memoQ vs Trados for Small Translation Agencies: AI Features and Cost

Choose the tool your clients' files and freelancers already use, then price your seats. memoQ lists $436 a year per Translator Pro licence and $3,025 a year for a server tier covering one project manager and five linguists. Trados publishes only freelance prices; its agency editions, Studio Pro and Team, are quoted. Both charge separately for their best AI translation.

Neither product's AI should decide this. memoQ's AI pre-translation, called AGT, needs a memoQ TMS subscription, and Trados's own translation model, Language Weaver Pro, is a paid add-on, so an agency running plain desktop licences gets less from either than the feature lists suggest. Three questions settle most cases: which file packages your clients send, what each seat costs, and whether you need a shared server. The sections below work through all three for a team of about six.

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Audit the files your clients send before comparing prices

Pull your last 20 jobs and note two things for each: the file the client sent and the file they expected back. That list outweighs any feature table. An illustrative result for a small agency might look like this.

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memoQ's compatibility page lists import and export for Trados project packages (.sdlppx), which carry the documents as SDLXLIFF files, as well as TTX files and the older bilingual Word format. It also reads and writes MultiTerm XML termbases and has special tools for bringing in Trados-generated TMX memories so that more old segments produce matches. So the memoQ-to-Trados direction is documented by the vendor. The reverse, Trados opening whatever memoQ produces, is where I would test rather than assume: ask someone running Trados to open a sample job from you, translate five segments and send it back, then check that tags, comments and segment statuses survived.

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Take a client whose vendor manual says all work returns as a Trados package. If memoQ imports and returns one of their real packages cleanly, the instruction is not a reason to buy Trados. If it fails, you need at least one Trados seat, and the question changes from "which tool" to "which tool as the main one, and how many seats of the other as the exception".

What six seats cost on each side

Per-seat prices are close. The gap opens at the server tier, where memoQ publishes an entry price and Trados quotes every agency edition. The table shows what each vendor puts on its public pages, in USD, as read in November 2026.

Read the Trados column as a starting point for a quote request, not a budget line. Its pricing page switches currency, and figures change at each release. Two traps are worth knowing. The page states that Studio Freelance will not run on company (domain-based) networks and sends companies that need that to Studio Professional, which is priced on request, so the $564 figure rarely applies to an agency's own staff. And Team is sold with an annual allowance of 10 million target words, so ask how the vendor counts words against it, and what happens when a busy year goes over, before you compare it with memoQ's Starter tier, which the vendor sells without volume-based pricing.

memoQ's side has gaps too. The Project Manager edition, the tiers above Starter and AGT carry no public price. Put those three items at the top of your quote request, together with the template further down this page.

A six-person agency priced both ways

Here is an illustrative agency: one project manager, three in-house translators and two part-time reviewers, about twenty freelancers on their own licences, and two large clients whose memories and termbases must be shared. The listed figures work out as follows.

• memoQ TMS Starter: $3,025 a year for six users (one PM licence plus five Linguist subscriptions) and 10 GB of storage. Shared memories and termbases come with it.
• memoQ desktop only: five Translator Pro licences at $436 is $2,180, plus a project manager edition at a quoted price. Memories travel as files, so keeping versions in step is your job.
• Trados desktop only, Freelance-level pricing: six seats at $564 is $3,384, with no shared server, and a licence that will not run on a company network.

On those listed figures the memoQ Starter tier costs about $360 less than six Freelance-level Trados seats ($3,384 minus $3,025 is $359) and includes the server. That comparison is not like for like, which is the point: the figure you need from Trados is the quote for company-edition seats plus a shared memory server. Over three years the Starter tier comes to $9,075 at today's price, assuming no increase. memoQ's Translator Pro plans renew automatically unless cancelled; ask whether Starter does the same, put the renewal date in a diary and check the price before it rolls over.

Add the cost of finding out. A two-week trial with three people spending six hours each is 18 hours. At an internal cost of $35 an hour that is $630, roughly the price of one seat for a year, and small beside a wrong three-year commitment.

