Exa vs Parallel
Exa
Best for agent research $4/Parallel
Best for per-request research you can price in advance $1/Exa vs Parallel is decided by what sits around the search, because the searches themselves are close. Parallel if the next step after a search is structured research about an account, which its Task API prices per request from $5 to $2,400 per 1,000. Exa if the next step is reading full pages or finding a contact, since it returns extracted text and sells email enrichment at $0.02. On search alone Parallel is $1 per 1,000 fast and $5 in its default advanced mode, against Exa's $4 lite, $7 auto and $15 deep, so pin the mode on whichever you pick.
Where they actually differ
Every value comes from the same record that drives the Signal APIs listing, so this table cannot disagree with the cards. Accented tags are data one provider returns and the other does not.
| Compare | Exa | Parallel |
|---|---|---|
| What sets it apart | Web search built to be read by a model | Search and research priced per request, never per token |
| Entry price | $4/1k searches | $1/1k searches |
| Unit cost | $0.007 per search, default auto type | $0.005 per search, default mode |
| Billing model | Pay as you go Free tier | Pay as you go Free tier |
| Free tier | $10 of credits every month | $5 of free credits every month, up to 5,000 requests, plus up to $80 at signup |
| GTM motion covered | Signal Source Enrich | Source Signal Enrich |
| Data returned | FirmographicsIntent and newsWork emailMobile phoneWeb pages | FirmographicsIntent and newsWeb pages |
| MCP server | Yes https://mcp.exa.ai/mcp | Yes https://search.parallel.ai/mcp |
| Interfaces | REST API MCP server n8n node | REST API MCP server Bulk or async |
| Auth | Bearer token, or OAuth through the MCP server | API key in the x-api-key header |
| Rate limits | 10 search QPS free, up to 25 on pay as you go. 50 agent concurrency on both. | Search and Extract 600 a minute, Tasks 2,000, FindAll 300 an hour |
| Coverage | Global | Global |
| Compliance | SOC 2 Type II | SOC 2 |
| Best for | Best for agent research | Best for per-request research you can price in advance |
Pick each one when
Exa
- You want full page text back from the search itself.
- Contact enrichment in the same account is useful.
- Sustained concurrency: 50 agent requests at once.
Parallel
- Agent search at $1 per 1,000 in fast mode, a quarter of Exa's cheapest.
- Structured research per account through the Task API.
- Free credits that cover 5,000 fast searches a month.
Both run their own search, so judge them on the answers they return. Take a hundred of the queries your agent really sends, run them through both free tiers with the mode pinned, and count the results you could use without a second search.
What each one costs, tier by tier
Both publish a full rate card, so this comparison runs on numbers rather than on adjectives. Exa lists 3 tiers and Parallel lists 4. Every figure is read off the vendor's own pricing page, and the pages they came from are listed at the foot of this one.
| The short version | Exa | Parallel |
|---|---|---|
| Cheapest paid plan with the API | Developer, $4/1k searches | Search, $1 to $5 per 1,000 requests |
| Tiers published | 3 | 4 |
| Free tier | $10 of credits every month | $5 of free credits every month, up to 5,000 requests, plus up to $80 at signup |
| Unit cost at entry | $0.007 per search, default auto type | $0.005 per search, default mode |
The cheapest paid plan is rarely the plan you end up on, because what moves you up a tier is usually volume rather than a feature. The two rate cards below are what you are choosing between.
Exa
Exa publishes 3 tiers, one of them free, and pay as you go with no minimum above the free allowance.
Starter
- $10 of credits every month, plus a $10 onboarding bonus
- Access to every endpoint
- 10 search queries per second, 50 agent concurrency
- MCP server, Claude connector and ChatGPT plugin
Developer
- The per-1,000 rates in the table above
- Up to 25 search queries per second
- 50 agent concurrency
- SOC 2 Type II, card or bank payment
Enterprise
- Custom search QPS and agent concurrency
- For large-scale requirements
Parallel
Parallel publishes 4 tiers, one of them free, and pay as you go with no minimum above the free allowance.
