DeepSeek Pricing for Singapore Businesses in 2025: Rates, Features, and How to Save

DeepSeek has become a serious contender for businesses in Singapore that want low-cost, production-ready AI. Understanding DeepSeek pricing is essential for such businesses. It matters regardless of how you use AI — streamlining internal processes or powering features in your products and services — because the bill ultimately reflects tokens consumed, not marketing labels.

In this guide, we’ll explain how DeepSeek pricing works, what drives your USD bill, and smart ways to pay less. We’ll compare it with OpenAI for Singapore teams. With USD billing, the model you choose isn’t the only variable. Your payment setup matters too. We’ll also show how paying SaaS invoices using a Wise Business Card can help keep costs more consistent by converting at the mid-market rate with a transparent conversion fee.

Table of contents
DeepSeek pricing overview DeepSeek billing currency for Singapore businesses DeepSeek Chat: pricing DeepSeek Reasoner: pricing What does “per 1m tokens” mean in practice? DeepSeek vs OpenAI pricing How to save on your DeepSeek bill next month Frequently asked questions

DeepSeek pricing overview

No monthly plans or seat tiers. You pay for tokens: input tokens for the text you send and output tokens for the model’s reply. Pricing varies by model family and by whether the input qualifies as a cache hit — substantially cheaper — or a cache miss — standard rate.

2 models, 2 jobs:

• DeepSeek Chat — everyday tasks, low latency
• DeepSeek Reasoner — harder, step-by-step problems

Shared features: JSON output and prefix/fill-in-the-middle code edits (FIM).

Function calling: available in Chat. If you include tools with Reasoner, it routes to Chat automatically.

Current DeepSeek pricing

DeepSeek pricing has no monthly/annual plans. The table below shows current rates for 1m tokens¹.

Model	Input — cache hit	Input — cache miss	Output
DeepSeek Chat	0.028 USD	0.28 USD	0.42 USD
DeepSeek Reasoner	0.028 USD	0.28 USD	0.42 USD

Details are accurate as of 14 October 2025

Note: DeepSeek’s Chat and Reasoner differ in features, default output caps, and how tool calls are handled. We'll dive into the details later in this article.

What counts as a cache hit?

DeepSeek supports context caching. When you reuse large, stable parts of a prompt, your input can bill at the cache-hit rate of 0.028 USD per 1m tokens instead of the cache-miss rate of 0.28 USD per 1m tokens. For Singapore teams running periodic jobs, docs questions and answers, or templated prompts, designing the prompts to maximise cache reuse is one of the biggest levers to reduce spending.

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DeepSeek billing currency for Singapore businesses

DeepSeek bills in USD.

So if you pay with an SGD-funded card or wallet, your provider’s exchange rate and fees decide the final SGD amount.

If you hold USD and pay in USD, you can skip that conversion step (and the fees that tend to accompany currency conversions).

With a Wise Business debit card, you can:

• hold and pay in USD
• convert at the mid-market rate with a transparent fee
• keep SaaS costs more consistent month to month

DeepSeek Chat: pricing

DeepSeek Chat uses pure usage-based pricing. You pay for input tokens and output tokens, with a lower rate for input that qualifies as a cache hit.

• Input — cache hit: 0.028 USD per 1m tokens
• Input — cache miss: 0.28 USD per 1m tokens
• Output: 0.42 USD per 1m tokens

There aren’t monthly plans, seats, or paid add-ons on this page — your bill scales with tokens consumed.

DeepSeek Chat features

DeepSeek chat includes the following features:

• Runs in non-thinking mode, ideal for fast, general text tasks
• Supports a 128k context window
• Default maximum output is 4k tokens; can be raised to 8k
• Supports JSON output
• Prefix completion and FIM completion are available in beta (FIM = fill-in-middle)
• Supports function calling; if a Reasoner request includes tools, it’s routed to Chat²

Is DeepSeek Chat right for your business?

