5$0.653$0.091 search+fetch$0.557 token cost$0.007 / 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.

Parallel vs Exa — common questions

Parallel vs Exa: which web search API is better?

Factual lookup: Exa leads accuracy (Parallel 93.3% vs Exa 99.3%). Hard retrieval: Exa leads task completion (Parallel 77.0% vs Exa 83.0%). Multi-hop: Parallel leads F1 (Parallel 46.5% vs Exa 45.4%).

Is Parallel or Exa cheaper?

On factual lookup list price: Parallel $1.00 per 1,000 queries vs Exa $7.00 — Parallel is cheaper. Coding token efficiency is median task tokens; multi-hop cheapest is cost per agent run. Free tiers and volume discounts excluded.