DeepSeek V4.1 Flash · enterprise access

Cut your DeepSeek AI bill without changing a line of code.

Swap one line — the base_url — and run the same workloads on DeepSeek V4.1 Flash. We handle the contract, the invoice, and the account contact. You keep the savings.

35% below DeepSeek's published list price 1M token context · 384K max output Native image & video input OpenAI-compatible API

Built for teams running invoice parsing, document extraction, and classification at scale.

The problem

Most teams are paying flagship prices for work a Flash-class model handles fine.

It usually starts the same way: someone picks the strongest model available, ships it, and it works. Two years later the workload has grown tenfold — and nobody has gone back to ask whether it still needs the strongest model.

01

The bill scales with the workload

Invoice parsing, field extraction, classification, summarization — high volume, low reasoning. These are exactly the jobs where the model tier stops mattering and only the price does.

  • High volume
  • Low reasoning
  • Cost-sensitive
02

Procurement can't get through

Self-service APIs are built for individuals: no account manager, a standard agreement you can't amend, prepaid top-up instead of a purchase order, a sign-up that rejects corporate email domains.

  • Needs a contract
  • Needs an invoice
  • Needs a named contact
03

Nobody owns the migration

Engineering has a roadmap. Re-plumbing a working pipeline to save money is nobody's priority — until someone is asked why the AI line item doubled.

  • Nobody's roadmap
  • No migration project
  • One line to change
Capabilities

What you're actually getting.

Everything below comes from the model's published specification — no benchmark theater, no invented numbers.

1M token context

Feed it a whole contract, a full claims file, or a multi-hundred-page PDF without building a chunking pipeline first.

1,000,000 tokens

384K token output

Structured extraction at scale — long JSON arrays, full document rewrites, bulk classification in a single response.

384,000 tokens

Native image & video input

Receipts, scans, screenshots, and footage go in directly — no separate OCR stack to run and pay for alongside the model.

vision input

Off-peak is half price

Batch jobs, nightly backfills, and re-processing runs move to off-peak hours and cost half the peak rate. Published pricing, not a promotion.

50% off-peak
Diagram of the flow: two stages side by side.

SCANNED INPUT

read natively

Sample layout. No real invoice data.

STRUCTURED OUTPUT

image in, fields out

{
  "vendor": "…",
  "invoice_number": "…",
  "issue_date": "…",
  "line_items": [
    { "description": "…", "qty": … },
    { … }
  ],
  "tax": …,
  "total": …
}

Field names shown; values omitted.

Scanned input on the left, structured record on the right. The diagram shows which fields are extracted; values are omitted because they depend on your schema.
How it works

Three steps, and only one of them is yours.

No migration project. No procurement odyssey. No change to your application beyond the endpoint.

STEP 01

Tell us your volume

Send us your monthly token usage and what you're running today. If we can't beat your current cost, we'll say so.

STEP 02

We quote, contract, and invoice

A named account contact, a contract your legal team can negotiate, and a proper invoice for your finance team.

STEP 03

You change one line

Point your existing OpenAI-compatible client at our endpoint. Keep your current provider configured as a fallback.

WE HANDLEYOU DO

Diagram of the flow: three stages connected by arrows, with the middle stage highlighted.
  1. 1

    Tell us your volume

    Monthly token usage, and what you are running today. If we cannot beat your current cost, we say so.

    • Quote
    • Contract
    • Invoice
  2. 2

    We quote and contract

    A named account contact, a negotiable agreement, an invoice.

    - base_url="…"
    + base_url="…"
    # nothing else changes
  3. 3

    You change one line

    Point your existing client at our endpoint. Keep a fallback.

Steps 1 and 2 are ours. Only step 3 lands on your side of the line — and it's a change to base_url.Diagram of the onboarding sequence. Not a screenshot.
Use cases

Where teams put DeepSeek AI to work.

Each of these has its own page with the full setup — the workload shape, the API call, and what it costs against what you run today.

