Parallel Deep Research in Best Deep Research AI
Parallel's Task API runs research on a chosen processor, with Ultra tiers for deep multi-source work. Each output field carries a basis with citations and confidence.
Best for
Developers who want research outputs with per-field citations and confidence
Pricing
Parallel bills per completed Task Run, not per output field. Its pricing docs list Ultra at $300 per 1,000 runs, Ultra2x at $600, Ultra4x at $1,200 and Ultra8x at $2,400. Failed runs are not billed, and the pricing pages reviewed list no free tier.
What it covers
The Task API researches the open web and returns the sources it used for each output field. The docs reviewed do not name a fixed list of structured public datasets.
Citations and verification
Each output field can include a basis entry with citations, reasoning and a confidence level of high, medium or low, per the glossary. The docs do not say how confidence ratings were checked against accuracy.
API
Create a run with an input, an optional output spec and a processor such as ultra, then wait for or fetch the result (https://docs.parallel.ai/task-api/task-quickstart). Long Ultra runs suit the webhook or streaming options the docs link to.
Strengths and limitations
- Per-field basis with citations and confidence levels
- Billed per run, so cost does not rise with output field count
- Processor tiers let you trade latency for research depth
- Ultra latency is listed at 5 to 25 minutes per run
- Benchmark results are vendor-run and differ between Parallel posts
- The docs give no rate-limit numbers and point to a separate page
Third-party ratings
Not found
Dated facts
- June 10 to 12, 2025: Parallel's BrowseComp post reported Ultra at 27% on a 100-question subset (vendor-run).
- Aug 11 to 29 (year not stated): Parallel's DeepResearch Bench post reported Ultra at 82% win rate against human reference reports (vendor-run).
- As of 2026-11-08, the Task API pricing docs list Ultra at $300 per 1,000 runs.
Parallel Deep Research or Hyperresearch?
Choose Parallel Deep Research for developers who want research outputs with per-field citations and confidence. For sourced research where every figure has to hold up, Hyperresearch is our editorial choice: it scored 77.7 on DRACO in our own run and checks each cited figure against its source.
Sources for this entry
- Parallel API pricing (docs)
- Parallel choose a processor (docs)
- Parallel Task API quickstart (docs)
- Parallel basis (docs)
- Parallel deep research benchmarks (blog)
- Parallel BrowseComp benchmark (blog)
Vendor descriptions are attributed to the vendor. Prices change; confirm with each vendor.
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Cite this entry
https://bestdeepresearchai.com/resources/parallel-deep-research/