Free credits
- Up to 5,000 requests a month
- Plus up to $80 at signup
- Startups can apply for up to $250
Search
- Turbo and fast $1, basic and advanced $5
- 10 results included
- 600 requests a minute
Task
- Nine processors, Lite to Ultra8x
- Citations, reasoning and confidence
- 2,000 runs a minute
Enterprise
- Custom rate limits
- Dedicated onboarding and support
- Early access to new products
What Exa and Parallel cost at your volume
Put your own volume in. The model picks the cheapest published plan that covers it on each side, which is the question a rate card cannot answer and the one that decides the bill.
Exa
Priced on the volume you use, so the plan that covers a normal month is the one that decides the bill.
Parallel
Priced on the volume you use, so the plan that covers a normal month is the one that decides the bill.
Plans are read from each vendor's own pricing page and the model picks the cheapest one that covers you, so these are pay-as-you-go list rates, before any volume discount you negotiate.
What a year costs at three volumes
The same plan-fit arithmetic as the model above, run out to a year, because an annual number is what a budget actually asks for.
Every column moves with volume, through a bigger plan or more seats.
| A year at | Exa | Parallel |
|---|---|---|
| 1,000 a month | $0 Developer | $0 Search |
| 10,000 a month | $720 Developer | $540 Search |
| 50,000 a month | $4,080 Developer | $2,940 Search |
These are list prices on the published plan that covers each volume, on the billing term each vendor publishes, so they are the number before you negotiate.
How this plays out once it is running
Both vendors say the same thing about pricing and mean it: a request has a price before it runs. Parallel charges per request and never per token, so a long Task answer costs the same as a short one on the same processor. Exa charges per search by mode, from $4 per 1,000 for lite to $15 for deep reasoning, with Agent runs from $0.012 to $1.00 a request.
The defaults are the trap on both sides. A Parallel Search request with no mode set runs in advanced mode at $5 per 1,000, five times the fast and turbo rate. An Exa search with no mode set runs in auto at $7, against $4 for lite. On 10,000 searches a month that is $50 against $10 on Parallel and $70 against $40 on Exa, for the same code with one parameter changed.
What each one is genuinely good at
These are the things that keep somebody paying after the first month, which is a different question from what the marketing page leads with.
Exa
The page text comes back with the result
Exa returns ranked pages with the text already extracted, so an agent can read the source without a second call. Parallel Search returns ranked URLs with compressed excerpts, and full page contents are its separate Extract API at $1 per 1,000.
Contact data behind the same key
Email enrichment at $0.02 and phone at $0.07, outside the search rate card. Parallel's enrichment is research rather than contact data, so a pipeline that ends in a person's email needs another provider beside it.
Concurrency for a fan-out
Ten search queries a second free and 25 on pay as you go, with 50 agent concurrency on both. Parallel allows 600 Search requests a minute, which is the same 10 a second as Exa's free plan.
Parallel
Agent search at $1 per 1,000, set correctly
Fast and turbo modes are $1 per 1,000 requests with 10 results included. Exa's cheapest mode is $4. The $5 of free credits a month covers 5,000 fast searches, against 2,500 lite searches on Exa's $10.
Structured research priced before it runs
The Task API runs research with citations, reasoning and confidence on nine processors from Lite to Ultra8x, $5 to $2,400 per 1,000 requests. Parallel describes Lite as about 2 fields and Core as about 10, which makes it closer to account enrichment than to search.
Polling is free against the quota
Limits apply to POST requests that create work: Tasks 2,000 a minute, Search and Extract 600. Checking a task's status does not count, so a pipeline can submit at the limit and poll as often as it likes.
Where each one falls down
Every provider on this site has a case it handles badly, and the people who find out are the ones who bought it for that case. These are the ones worth knowing before you sign rather than after.
Exa
Deep reasoning is the expensive mode
Fifteen dollars per 1,000 searches, more than twice auto, and each deep call runs for 4 to 40 seconds, so 50 concurrent slots saturate at roughly 75 calls a minute. Use it for the questions that need it, not as the default.
Contact data is a second meter
Email at $0.02 and phone at $0.07 sit outside the per-1,000 search rates, so a pipeline that finds people pays two meters on one key.
Parallel
The default mode costs five times the cheap one
A Search request with no mode runs advanced at $5 per 1,000, and the free allowance of up to 5,000 requests a month assumes the $1 modes. On the default mode the $5 of credits buys 1,000 searches.
