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Cost & Pricing

Qwen 7B on RTX 4060 Ti: Monthly Cost & Token Output

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

Qwen 7B on RTX 4060 Ti: Monthly Cost & Token Output

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

Monthly Cost Summary

For teams that need Qwen 7B with room to grow, the RTX 4060 Ti doubles the VRAM to 16 GB while boosting throughput to 73.5 tok/s. The £69/month price covers over 190 million tokens — and the 9 GB of spare VRAM means you can serve multiple concurrent users comfortably.

MetricValue
GPURTX 4060 Ti (16 GB VRAM)
ModelQwen 7B (7B parameters)
Monthly Server Cost£69/mo
Tokens/Second~73.5 tok/s
Tokens/Day (24h)~6,350,400
Tokens/Month~190,512,000
Effective Cost per 1M Tokens£0.3622

How £69/Month Compares to Pay-Per-Token

The extra VRAM on the 4060 Ti enables better batching performance, which improves effective throughput under real-world concurrent load:

ProviderCost per 1M TokensGigaGPU Savings
GigaGPU (RTX 4060 Ti)£0.3622
Together.ai$0.20Comparable
Fireworks$0.20Comparable
DeepInfra$0.13Comparable

Break-Even Analysis

Compared to DeepInfra at $0.13/1M tokens, the crossover is approximately 530.8M tokens/month. Below that, DeepInfra costs less per token. Above it, every token on your dedicated server is effectively free — and you keep full control over data privacy and model configuration.

Hardware & Configuration Notes

With 9 GB of free VRAM after loading Qwen 7B, the 4060 Ti can handle generous KV caches for multi-turn conversations — an important factor for chatbot deployments where context length matters.

  • VRAM usage: Qwen 7B requires approximately 7 GB VRAM. The RTX 4060 Ti provides 16 GB, leaving 9 GB headroom for KV cache and batching.
  • Quantisation: Running in FP16 by default. INT8 or INT4 quantisation can reduce VRAM usage and increase throughput by 20–40% with minimal quality loss for most use cases.
  • Batching: With continuous batching enabled (e.g., vLLM or TGI), you can serve multiple concurrent users from a single GPU, increasing effective throughput significantly.
  • Scaling: Need more throughput? Add additional RTX 4060 Ti nodes behind a load balancer. GigaGPU supports multi-server deployments with simple configuration.

Best Use Cases for Qwen 7B on RTX 4060 Ti

  • Production chatbots with extended conversation context
  • Multilingual customer service automation
  • Enterprise search with retrieval-augmented generation
  • Automated content localisation
  • Parallel text analysis across multiple languages

190M Tokens, £69, Zero Surprises

Get a dedicated RTX 4060 Ti for Qwen 7B. Pre-configured and ready to deploy.

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