Tavily vs Parallel: web search API comparison
Tavily 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.
Tavily or Parallel — winner per task
Best measured endpoint per vendor on each task. Modes stay separate rows in the tables below.
| Task | Tavily | Parallel | Measured winner |
|---|---|---|---|
| Factual lookup (accuracy) | 93.0% | 93.3% | Parallel |
| Hard retrieval (task completion, search+fetch) | 60.0% | 77.0% | Parallel |
| Multi-hop (F1, search-only) | 41.1% | 46.5% | Parallel |
Tavily and Parallel on company-news lookup
One query, one verifiable fact. 300 questions, max 10 results. Full factual lookup board →
| Axis | Tavily | Parallel | Measured winner |
|---|---|---|---|
| Accuracy (extracted-answer) | 93.0% | 93.3% | Parallel |
| Answer recall (AR@5) | 92.7% | 92.0% | Tavily |
| Speed (mean latency) | 1.88s | 348ms | Parallel |
| Cost per 1,000 queries (list price) | $8.00 | $1.00 | Parallel |
| Rank | Vendor | Endpoint & configuration | $ / 1k correct | Accuracy | AR@1 | AR@5 | Latency | Snippet tokens | Total $ | Official docs | Cost per 1,000 queries |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Parallelweb search | POST /v1/searchmode=fast | $1.16 | 86.0% | 44.3% | 79.0% | 942ms | 1,839 | $0.30 | Official docs | $1 / 1kmode=fast · 10 results |
| 2 | Parallelweb search | POST /v1/searchmode=turbo | $1.40 | 71.3% | 45.3% | 66.0% | 348ms | 1,853 | $0.30 | Official docs | $1 / 1kmode=turbo · 10 results |
| 3 | Parallelweb search | POST /v1/searchmode=basic | $5.36 | 93.3% | 55.0% | 92.0% | 1.68s | 2,330 | $1.50 | Official docs | $5 / 1kmode=basic · 10 results |
| 4 | Tavilyweb search | POST /searchsearch_depth=basic | $9.13 | 87.7% | 82.0% | 87.7% | 1.88s | 1,639 | $2.40 | Official docs | $8 / 1k1 credit · $0.008 PAYG |
| 5 | Tavilyweb search | POST /searchsearch_depth=advanced | $17.20 | 93.0% | 65.0% | 92.7% | 4.29s | 2,210 | $4.80 | Official docs | $16 / 1k2 credits · $0.008 PAYG |
$ / 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.
Tavily 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 →
Parallel leads at 77.0%. Median task time: Tavily 32s vs Parallel 30s.
| Rank | Vendor | Endpoint & configuration | Task completion | Median task time | Median task cost | Avg search time | Median task tokens | API list price |
|---|---|---|---|---|---|---|---|---|
| 1 | Tavily advanced | POST /search search_depth=advancedPOST /extract extract_depth=advanced | 60.0 ± 2.0 | 46s | $0.153$0.085 search+fetch$0.069 token cost | 3.41s | 26,269 | $0.016 / search$0.0032 / fetch |
| 2 | Tavily basic | POST /search search_depth=basicPOST /extract extract_depth=basic | 59.0 ± 1.7 | 32s | $0.113$0.043 search+fetch$0.070 token cost | 1.50s | 27,405 | $0.008 / search$0.0016 / fetch |
| 3 | Parallel advanced | POST /v1/search mode=advancedPOST /v1/extract | 77.0 ± 1.0 | 33s | $0.096$0.019 search+fetch$0.077 token cost | 3.11s | 27,092 | $0.005 / search$0.001 / fetch |
| 4 | Parallel basic | POST /v1/search mode=basicPOST /v1/extract | 76.0 ± 0.0 | 30s | $0.107$0.023 search+fetch$0.084 token cost | 1.59s | 32,809 | $0.005 / search$0.001 / fetch |
| Rank | Vendor | Endpoint & configuration | Task completion | Median task time | Median task cost | Avg search time | Median task tokens | API list price |
|---|---|---|---|---|---|---|---|---|
| 1 | Tavily basic | POST /search search_depth=basic | 51.0 ± 5.3 | 26s | $0.097$0.040 search$0.057 token cost | 1.72s | 16,299 | $0.008 / search |
| 2 | Parallel fast | POST /v1/search mode=fast | 66.7 ± 1.5 | 22s | $0.054$0.005 search$0.049 token cost | 953ms | 12,460 | $0.001 / search |
| 3 | Parallel turbo | POST /v1/search mode=turbo | 64.7 ± 2.1 | 19s | $0.059$0.005 search$0.054 token cost | 333ms | 14,130 | $0.001 / search |
Tavily 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: Tavily 63.04s vs Parallel 46.40s. Median task cost: Tavily $0.615 vs Parallel $0.419.
