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Cost & Pricing

DeepSeek 7B on RTX 4060: Monthly Cost & Token Output

How much does it cost to run DeepSeek 7B on an RTX 4060 per month? Full cost breakdown, token throughput, and API price comparison for dedicated GPU hosting.

DeepSeek 7B on RTX 4060: Monthly Cost & Token Output

Dedicated RTX 4060 hosting for DeepSeek 7B (7B) inference — fixed monthly pricing with unlimited tokens.

The Cheapest Way to Run DeepSeek 7B

At £49/month, the RTX 4060 is GigaGPU’s most affordable dedicated server — and it runs DeepSeek 7B at a very respectable 55 tokens per second. Over a full month of continuous operation, that yields approximately 142.5 million tokens at an effective cost of just £0.34 per million.

MetricValue
GPURTX 4060 (8 GB VRAM)
ModelDeepSeek 7B (7B parameters)
Monthly Server Cost£49/mo
Tokens/Second~55.0 tok/s
Tokens/Day (24h)~4,752,000
Tokens/Month~142,560,000
Effective Cost per 1M Tokens£0.3437

Pricing Comparison: Dedicated vs. API

DeepSeek’s own API and third-party providers charge per token. The table below shows how GigaGPU’s flat-rate model compares:

ProviderCost per 1M TokensGigaGPU Savings
GigaGPU (RTX 4060)£0.3437
Together.ai$0.20Comparable
Fireworks$0.20Comparable
DeepInfra$0.13Comparable

With APIs, a traffic spike doubles your bill overnight. With dedicated hardware, your monthly cost is fixed at £49 regardless of how hard you push the GPU.

Break-Even Point

Against DeepInfra at $0.13/1M tokens, you break even at roughly 376.9M tokens/month. For workloads above that threshold, every additional token is essentially free on your dedicated RTX 4060.

Even below break-even, a dedicated server gives you advantages no API can match: complete data privacy, zero rate limits, and the freedom to fine-tune or quantise however you see fit.

Setup & Optimisation

  • Tight VRAM fit: DeepSeek 7B requires ~7 GB, leaving just 1 GB headroom on the 4060’s 8 GB. INT4 quantisation is recommended to free up space for KV cache.
  • Throughput gains: Quantisation can boost throughput by 20–40% while maintaining strong output quality.
  • Serving stack: Use vLLM or TGI for continuous batching and OpenAI-compatible endpoints.
  • Horizontal scaling: Add more RTX 4060 servers as demand grows. GigaGPU makes multi-node deployment straightforward.

Best Fit Workloads

  • Budget-friendly chatbot prototypes and MVPs
  • Internal document Q&A systems
  • Automated summarisation for content teams
  • Code generation and review assistance
  • Batch data extraction from unstructured text

DeepSeek 7B From £49/Month

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