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Pricing

# Pay as you go

Run up to 20,000 requests for free

|                   | Task API                                                  | Search API                          | Chat API                     |
| ----------------- | --------------------------------------------------------- | ----------------------------------- | ---------------------------- |
| Inputs            | Existing structured data, Question                        | Search objective, Queries           | Question                     |
| Outputs           | Deep research, Structured enrichments                     | Ranked URLs, Excerpts               | Free text, Structured JSON   |
| Best for          | Deep research, database enrichment,or workflow automation | Web search tool calls for AI agents | Interactive chat apps and UX |
| Latency           | 5s - 30min, asynchronous                                  | <3s, synchronous                    | <5s, synchronous             |
| Basis             | Citations, reasoning, confidence, excerpts                | —                                   | Citations                    |
| Rate limits       | 2,000 requests / min                                      | 600 requests / min                  | 300 requests / min           |
| Security          | SOC2                                                      | SOC2                                | SOC2                         |
| Price per request | $0.005 - $2.4                                             | $0.004 - $0.009                     | $0.005                       |

Task API

Deep web research with structured outputs, optimized for quality & freshness

Search API

Ranked web URLs with long, relevant content

Chat API

Fast, web-researched LLM completions

Inputs
Existing structured data,Question
Search objective,Queries
Question
Outputs
Deep research,Structured enrichments
Ranked URLs,Excerpts
Free text,Structured JSON
Best for

Deep research, database enrichment,or workflow automation

Web search tool calls for AI agents

Interactive chat apps and UX

Latency

5s - 30min, asynchronous

<3s, synchronous

<5s, synchronous

Basis

Citations, reasoning, confidence, excerpts

—

Citations

Rate limits

2,000 requests / min

600 requests / min

300 requests / min

Security

SOC2

SOC2

SOC2

Price per request

$0.005 - $2.4

$0.004 - $0.009

$0.005

Task playground[Task playground](https://platform.parallel.ai/play)
T
then
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Search playground[Search playground](https://platform.parallel.ai/play/search)
S
then
P
Chat playground[Chat playground](https://platform.parallel.ai/play/chat)
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then
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Task API

Deep web research with structured outputs, optimized for quality & freshness

Price per request:
$0.005 - $2.4
Task playground[Task playground](https://platform.parallel.ai/play)
T
then
P
Inputs:
Existing structured dataQuestion
Outputs:
Deep researchStructured enrichments
Best for:
Deep research, database enrichment,or workflow automation
Latency:
5s - 30min, asynchronous
Basis:
Citations, reasoning, confidence, excerpts
Rate limits:
2,000 requests / min
Security:
SOC2

Search API

Ranked web URLs with long, relevant content

Price per request:
$0.004 - $0.009
Search playground[Search playground](https://platform.parallel.ai/play/search)
S
then
P
Inputs:
Search objectiveQueries
Outputs:
Ranked URLsExcerpts
Best for:
Web search tool calls for AI agents
Latency:
<3s, synchronous
Basis:
—
Rate limits:
600 requests / min
Security:
SOC2

Chat API

Fast, web-researched LLM completions

Price per request:
$0.005
Chat playground[Chat playground](https://platform.parallel.ai/play/chat)
C
then
P
Inputs:
Question
Outputs:
Free textStructured JSON
Best for:
Interactive chat apps and UX
Latency:
<5s, synchronous
Basis:
Citations
Rate limits:
300 requests / min
Security:
SOC2

## Enterprise

Built for scalable, reliable, enterprise workloads

Get a demo
D
[Get a demo](https://form.fillout.com/t/sL37Ja5wWKus)
  • - Volume discounts
  • - Custom data retention agreements
  • - Data Protection Agreement
  • - Volume discounts
  • - Custom data retention agreements
  • - Data Protection Agreement
  • - Custom rate limits
  • - Early access to new products
  • - Dedicated onboarding and technical support
  • - Custom rate limits
  • - Early access to new products
  • - Dedicated onboarding and technical support