The expensive processors are research, not enrichment
Above Core, Parallel calls its processors exploratory and deep research, up to $2,400 per 1,000. Pointing a row-per-account enrichment job at one of those is how a per-request price turns into a large bill.
No contact data
Parallel finds and researches entities; it does not sell emails or phone numbers, so the outbound half of a GTM pipeline still needs an enrichment provider.
Using Exa and Parallel together
Teams comparing these two often end up running both, and the arrangement below is the one they settle on.
The searches are close enough that running both on your own prompts is the honest test. Parallel's $5 a month covers 5,000 fast searches and Exa's $10 covers 2,500 lite ones, so fifty real prompts through each costs nothing on either side.
If both stay, split them by the second step. Parallel fast search plus the Task API on Lite or Base for account research, where a structured answer per row is the output. Exa where the agent needs to read the full page, or where a found person needs an email at $0.02.
Both host MCP servers, Exa at mcp.exa.ai and Parallel at search.parallel.ai, so an agent can carry both. Set the mode explicitly in both tool configurations, because an agent left to the defaults pays advanced on Parallel and auto on Exa.
Where the data comes from, and what you may do with it
The question that arrives late and expensively is who is allowed to hold the data. These are the fields each one returns, the coverage it claims and the compliance it publishes.
| Provider | Fields returned | Coverage | Compliance | Redistribution |
|---|---|---|---|---|
| Exa | Firmographics, Intent and news, Work email, Mobile phone, Web pages | Global | SOC 2 Type II | Not stated |
| Parallel | Firmographics, Intent and news, Web pages | Global | SOC 2 | Not stated |
None of these states a redistribution position on its pricing or docs pages. Internally that never matters. Put the rows in something your customers can see and it becomes the question your legal team asks first.
Two practical notes that apply to every provider on this page. A compliance badge describes the vendor rather than your use of it, so a GDPR DPA does not give you a lawful basis for the outreach you send. And every one of these vendors runs its own opt-out, which means a person who asks you to delete their record has to be removed from your copy as well as from theirs.
Moving between Exa and Parallel
Most readers of this page are already on one of these two, and the order below catches the expensive mistakes while they are still free.
Measure the thing you are about to lose
Replay 100 of the queries, URLs or lookups you really send through Exa and record the usable results, the failures and what each one cost. Without that baseline every provider looks cheaper per call than the one you are paying for today.
Check which fields change
Parallel does not return work email and mobile phone, which Exa does. If anything downstream reads those fields, the switch changes your pipeline as well as your vendor.
Rewrite the auth and the limits, in that order
Exa authenticates with a bearer token, or OAuth through the MCP server. Parallel uses an API key in the x-api-key header.
The limits are the part that bites later. Exa's limits: 10 search QPS free, up to 25 on pay as you go. 50 agent concurrency on both.
Parallel's limits: search and Extract 600 a minute, Tasks 2,000, FindAll 300 an hour. A loop tuned to the first will either crawl or get throttled on the second.
Run both for one billing cycle
Keep the old key live and route a slice of real traffic to the new one. A month is the shortest honest test, because the limits and the overage rate only show up under a real month's load, and those are where the surprises live.
Cancel on the renewal date
Annual seats and prepaid usage rarely refund mid-term. Check what the contract says about the time you have already paid for, and time the switch to the renewal date.
The step people skip is the first one, and it is the only one that cannot be done after the fact. Once the old key is off you have nothing to compare the new one against, so a provider that is quietly worse on your workload looks like a provider that is fine.
What practitioners say about Exa
The one part of this page that is not a vendor claim. Quotes are transcribed as written, linked to the thread, and nothing here is the only source for a figure in the tables above.
Developers who evaluate it call it infrastructure, not a search box
I've evaluated both for safety-related AI work, and Exa was much more obviously built to be infrastructure: programmatic retrieval, extraction, structured results, semantic search, throughput controls, enterprise privacy, all that boring backend stuff. Kagi was much more consumer-facing, and its API offering is newer.
r/firefox · August 2026 · 14 points
Somebody who evaluated Exa against a consumer search product for real work, and the list they reach for is the list this page is built on: retrieval you call programmatically, extraction, structured results and throughput you can control. It is the clearest outside statement of what Exa is for, which is a retrieval layer underneath something else rather than a search engine a person looks at.
