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

TinyFish vs Parallel: web search API comparison

TinyFish 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.

TinyFish or Parallel — winner per task

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

TaskTinyFishParallelMeasured winner
Factual lookup (accuracy)92.0%93.3%Parallel
Hard retrieval (task completion, search+fetch)79.0%77.0%TinyFish
Multi-hop (F1, search-only)26.6%46.5%Parallel

TinyFish and Parallel on company-news lookup

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

AxisTinyFishParallelMeasured winner
Accuracy (extracted-answer)92.0%93.3%Parallel
Answer recall (AR@5)90.7%92.0%Parallel
Speed (mean latency)2.62s348msParallel
Cost per 1,000 queries (list price)$0$1.00TinyFish
TinyFish vs Parallel factual lookup endpoints
RankVendorEndpoint & configuration$ / 1k correctAccuracyAR@1AR@5LatencySnippet tokensTotal $Official docsCost per 1,000 queries
1TinyFishweb searchGET api.search.tinyfish.aifree · 30 req/min capFree30 req/min cap92.0%74.3%90.7%2.62s441FreeOfficial docs$0free · 30 req/min, 500/hour
2Parallelweb searchPOST /v1/searchmode=fast$1.1686.0%44.3%79.0%942ms1,839$0.30Official docs$1 / 1kmode=fast · 10 results
3Parallelweb searchPOST /v1/searchmode=turbo$1.4071.3%45.3%66.0%348ms1,853$0.30Official docs$1 / 1kmode=turbo · 10 results
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.

TinyFish 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 →

TinyFish leads at 79.0%. Median task time: TinyFish 24s vs Parallel 30s.

[03.a]search & fetch
TinyFish vs Parallel search & fetch coding-agent board
RankVendorEndpoint & configurationTask completionMedian task timeMedian task costAvg search timeMedian task tokensAPI list price
1TinyFishGET api.search.tinyfish.aiGET api.fetch.tinyfish.ai format=markdown79.0 ± 2.024s$0.050$0.000 search+fetch$0.050 token cost1.32s12,844$0 / search$0 / 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
TinyFish vs Parallel search-only coding-agent board
RankVendorEndpoint & configurationTask completionMedian task timeMedian task costAvg search timeMedian task tokensAPI list price
1TinyFishGET api.search.tinyfish.ai59.3 ± 1.528s$0.035$0.000 search$0.035 token cost2.15s7,469$0 / 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

TinyFish 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 46.5%. Median agent time: TinyFish 64.24s vs Parallel 46.40s. Median task cost: TinyFish $0.212 vs Parallel $0.419.

[04.a]search only
TinyFish vs Parallel search-only multi-turn board
ProviderEndpoint & configurationF1PrecisionRecallExact setMedian timeMean turnsMedian task costAPI list price
TinyFishGET api.search.tinyfish.aitinyfish26.6 ± 1.364.7 ± 1.517.9 ± 0.81.5 ± 1.364.2 s7.9$0.212$0.000 search$0.212 token cost$0 / search
Parallel basicPOST /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
Parallel advancedPOST /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
Parallel fastPOST /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
Parallel turboPOST /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

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
TinyFish vs Parallel search+fetch multi-turn board
ProviderEndpoint & configurationF1PrecisionRecallExact setMedian timeMean turnsMedian task costAPI list price
TinyFishGET api.search.tinyfish.aitinyfish30.2 ± 3.570.9 ± 11.320.9 ± 2.50.0 ± 0.063.4 s7.9$0.219$0.000 search+fetch$0.219 token cost$0 / search$0 / fetch
Parallel basicPOST /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
Parallel advancedPOST /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
Parallel fastPOST /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
Parallel turboPOST /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

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.

TinyFish vs Parallel — common questions

TinyFish vs Parallel: which web search API is better?

Factual lookup: Parallel leads accuracy (TinyFish 92.0% vs Parallel 93.3%). Hard retrieval: TinyFish leads task completion (TinyFish 79.0% vs Parallel 77.0%). Multi-hop: Parallel leads F1 (TinyFish 26.6% vs Parallel 46.5%).

Is TinyFish or Parallel cheaper?

On factual lookup list price: TinyFish $0 per 1,000 queries vs Parallel $1.00 — TinyFish is cheaper. Coding token efficiency is median task tokens; multi-hop cheapest is cost per agent run. Free tiers and volume discounts excluded.