Peak-season seats: monthly or annual memoQ licences

memoQ's monthly Translator Pro plan is $54 and the annual plan is $436, so monthly is cheaper for up to eight months of use: eight months cost $432, nine cost $486. Suppose three extra translators join for a two-month spike. Monthly costs 3 × 2 × $54 = $324, while three annual licences cost $1,308. The Translator Pro page says you can switch to annual at any time, so a monthly seat that turns permanent can convert. Trados works differently. Its sign-up page describes the annual Freelance plan, when paid monthly, as the first of 12 committed monthly payments, so a two-month spike belongs on its rolling monthly plan instead; check that price on the pricing page and confirm the notice period before you book the extra seats.

What the AI in each tool does and what it needs

memoQ's main AI feature is AGT, which the vendor expands as Adaptive Generative Translation. It combines machine translation, your translation memories and a large language model to produce pre-translations, drawing on two memoQ resources called TM+ and LiveDocs. The vendor says it also adjusts weak fuzzy matches in the 50 to 60 per cent band, and that a human linguist must review every output. Three conditions matter for budgeting. A memoQ TMS subscription is required. The product page shows no price, only a subscribe link, a monthly option and a free trial of 1,000,000 characters. And the vendor says your data is neither stored nor used to train any model.

A quick sum puts that trial in context. At roughly six characters a word, spaces included, 1,000,000 characters is about 160,000 words, enough for a dozen or more real jobs of 10,000 words. Check the ratio for your own language pairs, because it varies.

memoQ also connects to outside engines. Its pricing page lists plug-ins for DeepL, Google Translate and Microsoft's translator at no charge from memoQ, each needing your own account with that provider, and its 2026 release notes add a plug-in for an adaptive machine translation engine, Lara Translate, and AI quality estimation through Custom.MT. Translator Pro adds predictive typing, called The Muse, trained on your own memories and LiveDocs. A private large-language-model connection is listed only for Azure private server or on-premises setups, which puts it out of reach for most small agencies.

Trados takes a different route. Its pricing page describes an AI Assistant inside the desktop application that combines a large language model with your memories and termbases to apply terminology, adjust tone or shorten sentences. Freelance plans include RWS's Language Weaver machine translation with 600,000 free characters a month. Language Weaver Pro, which RWS calls its own language model built for translation, is an add-on: 12 million characters a year on the freelance plans and 10 million on Team, with no add-on price shown. Studio Pro and Team can also connect any language model through a feature called AI Bridge, and Team adds AI review and quality scoring on every translation. Add-on prices change often, so get them in writing.

How AI pre-translation treats a weak fuzzy match

An illustrative segment from a hotel-booking client, English into Spanish. The new source sentence is "Guests may cancel free of charge up to 14 days before arrival." Your memory holds a different sentence that scores around 60 per cent against it.

The third row is the failure that matters. Whichever tool runs the pre-translation, a figure carried over from a loosely matching memory slips past reviewers who trust the sentence structure. Turn on the numbers and units checks in the tool's QA settings, and put "figures re-read against the source" on the reviewer's checklist.

For the wider question of how memories and machine output should work together, the tutorial on combining translation memory and AI in a small agency covers that side in more depth. For engine quality, run a blind test on your own documents before you connect anything, as in the DeepL and ChatGPT test on client documents.

How each tool handles your memories and reference files

memoQ's pages describe two layers. The translation memory (the database of past segments) stores each segment with context in both language directions plus metadata such as document name, author and creation date. LiveDocs takes a source file and its translation as a pair, aligns them and offers matches from the pair; monolingual files can be searched with Concordance even though they give no translations. Termbases can be imported from tables or external termbase files, matching terms are highlighted in the segment, and a warning appears when a translation uses a term that is not in the termbase.

Trados works with translation memories and MultiTerm termbases; its pricing page says MultiTerm comes with every Freelance subscription. The practical difference shows with old archives. Say a client has 300 translated Word files and no clean memory. In memoQ you can add the pairs to a LiveDocs corpus for that client and check the match rate on a new job straight away. The other route, in any tool, is to align the pairs, review the alignment and import the result into a memory: more steps, but you end up with a proper memory. Ask Trados to show you its route for old bilingual files during the trial, and time it on 20 of the 300 files.