The thread is about why Mozilla picked Exa and the commenter calls their own answer speculation, so the part worth keeping is the evaluation rather than the conclusion about who won it.
The unit that decides a search API is requests per job, not price per request
services like SerpAPI and Tavily are too costly to be true, and has a tight upper limit of about 5k-15k requests per month. Assuming 1 request per session, it would mean we only can use the web search tool for about 15k times in a month. That simply isn't enough for an agentic system which might need to make several calls to do a single job.
r/LLMDevs · May 2025 · 4 points
A plan sized on sessions is sized on the wrong unit, because an agent makes several calls to answer one question. That is the argument for reading the Agent API tiers on this page alongside the per-search rate: one question answered thoroughly can cost a hundred times what one search does, and the bill is set by the loop rather than by the rate card.
The monthly ceilings quoted here are this commenter's reading of two other vendors in 2025 and not anything this site verified. Take the shape of the complaint; the limits above are Exa's own, read from its rate card.
14 threads read on 13 October 2026, searched by vendor name. Scores and dates are the comment's own. Nothing here is the only source for a price or a limit on this site: every figure in the tables above comes from a vendor's own page.
Where each one sits in a working pipeline
Neither of these is bought in isolation. These are the worked stacks on this site that use one or both, with the cost run end to end.
The wider field for both
Sometimes the answer is neither, and the reason you are comparing these two points somewhere else entirely: Exa alternatives starts from the reason people leave.
Related comparisons
The 52 providers behind every pairing here are in the main listing.
Pairings that share a side with this one: Exa vs TheirStack, Exa vs Perplexity and Exa vs Tavily. Every comparison in the directory is on the compare hub.
Exa vs TheirStack
Live web research against structured hiring and technology signal.
Compare them →Exa vs Tavily
Two search APIs built for agents, priced within a tenth of a cent of each other.
Compare them →Exa vs Perplexity
Two APIs that hand an agent the text behind a search result. One is free to start on, the other has the flattest price per query here.
Compare them →Testing providers one at a time? Run the waterfall in Clay.
Clay runs a waterfall across 150+ data providers from one table, without a separate contract with each. A lookup that finds nothing costs no data credit, and the free plan includes 500 actions a month.
Frontal is a Clay Elite Studio Partner.
Exa and Parallel, answered
Read from the same records that drive the table above.
Is Exa or Parallel cheaper?
Both have a free tier that carries the API, so neither costs anything to start; what each one includes is in the next answer. Per search, Parallel is cheaper: $0.005 per search, default mode, against Exa's $0.007 per search, default auto type.
Can I try Exa and Parallel for free?
Exa: $10 of credits every month. Parallel: $5 of free credits every month, up to 5,000 requests, plus up to $80 at signup.
What are the rate limits on Exa and Parallel?
Exa: 10 search QPS free, up to 25 on pay as you go. 50 agent concurrency on both. Parallel: Search and Extract 600 a minute, Tasks 2,000, FindAll 300 an hour.
Do Exa and Parallel both have MCP servers?
Both do. Exa: https://mcp.exa.ai/mcp. Parallel: https://search.parallel.ai/mcp.
Which is better, Exa or Parallel?
Exa vs Parallel is decided by what sits around the search, because the searches themselves are close. Parallel if the next step after a search is structured research about an account, which its Task API prices per request from $5 to $2,400 per 1,000. Exa if the next step is reading full pages or finding a contact, since it returns extracted text and sells email enrichment at $0.02.
What are the downsides of Exa and Parallel?
Exa: deep reasoning is the expensive mode; contact data is a second meter. Parallel: the default mode costs five times the cheap one; the expensive processors are research, not enrichment; no contact data. The Limits section above has each one in full.
Can you use Exa and Parallel together?
The searches are close enough that running both on your own prompts is the honest test. Parallel's $5 a month covers 5,000 fast searches and Exa's $10 covers 2,500 lite ones, so fifty real prompts through each costs nothing on either side.
Can I migrate from Exa to Parallel without losing data?
Not without losing a field. Parallel does not return work email and mobile phone, which Exa does, so anything downstream that reads those fields has to change. Either way, replay a hundred real queries through both and count the usable results before you switch.