| Provider | Endpoint & configuration | F1 | Precision | Recall | Exact set | Median time | Mean turns | Median task cost | API list price |
|---|---|---|---|---|---|---|---|---|---|
| Tavily advanced | POST /search search_depth=advancedtavily-advanced | 41.1 ± 2.3 | 83.7 ± 4.2 | 29.8 ± 1.7 | 2.2 ± 0.0 | 92.2 s | 7.4 | $1.029$0.224 search$0.808 token cost | $0.016 / search |
| Tavily basic | POST /search search_depth=basictavily-basic | 36.5 ± 3.2 | 82.5 ± 1.9 | 25.7 ± 2.7 | 1.5 ± 1.3 | 63.0 s | 7.7 | $0.615$0.112 search$0.504 token cost | $0.008 / search |
| Parallel basic | POST /v1/search mode=basicparallel-basic | 46.5 ± 1.9 | 88.7 ± 0.9 | 34.4 ± 2.0 | 3.7 ± 2.6 | 67.6 s | 7.4 | $1.120$0.070 search$1.050 token cost | $0.005 / search |
| Parallel advanced | POST /v1/search mode=advancedparallel-advanced | 44.2 ± 1.4 | 87.6 ± 3.4 | 32.0 ± 1.6 | 2.2 ± 0.0 | 83.4 s | 7.3 | $0.625$0.070 search$0.565 token cost | $0.005 / search |
| Parallel fast | POST /v1/search mode=fastparallel-fast | 38.0 ± 2.0 | 79.9 ± 4.6 | 27.5 ± 1.4 | 1.5 ± 1.3 | 53.9 s | 7.6 | $0.460$0.014 search$0.447 token cost | $0.001 / search |
| Parallel turbo | POST /v1/search mode=turboparallel-turbo | 34.7 ± 2.4 | 80.0 ± 5.2 | 24.8 ± 2.4 | 1.5 ± 1.3 | 46.4 s | 7.6 | $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 API $ per agent run. API list price is the PAYG unit rate of the search endpoint the harness calls.
| Provider | Endpoint & configuration | F1 | Precision | Recall | Exact set | Median time | Mean turns | Median task cost | API list price |
|---|---|---|---|---|---|---|---|---|---|
| Tavily advanced | POST /search search_depth=advancedtavily-advanced | 41.0 ± 1.3 | 89.4 ± 6.0 | 29.1 ± 0.7 | 2.2 ± 0.0 | 92.6 s | 7.3 | $0.898$0.195 search+fetch$0.685 token cost | $0.016 / search$0.0032 / fetch |
| Tavily basic | POST /search search_depth=basictavily-basic | 38.1 ± 1.4 | 81.2 ± 5.9 | 27.8 ± 0.7 | 2.2 ± 0.0 | 62.0 s | 7.8 | $0.610$0.112 search+fetch$0.507 token cost | $0.008 / search$0.0032 / fetch |
| Parallel basic | POST /v1/search mode=basicparallel-basic | 42.3 ± 1.1 | 81.3 ± 2.8 | 31.3 ± 1.1 | 3.0 ± 1.3 | 68.6 s | 7.5 | $1.089$0.061 search+fetch$1.033 token cost | $0.005 / search$0.001 / fetch |
| Parallel advanced | POST /v1/search mode=advancedparallel-advanced | 42.2 ± 1.1 | 87.6 ± 0.3 | 30.1 ± 1.1 | 2.2 ± 0.0 | 80.9 s | 7.4 | $0.599$0.061 search+fetch$0.538 token cost | $0.005 / search$0.001 / fetch |
| Parallel fast | POST /v1/search mode=fastparallel-fast | 39.3 ± 3.3 | 82.3 ± 6.6 | 28.2 ± 2.0 | 2.2 ± 0.0 | 55.1 s | 7.6 | $0.441$0.014 search+fetch$0.427 token cost | $0.001 / search$0.001 / fetch |
| Parallel turbo | POST /v1/search mode=turboparallel-turbo | 36.0 ± 3.5 | 83.6 ± 4.0 | 25.0 ± 2.6 | 0.0 ± 0.0 | 48.1 s | 7.7 | $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.
Tavily vs Parallel — common questions
Tavily vs Parallel: which web search API is better?
Factual lookup: Parallel leads accuracy (Tavily 93.0% vs Parallel 93.3%). Hard retrieval: Parallel leads task completion (Tavily 60.0% vs Parallel 77.0%). Multi-hop: Parallel leads F1 (Tavily 41.1% vs Parallel 46.5%).
Is Tavily or Parallel cheaper?
On factual lookup list price: Tavily $8.00 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.