Choose Chat when you want low unit cost and predictable behavior across support assistants, internal copilots, drafting, classification, and light code or SQL suggestions. If your workflows rarely need multi-step reasoning, Chat gives strong value at the listed rates.

Keep spending in check by capping output tokens and asking for concise formats. Shorter replies add up to real savings. Reuse a stable header or system block so repeated calls qualify for cache-hit pricing on inputs. When a task genuinely needs deeper, step-by-step logic, route just those calls to Reasoner and keep everything else on Chat.

DeepSeek Reasoner: pricing

DeepSeek Reasoner is aimed at “thinking mode” tasks and, at present, carries the same public list prices as Chat. There are no separate tiers or add-ons in the table. Your cost is simply tokens × unit price.

DeepSeek Reasoner features:

DeepSeek Reasoner includes the following features:

• Built for step-by-step “thinking” tasks
• Supports a 128k context window
• Default maximum output is 32k tokens; can increase to 64k
• JSON output and chat prefix completion are supported
• FIM completion isn’t listed for Reasoner, and function calling isn’t available³
• If a request to Reasoner includes tools, DeepSeek processes it with Chat

Is DeepSeek Reasoner right for your business?

Choose Reasoner when structured reasoning and correctness matter most. Typical fits include multi-step analysis, math, complex planning, and advanced code refactoring.

Because outputs can run longer, set conservative maximum output tokens and keep instructions tight. For mixed workloads, default to Chat and escalate to Reasoner only for tasks that truly need deeper, step-by-step logic.

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What does “per 1m tokens” mean in practice?

DeepSeek quotes pricing per 1m tokens for both input and output. Your actual charge is the tokens you use multiplied by the unit price.

Small jobs are cheap. For example, 50k input — cache miss — costs 0.014 USD and 10k output costs 0.0042 USD at the listed rates — cents, not dollars. Reusing a stable header so the input is a cache hit drops that same 50k input to 0.0014 USD.

Costs climb when you send long contexts or allow verbose outputs. Two high-impact levers: cap output tokens and reuse a stable system/header block so large, repeated chunks qualify for cache-hit pricing. Both input and output are billed.

DeepSeek vs OpenAI pricing

Both providers bill in USD and price input, cached input, and output tokens separately⁴.

Provider	Model	Input — cache miss	Cached input	Output
DeepSeek	Chat/Reasoner	0.28 USD per 1m tokens	0.028 USD per 1m tokens	0.42 USD per 1m tokens
OpenAI	GPT-5	1.25 USD per 1m tokens	0.125 USD per 1m tokens	10.00 USD per 1m tokens

Details are accurate as of 14 October 2025

DeepSeek lists the same per-token prices for Chat and Reasoner today. The real differences are in features and the default output caps. OpenAI’s current flagship, GPT-5, lists higher output prices. Because output tokens are often the biggest cost line in production, that gap can matter more than input.

If you are comparing pure USD per token for large-scale text generation, DeepSeek is generally cheaper per generated token. That said, price is only one dimension. Run evals on your own data. Latency at scale, reliability, built-in tooling, ecosystem/SDK familiarity, and operational guardrails can outweigh raw unit costs.

➡️Check out our guide to Azure OpenAI pricing here

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How to save on your DeepSeek bill next month

For Singapore teams, the quickest wins come from pairing each task with the right model, trimming unnecessary tokens, and keeping exchange rate costs in check when you pay in USD.

Pick the right model and routing. Default to DeepSeek Chat for routine work like support replies, extraction, and summaries. Escalate to DeepSeek Reasoner only when structured, step-by-step reasoning actually improves outcomes. If you mix workloads, start on Chat and route only flagged cases — multi-step maths or complex planning — to Reasoner.

Run regular usage audits. Each sprint, review where tokens go. Ask whether a terse JSON answer would replace long rationales. Check if tools are being invoked on requests that do not need them. Look for oversized contexts sent to answer short prompts. Turn off features you don’t use and cap the ones you do.

