Use casesOperations & logistics
Summarise a long supplier email thread before the call
Reads months of back-and-forth about a problem order and produces a one-page brief: chronology, open points, contradictions, missing attachments.
- How it works
- Before a call or escalation, the long-context model reads the whole exported thread — often months of correspondence about a problematic order, in two languages, with forwarded fragments — and produces a one-page brief: what was promised and when, what is still open, where their later statements contradict earlier ones, and which attachments were mentioned but never sent. Each point references the original message by date and sender. Useful precisely when the thread is too long for anyone to re-read honestly.
- Data you need
- The email thread exported or forwarded as text — an .eml/.mbox export or copy-paste. No other systems required, which is why this is often the first case an SMB tries.
- What to expect
- Genuinely useful preparation when the thread has grown past what anyone will re-read. Summaries can flatten nuance and occasionally attribute a statement to the wrong party in messy quoted-reply chains — the classic failure mode — so check any quoted promise against the referenced original before using it. For anything heading towards legal dispute, treat the brief as an index into the thread, never a substitute for it.
- Where people stay involved
- The brief is preparation material, not evidence. Before using any promise or figure from it in a negotiation or dispute, the person verifies it against the original message the brief points to.
Which model, and what it costs to run
Qwen3-32B
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 structured output and tool calls.
- Licence
- Apache-2.0
- Weights at 4-bit
- 18 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
- $0.12 / $0.12per M in / out · Nebius AI Studio · EU
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.
Structured output and tool calls
Measured in a sandbox, on somebody else's functions. It tells you which models are capable of the shape of the job, not which one will survive contact with your API.
Independent measurement · UC Berkeley (Gorilla project) · board updated 2026-04-12
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 operations & logistics
All 13 →Sort supplier and carrier emails into the right queue
Tags every email to your purchasing or logistics inbox — delay, invoice, complaint — and routes it to the right queue, on your own infrastructure.
Pull order lines out of supplier PDFs and emails into a spreadsheet
Extracts SKU, quantity, price and delivery date from supplier PDFs and emails into rows you can import into your ERP or a spreadsheet.
Check supplier order confirmations against what you actually ordered
Compares each supplier confirmation against your purchase order and flags changed prices, quantities, substituted items and pushed delivery dates.
A morning digest of every delivery problem, in one email
One plain-language email each morning: the day's delayed, failed and held shipments, and the customers and orders behind each tracking number.
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