Draft a quote from a customer's enquiry email and your price list
Turns an inbound enquiry and your price list into a filled-in quote draft for a salesperson to check and send — a document to correct, not a blank page.
- How it works
- Retrieval matches what the customer is asking for against your price list and finds a similar past quote. The large model then fills in your usual quote template: line items, quantities, standard terms. The salesperson receives a draft to correct and send, not a blank page. It reads the email body and any text-extractable attachments.
- Data you need
- A machine-readable price list or SKU catalogue (a spreadsheet or export is fine; a print-layout PDF needs converting first), your quote template, and ideally a folder of past quotes. If customers have negotiated or contract-specific pricing in your ERP, that must be exported too, or every draft will quote the standard tier. Discount rules must be written down somewhere — if they live in the owner's head, drafts will use list prices only.
- What to expect
- Works best where quotes are mostly re-combinations of catalogue items; disappointing for one-off or engineered work, which still needs a human estimate. The model can pick a near-miss SKU — right product, wrong size or grade — with full confidence. Scanned purchase orders, photos and technical drawings cannot be read, as no vision model is served, so those enquiries still start with a person transcribing the request.
- Where people stay involved
- A salesperson reviews every draft before it goes out: prices, margins, the exact SKU variant, and stock or lead time, which the model does not know. The classic failure mode of quote automation is a mispriced quote that wins the job at a loss, so this stays a drafting tool — never auto-send.
Which model, and what it costs to run
Qwen3-8B
This job answers while someone waits, so latency comes first: we hold it to a single small card and, within that, take the best independent score on sticking to the document.
- Licence
- Apache-2.0
- Weights at 4-bit
- 5 GB
- Context
- 32K tokens
- Publisher
- Alibaba (Qwen Team)
What the hardware costs
One 48 GB card holds it
- Rent in the EU
- $1.60/hrScaleway, Paris (PAR2)
- Buy the card
- $7,569new, one-off
- Or rent it by the token
- $0.04 / $0.04per M in / out · DeepInfra
Hardware only, third-party prices from 2026-07. The figure excludes the KV cache, which grows with context length and how many people use it at once — sized properly in a conversation, not guessed here. Renting by the token is cheaper up front; why our customers still self-host is below.
Sticking to the document
Measured on public documents, by a model acting as judge. Read it beside the answer rate: the lowest hallucination rates on this board belong to models that simply decline more often.
Independent measurement · Vectara · board updated May 11, 2026
Reading a long document whole
No benchmark measures this
No current benchmark ranks today's open models here. HELMET showed that the popular test — finding a planted sentence — predicts nothing, and its own table has not been rerun on 2026 models.
So we do not show a chart here. We measure it on your own content, in the first week, and you see the result before anything ships.
The API is cheaper per token. Here is why our customers don't use it.
We will not pretend otherwise: renting a model by the token from a serverless API costs less per million tokens than a card we run for you. We show that price on every use-case page. What it does not include is the part a shop with a customer database actually pays for.
- 01
Your data never leaves hardware you can point at
A serverless "we don't retain your data" is a clause in a contract. Running the model on a card in Amsterdam is a fact of architecture: your catalogue, tickets and customer records are never sent to a third party at all. For a GDPR audit, that is the difference between a promise and a floor plan.
- 02
The price cannot move without your say-so
A serverless rate card is somebody else's lever. The provider can raise the price, retire the model, or change the terms, and your cost moves with it. The same model on the same card costs the same next year — you own the number.
- 03
The model cannot be taken away
Hosted APIs deprecate models on their own schedule; the one you built on can be gone in a quarter. An open-weight model on your own hardware runs for as long as you keep the lights on. No vendor can end-of-life it out from under you.
And the price gap closes with volume: past a card you keep busy — very roughly four billion tokens a month — owning is cheaper outright, even before the three reasons above.
Getting a case like this one from a conversation to production takes about two months, and you can stop at the end of any phase.
Also in sales & b2b
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Extracts part numbers, quantities, units and dates from RFQ emails and PDFs into one consistent table, instead of someone retyping them.
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Tags every email hitting the sales inbox — new enquiry, existing customer, supplier, junk — within seconds, so real enquiries reach the right person.
Grade new leads against your own definition of a good customer
Scores each new enquiry against your written definition of a good customer, with a short 'why' note the salesperson can read and disagree with.
Summarise the whole customer history before you pick up the phone
Condenses a customer's CRM notes, emails and order history into a one-screen brief before a call or visit, so nobody walks in cold.
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