Bound output and structure responses. Set conservative max_tokens per endpoint. Tell the model exactly how to answer — JSON fields or a set number of points — so replies stay focused. Shorter outputs add up to real savings at scale.

Optimise retrieval and caching. Don’t paste whole documents into every prompt. Retrieve only relevant snippets and keep a stable, repeatable instruction or header block so inputs qualify for cache-hit pricing on repeated calls.

Tame retries and parameters. Limit retries with backoff. Avoid resending large parts of the prompt that change every call. Keep the temperature low for tasks where you want the same output every time and enable tools only on paths that truly need them.

Avoid unnecessary exchange-rate costs. DeepSeek bills in USD, so exchange rate spreads and foreign transaction fees levied by many corporate bank cards can quietly inflate the final amount you end up converting from SGD. To avoid this, consider paying foreign currency SaaS bills using a Wise Business debit card to always get the mid-market rate with a low, transparent conversion fee. That keeps spending more predictable when usage spikes or USD/SGD moves.

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Save on your overseas SaaS bills with Wise Business

DeepSeek’s 2025 pricing is straightforward and currently very low on a per-token basis — especially for output, which often drives most of the monthly cost. If you standardize on DeepSeek Chat for routine jobs, reserve DeepSeek Reasoner for genuine reasoning spikes and engineer for cache hits, you’ll keep unit costs lean without micromanaging every prompt.

Because many SaaS invoices are billed in USD, foreign transaction fees from bank cards and possibly even unfavourable exchange rates can quietly eat into your business’s profits. Consider paying your software bills with a Wise Business multi-currency card. You can hold and pay in USD to work around currency conversions and their accompanying fees. Or, use Wise to convert at the mid-market rate with a low, transparent conversion fee.

💡Whether you're paying for overseas business transactions such as your SaaS subscriptions or travel expenses, the Wise Business Card lets you spend online or in-store in 40+ currencies and 150+ countries. With transparent pricing and no foreign transaction fees, Wise ensures there are no hidden fees eating into your profits.

• Get your first Wise Business card for free when you open a Wise Business account.
• Always get the mid-market rate with transparent conversion fees starting from 0.26%.
• Give your team their own corporate debit cards to keep expense management clean.
• Approve payments, set spending limits, and freeze your card if you've lost it.
• Say goodbye to monthly fees and foreign transaction fees.
• Enjoy 2 free withdrawals of up to 350 SGD per month per account.

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Frequently asked questions

Does DeepSeek have a free plan or free trial?

DeepSeek’s official page lists per-token pricing only; there’s no standing free plan advertised there. Promotions or credits tend to be time-limited and may not be reflected on the pricing doc. Check the official pricing page immediately before integration.

What currencies does DeepSeek bill in for Singapore?

Prices are listed in USD. Your card issuer or wallet will convert from SGD or another funding currency at their rate and fees unless you hold USD.

What are the context and output limits?

DeepSeek shows a 128k context length across the listed models, with default and maximum output caps that differ by model: chat defaults to 4k (max 8k), reasoner defaults to 32k (max 64k).

Does DeepSeek support function calling?

Yes — DeepSeek Chat supports function calling. If you include a tools parameter when calling DeepSeek Reasoner, DeepSeek routes that request to the chat model instead. So design your tool-use prompts accordingly.

Are there onboarding or implementation fees?

DeepSeek doesn’t list onboarding or implementation fees; the billing model is tokens × unit price, charged from money in your account. If you buy via a reseller or marketplace, their professional services fees — if any — would be outside DeepSeek’s own pricing.

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Resources

1. DeepSeek API Docs - models and pricing
2. DeepSeek API Docs - function calling
3. DeepSeek API Docs - reasoning model
4. OpenAI - pricing

Sources checked on 14th October 2025