Whichever tool you pick, export your memories to TMX on a schedule. TMX is the neutral format memoQ's compatibility page lists for importing memories, and a copy you can open in either tool is your insurance against a licence dispute or a price rise.

A two-week trial that settles it

Run both tools on the same three real jobs and write the results down. A realistic plan for three people, about 18 hours in total, looks like this.

1. Day 1, about 1 hour: audit your last 20 jobs by file type, as above, then pick three: a Word file, a package a client sent, and a job with a large termbase.
2. Days 2 and 3, about 5 hours: start memoQ's 14-day Translator Pro trial and a Trados trial (it advertises 14 days risk-free on Freelance and a separate Team trial; check whether the AI features are included). Import all three jobs in both tools and note anything that breaks, such as tags, tables or fonts.
3. Days 4 and 5, about 4 hours: import one client memory as TMX and one termbase into each tool, run an analysis on the same file in both, and keep both match tables. Expect different counts, because segmentation and matching rules differ.
4. Days 6 to 8, about 5 hours: run AI pre-translation on a 2,000-word sample from a client that permits it. Have one reviewer log minutes per 1,000 words and the number of edits. If you have a project manager trial, memoQ's Project Manager edition lists edit-distance and editing-time reports.
5. Days 9 and 10, about 2 hours: send a package to a freelancer who uses the other tool and get it back. Check statuses, comments and tags.
6. Day 14, about 1 hour: fill in the scoring sheet below and decide.

A filled-in scoring sheet

Score each criterion from 1 to 5, multiply by its weight and divide the total by 5 to get a figure out of 100. These numbers are illustrative, from an agency where seven of 20 jobs arrive as Trados packages.

The sums: memoQ is 120 + 100 + 60 + 60 + 30 = 370, which is 74. Trados is 150 + 75 + 60 + 60 + 50 = 395, which is 79. Trados wins here because of package round trips and freelancer habits, not because of price or AI. Change the weights to match your own client mix and the answer can flip, which is why the sheet is worth filling in.

Moving memories, termbases and live jobs

If the trial points to a switch, move in this order. The counts below are an illustration for an agency with 14 memories, 9 termbases and 6 jobs in progress.

1. Export every memory as TMX and record the segment count for each (say 412,000 in total across the 14). Import them into the new tool and compare counts; a gap of more than a few per cent means something was skipped.
2. Export the 9 termbases to a table or TBX and import them. memoQ's compatibility page lists TBX, MultiTerm XML, Excel and CSV for termbase import, so a switch towards memoQ is well covered.
3. Let the 6 live jobs finish in the old tool. Moving a half-translated job mid-flight is where statuses and comments go missing.
4. Re-run the analysis on three recent quotes in the new tool and compare the counts with what you quoted. Do not change client-facing discount bands until you have compared about ten jobs.
5. Keep the old licence for one more billing cycle. On memoQ's monthly plan, a one-month overlap costs $54 a seat.
6. Rebuild project templates, QA settings and the numbers-and-units checks in the new tool before the first live job, not after it.

The tutorial on what a small agency needs from an AI translation management system covers the server and workflow side if you outgrow desktop tools.

When memoQ wins, when Trados wins, and when neither does

On the last row, an agency that small can often skip a full CAT environment. Work out whether a simpler workflow of machine translation plus human editing is enough, using a post-editing workflow as the baseline, and whether your clients' contracts permit it.

The costly mistake: buying seats before the package test

Here is a mistake that costs real money, in an invented but typical form. An agency bought five annual licences after a vendor demo and a feature table, then found that two of its largest clients required returns in a package format nobody had tested. Annual plans renew automatically, so the money was spent, and the team lost three weeks converting files by hand. The two-week trial above would have caught it for the cost of 18 hours.