Invoice parsing

Line items, tax, totals, and vendor details pulled out of supplier invoices — including scanned and photographed ones.

  • AP intake
  • Scan or PDF
  • High volume
Read the invoice parsing page

Document extraction

Turn contracts, claims files, and forms into structured records — long documents go in whole, no chunking pipeline required.

  • Long documents
  • Whole file in one call
  • Your schema
Read the document extraction page

Classification & routing

Sort inbound tickets, emails, and documents into the right queue — high volume, and the accuracy bar sits well within Flash territory.

  • Triage
  • Your queues
  • Steady per-item cost
Read the classification page

Scan and receipt reading

Photographed receipts and low-quality scans read directly by the model — no separate OCR service to run alongside it.

  • Expense capture
  • No OCR stack
  • Real-world photos
Read the receipt reading page

Code assistance

Completion, review, and test generation inside your own tooling — one endpoint, so it drops into what your team already uses.

  • Your editor
  • Same SDK
  • Large output
Read the code assistance page

Synthetic data

Datasets generated from your own seed documents and rules — not invented from a bare prompt, and validated against your schema.

  • Your own seeds
  • Your rules and schema
  • Batch friendly
Read the synthetic data page

These are the six workloads we see most. If yours isn't here, describe it in the form below — or read how we compare to going direct.

Getting to yes

Nobody signs off on this alone.

The person who wants it and the person who can stop it are usually different people. Here is what each of them gets to hear.

“Can we amend the terms?”

Contract terms are negotiable

We're not limited to one fixed standard agreement. We sign a data processing agreement, and we'll work through your legal team's questions before you commit.

Legal

“How does this get booked?”

We invoice you

Bank transfer or wire. One monthly invoice with the detail your accounting team needs. Net terms available for established accounts.

Finance

“What if it doesn't work out?”

Keep your current provider as a fallback

We're a second channel, not a replacement. Leave your existing configuration in place and route a share of traffic to us. You can move it back the same way you moved it over.

Engineering

ONE LINE CHANGES

Diagram of the flow: three stages connected by arrows, with the middle stage highlighted.

Your application

The OpenAI SDK you already ship.

api.workhorseapi.com

Same request shape. Same streaming.

WORKHORSE ENDPOINT

DeepSeek V4.1 Flash

1M context · 384K output

response returns the same way

WHAT WE HANDLE AROUND IT

  • Contract you can negotiate
  • One monthly invoice
  • A named account contact
  • Data processing agreement
Your app talks to one endpoint. We sit between it and the model — and handle everything commercial around it.Diagram of the request path. Not a screenshot.
Pricing

35% below DeepSeek's published list price.

That is the anchor for every quote. Where your own figure lands depends on volume, cache hit ratio, and how much of the load can move off-peak — tell us those and we'll send it.

  • Billed per token — you pay for what you use
  • Off-peak calls are billed at half the peak rate
  • Cache hits are billed at a reduced rate
  • One monthly invoice, payable by bank transfer
  • Prices exclude applicable taxes

Send us your workload, get a price

Tell us your monthly token volume and what you're running today. We'll come back with a rate and a straight comparison against your current bill.

  • A reply, usually within one business day
  • Named contact
  • No card required
Get a quote
FAQ

Questions we get asked before signing.

Is this the official DeepSeek API?

No. We're an independent provider — not affiliated with or endorsed by DeepSeek. We resell access to DeepSeek V4.1 Flash and handle the commercial side around it: contracting, invoicing, settlement, and a named account contact.

If you're happy with self-service, going direct is a perfectly reasonable option.

How do we pay?

By bank transfer or wire against a monthly invoice. There is no checkout on this site — we don't take card payments here. Pricing is agreed with your account contact and confirmed in the contract.

Do you provide invoices and contracts?

Yes, both. Contract terms are negotiable, and we can sign a data processing agreement. That's the main practical difference from a self-service API, where the standard agreement typically can't be amended.

How fast can we switch?