## Allocate compute based on task complexity

Parallel lets you easily flex compute based on the complexity of your task

## Pricing breakdown

Basic information retrieval
Basic information retrieval
$5.001,000 requests
$5.001,000 requests

### Task API

| Processor | Cost (per 1K requests) | Best for                               | Latency    | Max Fields | Basis                                      |
| --------- | ---------------------- | -------------------------------------- | ---------- | ---------- | ------------------------------------------ |
| Lite      | $5                     | Basic information retrieval            | 5s-60s     | ~2         | Citations, Reasoning                       |
| Base      | $10                    | Simple web research                    | 15s-100s   | ~5         | Citations, Reasoning                       |
| Core      | $25                    | Complex web research                   | 1min-5min  | ~10        | Citations, Reasoning, Excerpts, Confidence |
| Pro       | $100                   | Exploratory web research               | 3min-9min  | ~20        | Citations, Reasoning, Excerpts, Confidence |
| Ultra     | $300                   | Extensive deep research                | 5min-25min | ~20        | Citations, Reasoning, Excerpts, Confidence |
| Ultra2x   | $600                   | Advanced deep research with 2x compute | 5min-25min | ~25        | Citations, Reasoning, Excerpts, Confidence |
| Ultra4x   | $1,200                 | Advanced deep research with 4x compute | 8min-30min | ~25        | Citations, Reasoning, Excerpts, Confidence |
| Ultra8x   | $2,400                 | Advanced deep research with 8x compute | 8min-30min | ~25        | Citations, Reasoning, Excerpts, Confidence |

### Search API

| Processor | Cost (per 1K requests) | Best for           | Latency |
| --------- | ---------------------- | ------------------ | ------- |
| Base      | $4                     | Low latency search | 1s-3s   |
| Pro       | $9                     | Fresh search       | 45s-70s |

### Chat API

| Processor | Cost (per 1K requests) | Best for                                | Latency | Basis     |
| --------- | ---------------------- | --------------------------------------- | ------- | --------- |
| Speed     | $5                     | Low-latency, web-based chat completions | <5s     | Citations |
Processor

Cost (per 1K requests)

Best for

Latency

Max Fields

Basis

Lite

$5

Basic information retrieval

5s-60s

~2

Citations, Reasoning

Base

$10

Simple web research

15s-100s

~5

Citations, Reasoning

Core

$25

Complex web research

1min-5min

~10

Citations, Reasoning, Excerpts, Confidence

Pro

$100

Exploratory web research

3min-9min

~20

Citations, Reasoning, Excerpts, Confidence

Ultra

$300

Extensive deep research

5min-25min

~20

Citations, Reasoning, Excerpts, Confidence

Ultra2x

$600

Advanced deep research with 2x compute

5min-25min

~25

Citations, Reasoning, Excerpts, Confidence

Ultra4x

$1,200

Advanced deep research with 4x compute

8min-30min

~25

Citations, Reasoning, Excerpts, Confidence

Ultra8x

$2,400

Advanced deep research with 8x compute

8min-30min

~25

Citations, Reasoning, Excerpts, Confidence

Start building

## Scale with predictable cost

Parallel APIs are priced per request, not per token. You always know the exact cost of a query before you run it.

Developer platform
P
[Developer platform](https://platform.parallel.ai)Get a demo
D
[Get a demo](https://form.fillout.com/t/sL37Ja5wWKus)

[Get up to $5K in free credits]

Qualified startups can receive up to $5K in free credits from Parallel

Apply now[Apply now](https://form.fillout.com/t/cNxJPKmh7eus)

[Use pre-committed spend on Parallel]

Use pre-committed AWS spend on Parallel via the AWS marketplace

Get in touch[Get in touch](https://form.fillout.com/t/x5mAateBUnus)

Highest quality at every price point

State of the art across several benchmarks

BrowseCompDeepResearch BenchWISER-SearchWISER-AtomicSimpleQA
Performance comparison proving Parallel delivers the best enterprise deep research API for ChatGPT and AI agents with 48% accuracy vs competitors' 14% max across Model and Accuracy (%). Multi-hop research benchmark shows Parallel's structured AI agent deep research outperforms GPT-4, Claude, Exa, and Perplexity. Enterprise-ready structured deep research API with MCP server integration.