The cheaper pattern: pay monthly while you test, switch to annual after the first two live client jobs go through without rework, and keep one seat of the other tool if a client demands it. Whatever you buy, check that your client contracts allow AI processing before you switch pre-translation on, and write down which clients said yes. The AI usage policy tutorial for translation businesses covers the policy side, and putting client documents into AI translation tools looks at the data risks in more detail.

The quote request to send to both vendors

Send the same message to both, so the answers line up. Replace the brackets with your own numbers.

Subject: Quote request, [n] seats, small translation agency

1. Seats: [n] desktop licences for employees and [n] project
   managers. Please confirm which edition each person needs.
2. Shared server or cloud: [n] concurrent users, [n] GB of
   memories and reference files, [n] external freelancers.
3. AI: price and limits for pre-translation (characters per
   month, overage price, model provider, where data is
   processed, whether data is stored or used for training).
4. Terms: billing period, auto-renewal date, notice period,
   price at renewal, discount for a three-year term.
5. Packages: confirm in writing that your tool imports and
   returns project packages from [the other tool].
6. Trial: length, and whether it includes the AI features.

Compare the replies line by line against your scoring sheet. A vendor that will not put package compatibility or AI data handling in writing has told you something useful.

Questions agencies ask before switching CAT tools

Can freelancers on the other tool still take my projects?

Usually, but test one job first. memoQ's compatibility page lists import and export for Trados project packages (which carry the documents as SDLXLIFF files) and MultiTerm termbases, so a memoQ agency can send and receive Trados-style work. If a freelancer uses a different tool from yours, send an XLIFF-based package, ask for it back, and check segment statuses, comments and tags before you promise a client that workflow.

Does memoQ run on a Mac?

memoQ's Translator Pro page says the desktop program runs on Windows. memoQ TMS subscriptions also include browser-based editors, memoQweb for project managers and memoQ editor for translators, which work on any machine with a browser. Trados's pricing page says its desktop application is officially supported on Windows only, with Parallels as an unsupported route on a Mac, while Trados Go runs in a browser. Check both before you buy hardware or licences for a mixed team.

Is AI pre-translation safe for client files under an NDA?

Read the vendor's data statement and your client contract before switching it on. memoQ says AGT neither stores your data nor uses it to train models, and that processing runs through Microsoft's Azure OpenAI service under an exemption the page describes as meaning no storage or human review of sensitive data. Ask Trados for the equivalent statement for Language Weaver, and keep a written record of which clients allow AI processing.

How long does switching take for a six-person agency?

My rule of thumb is two to four weeks for the tool itself, plus one billing cycle of overlap. Exporting memories and termbases takes hours, not days. The time goes on retraining habits, rebuilding project templates and re-checking match counts on a few old jobs. Keep the old licence running until two live client jobs have gone through the new tool and been delivered without rework.

Further reads

• How Small Translation Agencies Build an AI-Assisted Workflow — The wider workflow these tools slot into
• How Translators Use AI to Keep Terminology Consistent — Keep terms consistent once the tool is chosen
• AI Translation vs Human Translators: What Documents Really Cost — Price AI output against human work, document by document
• ISO 18587 Certification: Is It Worth It for a Small Translation Agency? — Decide whether post-editing certification fits your agency
• How to Check AI Translations Before Customers See Them — Set up checks on AI output before delivery
• AI Legal Translation: What a Certified Translator Can Use and Disclose — Rules for certified work that touches AI
• MTPE Rates per Word: How Translators and Agencies Price Post-Editing — Published light and full MTPE rate bands with sources named and hedged, an effort-based day-rate sum, quality tiers and wording for the quote.
• Subtitling Rates per Minute: What to Charge When AI Drafts First — Price AI-drafted subtitles by review time: published vendor bands, a per-minute formula, a three-clip timing test and quotes for QC, proofreading and rush.
• AI Tools and AI Development: The Complete 2026 Guide — the AI hub, including every tutorial in the AI-for-business series.

Sources: memoQ pricing, Translator Pro, Project Manager, AGT and compatibility pages and release notes; Trados pricing page, Trados Team page and Trados Studio Freelance sign-up page (all read November 2026).