Usually the same day. The API is OpenAI-compatible, so in most codebases it's a change to base_url and the API key — nothing else. We'll walk your engineers through it.

What about data and privacy?

We process request data to serve your requests and don't sell it. Full detail is in our privacy policy and data processing agreement. Tell us if you have residency requirements and we'll confirm what we can support before you commit.

How is off-peak pricing applied?

Off-peak calls are billed at half the peak rate. It suits batch workloads — overnight backfills, bulk re-processing, periodic extraction runs — where a delay of a few hours costs you nothing.

How does this compare to OpenRouter?

OpenRouter routes across a very wide range of models. We do one thing: DeepSeek V4.1 Flash, as cheaply as we can, with the commercial process handled. If you need a dozen model families behind one key, they're the better fit. If DeepSeek is doing the work, we're usually the cheaper route.

Compare with OpenRouter

What happens if something breaks?

You get a named account contact — a person, not a ticket queue. Keep your current provider configured as a fallback so a bad day doesn't become an outage.

What can't it do?

It's a Flash-class model, not a frontier reasoning model. Complex multi-step reasoning and hard math are better served by a larger model. It also doesn't take audio input. If your workload needs either, we'll tell you rather than sell you something that won't fit.

Do you support languages other than English?

Yes — the model handles multilingual workloads well, including translation and extraction from non-English documents. Tell us which languages matter to you and we'll confirm before you commit.

Is the DeepSeek API OpenAI-compatible?

Yes. The endpoints follow the OpenAI chat-completions schema, so the official openai SDKs — and anything built on them — work unchanged. For most teams the whole migration is base_url plus the API key.

How much can we put through a single call?

V4.1 Flash takes a 1M-token context window and returns up to 384K tokens. That covers long documents, multi-file jobs, and large extraction batches without hand-chunking everything.

What are the rate limits?

Concurrency on Flash goes up to 2,500. We set your account's limits when we onboard you, based on the volume you tell us — give us your peak concurrency and we'll confirm in writing what we can commit to.

Does it support batch processing?

Yes, and batch is where the economics get interesting. Pair it with off-peak and the per-token rate is half the peak rate. It suits overnight backfills and periodic re-processing, where a few hours of delay costs you nothing.

How does prompt caching affect the bill?

Cached input tokens are billed at a far lower rate than fresh ones. If you re-send the same large prefix on every call — a schema, a long instruction block, a fixed set of examples — caching is usually the single biggest lever on the bill. We'll look at your prompt structure with you.

Can we use it for OCR and document extraction?

That's what most of our customers run on it. Flash takes image input natively, so scans of invoices, receipts, and forms go in directly — no separate OCR step in front of it. Video input works too.

Can we sign a DPA, and can the contract be amended?

Yes to both. We can sign a data processing agreement, and the master agreement is negotiable. A self-service API typically can't amend its standard terms — that's usually the point where a legal review stops.

Do you offer an SLA?

We'll put response and availability commitments in the contract, and tell you plainly what we can and can't guarantee before you sign. We don't publish a blanket uptime number that we'd then have to defend.

How do we track usage and spend?

You get a named contact and a monthly itemized invoice. Tell us what your finance team needs to see on it and we'll shape the reporting around that.

Which countries can you serve?

We screen companies and end users against applicable export controls and sanctions before onboarding. Tell us where your entity and your users are and we'll confirm before you commit to anything.

What happens if we want to leave?

Nothing holds you. Your integration is a base_url and a key — the same code runs against any OpenAI-compatible endpoint. There's no proprietary SDK to unwind.

How do we get started?

Tell us your monthly volume and what you're running today, using the form below. We'll usually come back within one business day with a price and a named contact.

Get a quote

Tell us what you're running.

One of us reads every submission and usually replies within one business day — with a rate and a comparison against your current bill.

  • A reply, usually within one business day
  • A named contact, not a ticket queue
  • Contract terms you can negotiate
  • No card required, nothing to install