### About the benchmark

This benchmark[benchmark]($https://openai.com/index/browsecomp/), created by OpenAI, contains 1,266 questions requiring multi-hop reasoning, creative search formulation, and synthesis of contextual clues across time periods. Results are reported on a random sample of 100 questions from this benchmark. Learn more in our blog[blog]($https://parallel.ai/blog/introducing-parallel).

### Methodology

  • - Dates: All measurements were made between 08/08/2025 and 08/13/2025.
  • - Configurations: For all competitors, we report the highest numbers we were able to achieve across multiple configurations of their APIs. The exact configurations are below.
    • - GPT-5: high reasoning, high search context, default verbosity
    • - Exa: Exa Research Pro
    • - Anthropic: Claude Opus 4.1
    • - Perplexity: Sonar Deep Research reasoning effort high

## Highest quality at every price point

State of the art across several benchmarks

### Browsecomp (LP)

| Category   | Accuracy (%) |
| ---------- | ------------ |
| Ultra8x    | 58           |
| Ultra      | 45           |
| Pro        | 34           |
| GPT-5      | 41           |
| Exa        | 14           |
| Anthropic  | 7            |
| Perplexity | 6            |

### About the benchmark

This benchmark[benchmark]($https://openai.com/index/browsecomp/), created by OpenAI, contains 1,266 questions requiring multi-hop reasoning, creative search formulation, and synthesis of contextual clues across time periods. Results are reported on a random sample of 100 questions from this benchmark. Learn more in our blog[blog]($https://parallel.ai/blog/introducing-parallel).

### Methodology

  • - Dates: All measurements were made between 08/08/2025 and 08/13/2025.
  • - Configurations: For all competitors, we report the highest numbers we were able to achieve across multiple configurations of their APIs. The exact configurations are below.
    • - GPT-5: high reasoning, high search context, default verbosity
    • - Exa: Exa Research Pro
    • - Anthropic: Claude Opus 4.1
    • - Perplexity: Sonar Deep Research reasoning effort high

### DeepResearch Bench (LP)

| Category | Win Rate (%) |
| -------- | ------------ |
| Ultra8x  | 82           |
| Ultra    | 74           |
| GPT-5    | 66           |

### About the benchmark

This benchmark[benchmark]($https://github.com/Ayanami0730/deep_research_bench) contains 100 expert-level research tasks designed by domain specialists across 22 fields, primarily Science & Technology, Business & Finance, and Software Development. It evaluates AI systems' ability to produce rigorous, long-form research reports on complex topics requiring cross-disciplinary synthesis. Results are reported from the subset of 50 English-language tasks in the benchmark. Learn more in our blog[blog]($https://parallel.ai/blog/introducing-parallel).

### Methodology

  • - Dates: All measurements were made between 08/08/2025 and 08/13/2025.
  • - Win Rate: Calculated by comparing RACE[RACE]($https://github.com/Ayanami0730/deep_research_bench) scores in direct head-to-head evaluations.
  • - Configurations: For all competitors, we report results for the highest numbers we were able to achieve across multiple configurations of their APIs. The exact GPT-5 configuration is high reasoning, high search context, and high verbosity.
  • - Excluded API Results: Exa Research Pro (0% win rate), Claude Opus 4.1 (0% win rate), and Perplexity Sonar Deep Research (6% win rate).

