Is DeepSeek Free? Chat, API, and Local Hosting Costs Explained
DeepSeek’s chat app is free, its API is paid but inexpensive, and its model weights are open for self-hosting. Which option is “free” depends on how you use it. For a complete setup guide, see how to use DeepSeek V4.
This guide focuses on what costs money in August 2026, using rates from DeepSeek’s pricing page.
Is DeepSeek free?
Yes—depending on the access method:
- Web and mobile chat: Free. No subscription, Plus tier, or paywall.
- API: Paid, with V4 Flash output starting at $0.66 per million tokens off-peak. New accounts receive no free credit.
- Model weights: Free to download and run under an MIT license. You pay only for hardware and electricity.
In short: free for chat, cheap for API development, and free-to-self-host if you have the hardware.
Free chat app: what you get and its limits
The DeepSeek chat app, including its iOS and Android apps, is free. It includes reasoning mode, file uploads, and web search.
The limits are operational rather than commercial:
- No published daily message quota
- “Server busy” errors and slower responses during traffic spikes
- No API access, team workspace, or uptime guarantee
- Prompts are processed on DeepSeek’s servers in China under DeepSeek’s privacy policy
Use the chat app for research, drafting, coding questions, and evaluating model quality. Choose local hosting if data handling is a concern.
DeepSeek API pricing
As of August 16, 2026, DeepSeek uses peak and off-peak pricing:
- Peak: 01:00–04:00 and 06:00–10:00 UTC on weekdays
- Off-peak: Every other hour, at half the peak rate
Prices are per 1 million tokens:
| Model | Cache-hit input | Cache-miss input | Output |
|---|---|---|---|
| deepseek-v4-flash | $0.007 off-peak / $0.014 peak | $0.22 / $0.44 | $0.66 / $1.32 |
| deepseek-v4-pro | $0.022 / $0.044 | $0.66 / $1.32 | $1.98 / $3.96 |
| deepseek-v4-flash-vision-exp | $0.007 / $0.014 | $0.22 / $0.44 | $0.66 / $1.32 |
Three implementation details reduce spend:
- Use prompt caching. Repeated prefixes—such as system prompts and few-shot examples—are billed at the cache-hit rate. On Flash, that is roughly 31× cheaper than a cache miss.
- Schedule batch work off-peak. Moving non-urgent workloads outside peak hours cuts API cost in half without changing code.
- Use Flash unless Pro is justified. Even at peak, Flash output is $1.32 per million tokens. Use Pro when its quality improvement is worth the 3× premium; see the V4 Pro-0813 API guide.
For example, a chatbot using 10M mostly cached input tokens and 2M output tokens per month on off-peak V4 Flash costs about $1.50/month.
Free and near-free API options
DeepSeek does not offer trial credit, so a truly free API route must come from another provider.
- OpenRouter free model pool: OpenRouter offers 20+ free models without a credit card. DeepSeek’s free variants were removed by mid-2026, but OpenRouter’s DeepSeek models remain paid and start at roughly $0.035 per million V4 Flash input tokens. Its 50 free daily requests on other models are useful for testing your integration.
- Cloud credits: Signup credits from cloud providers and inference hosts can pay for hosted DeepSeek models temporarily.
- A small DeepSeek top-up: A $2 balance can support substantial hobby-scale usage and is the simplest way to access the first-party API.
For current providers and no-cost variants, see how to get a DeepSeek free API key.
Run DeepSeek locally for free
DeepSeek publishes weights on Hugging Face under the MIT license, allowing commercial use, fine-tuning, and redistribution.
The V4 family includes:
- V4 Flash: 284B total parameters, with 13B active
- V4 Pro: Approximately 1.7T parameters; full weights left preview in August 2026
Hardware is the trade-off:
- V4 Flash needs about 33 GB VRAM when heavily quantized, or one 80 GB H100 at FP8.
- V4 Pro’s full weights approach 900 GB, making it a datacenter-scale deployment.
- For a desktop machine, use a smaller distilled or earlier-generation model instead.
To run a practical reasoning model on consumer hardware, follow this guide to running DeepSeek R1 locally with Ollama.
Local deployment gives you:
- No per-token fees
- No rate limits
- No data leaving your machine
But you manage quantization, GPU capacity, and the serving stack. For production workloads, use tools such as vLLM or SGLang.
Chat vs. API vs. local hosting
| Choose this | Best for | Cost | Effort |
|---|---|---|---|
| Chat app | Questions, drafting, and model evaluation | $0 | None |
| API | Products and automations | Cents to a few dollars monthly at hobby scale | Low |
| Local weights | Privacy, offline use, or existing GPUs | No platform fees; hardware costs apply | High |
The API is OpenAI-compatible, so most SDK integrations only require changing the base URL.
Test one real call, mock the rest
Use Apidog to test DeepSeek without wasting tokens during development:
- Import an OpenAI-compatible API specification.
- Set the base URL to
https://api.deepseek.com. - Store your API key in an environment variable.
- Send one real request and inspect its parsed response, timing, and streamed tokens.
- Capture that response and create a mock server for frontend, CI, integration, and error-state tests.
Your application can then exercise realistic model responses at $0 while only sending live requests when validating real DeepSeek behavior. This is especially useful during peak hours, when API rates double.
FAQ
Is DeepSeek chat unlimited?
DeepSeek does not publish a message cap. In practice, server capacity is the limit, and you may see “Server busy” responses at high-traffic times. For workarounds, see how to use DeepSeek V4 for free.
Does the DeepSeek API have a free trial?
No. New accounts start with a zero balance and no promotional credit. Use a small top-up, an aggregator, or cloud signup credits.
Is DeepSeek open source?
Its weights are released under an MIT license, permitting commercial self-hosting. Its training data and full training pipeline are not published, so it is more precisely described as open-weight.
Can I use DeepSeek for coding without paying?
Yes. Use the free chat app for ad-hoc questions, or run DeepSeek Harness against a local model without API charges. See what DeepSeek Harness is.
Bottom line
DeepSeek is free for chat, inexpensive for API development, and free to self-host if you provide the hardware. Start with chat to evaluate it, move to the API when building, and keep costs low by caching prompts, scheduling batch jobs off-peak, and mocking non-production calls.
Download Apidog to import DeepSeek’s API, validate a real request, and mock the rest for free.
Top comments (0)