### Search MCP Benchmark (LP)

| Series    | Model                        | Cost (CPM) | Accuracy (%) |
| --------- | ---------------------------- | ---------- | ------------ |
| Parallel  | GPT 4.1 w/ Prll Search MCP   | 21         | 74.9         |
| Parallel  | o4 mini w / Prll Search MCP  | 90         | 82.14        |
| Parallel  | o3 w / Prll Search MCP       | 192        | 80.61        |
| Parallel  | sonnet 4 w / Prll Search MCP | 92         | 78.57        |
| Native    | GPT 4.1 w / Native Search    | 27         | 70           |
| Native    | o4 mini w / Native Search    | 190        | 77           |
| Native    | o3 w / Native Search         | 351        | 79.08        |
| Native    | sonnet 4 w / Native Search   | 122        | 68.83        |
| Exa       | GPT 4.1 w/ Exa Search MCP    | 40         | 58.67        |
| Exa       | o4 mini w/ Exa Search MCP    | 199        | 61.73        |
| Exa       | o3 w/ Exa Search MCP         | 342        | 56.12        |
| Exa       | sonnet 4 w/ Exa Search MCP   | 140        | 67.13        |

CPM: USD per 1000 requests. Cost is shown on a Linear scale.

### About the benchmark

This benchmark, created by Parallel, blends WISER-Fresh and WISER-Atomic. WISER-Fresh is a set of 76 queries requiring the freshest data from the web, generated by Parallel with o3 pro. WISER-Atomic is a set of 120 hard real-world business queries, based on use cases from Parallel customers. Read our blog here[here]($https://parallel.ai/blog/search-api-benchmark).

### Distribution

40% WISER-Fresh
60% WISER-Atomic

### Evaluation

The Parallel Search API was evaluated by comparing three different web search solutions (Parallel MCP server, Exa MCP server/tool calling, LLM native web search) across four different LLMs (GPT 4.1, o4-mini, o3, Claude Sonnet 4).

### WISER-Atomic

| Series   | Model          | Cost (CPM) | Accuracy (%) |
| -------- | -------------- | ---------- | ------------ |
| Parallel | Core           | 25         | 77           |
| Parallel | Base           | 10         | 75           |
| Parallel | Lite           | 5          | 64           |
| Others   | o3             | 45         | 69           |
| Others   | 4.1 mini low   | 25         | 63           |
| Others   | gemini 2.5 pro | 36         | 56           |
| Others   | sonar pro high | 16         | 64           |
| Others   | sonar low      | 5          | 48           |

CPM: USD per 1000 requests. Cost is shown on a Log scale.

### About the benchmark

This benchmark, created by Parallel, contains 121 questions intended to reflect real-world web research queries across a variety of domains. Read our blog here[here]($https://parallel.ai/blog/parallel-task-api).

### Steps of reasoning

50% Multi-Hop questions
50% Single-Hop questions

### Distribution

40% Financial Research
20% Sales Research
20% Recruitment
20% Miscellaneous

### SimpleQA

| Series   | Model            | Cost (CPM) | Accuracy (%) |
| -------- | ---------------- | ---------- | ------------ |
| Parallel | Lite             | 5          | 92           |
| Parallel | Base             | 10         | 94           |
| Parallel | Core             | 25         | 94           |
| Others   | o3 high          | 56         | 92           |
| Others   | 4.1 mini high    | 30         | 88           |
| Others   | gemini 2.5 flash | 35         | 91           |
| Others   | sonar            | 8          | 81           |
| Others   | sonar pro        | 13         | 84           |

CPM: USD per 1000 requests. Cost is shown on a Log scale.

### About the benchmark

This benchmark contains 4,326 questions focused on short, fact-seeking queries across a variety of domains. Read our blog here[here]($https://parallel.ai/blog/parallel-task-api).

### Steps of reasoning

100% Single-Hop questions

### Distribution

36% Culture
20% Science and Technology
16% Politics
28% Miscellaneous

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