Qwen 7B on RTX 4060: Monthly Cost & Token Output
Dedicated RTX 4060 hosting for Qwen 7B (7B) inference — fixed monthly pricing with unlimited tokens.
Monthly Cost Summary
Qwen 7B delivers impressive multilingual performance in a compact 7B-parameter package. On a dedicated RTX 4060, you can serve it for £49/month with no usage caps. That works out to roughly 140 million tokens of monthly capacity at £0.35 per million — predictable, affordable, and entirely under your control.
| Metric | Value |
|---|---|
| GPU | RTX 4060 (8 GB VRAM) |
| Model | Qwen 7B (7B parameters) |
| Monthly Server Cost | £49/mo |
| Tokens/Second | ~53.9 tok/s |
| Tokens/Day (24h) | ~4,656,960 |
| Tokens/Month | ~139,708,800 |
| Effective Cost per 1M Tokens | £0.3507 |
Self-Hosted vs. Metered APIs
Qwen 7B is available through several inference API providers. Here is how dedicated hosting compares on cost:
| Provider | Cost per 1M Tokens | GigaGPU Savings |
|---|---|---|
| GigaGPU (RTX 4060) | £0.3507 | — |
| Together.ai | $0.20 | Comparable |
| Fireworks | $0.20 | Comparable |
| DeepInfra | $0.13 | Comparable |
Break-Even Analysis
Against DeepInfra at $0.13/1M tokens, the RTX 4060 breaks even at roughly 376.9M tokens/month. Past that threshold, your effective cost per token drops toward zero. For teams handling multilingual workloads at scale, dedicated hardware becomes the clear economic winner.
Hardware & Configuration Notes
Qwen 7B needs ~7 GB VRAM, leaving just 1 GB free on the RTX 4060. Consider INT4 quantisation to unlock additional headroom for batching and concurrent serving.
- VRAM usage: Qwen 7B requires approximately 7 GB VRAM. The RTX 4060 provides 8 GB, leaving 1 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 nodes behind a load balancer. GigaGPU supports multi-server deployments with simple configuration.
Best Use Cases for Qwen 7B on RTX 4060
- Multilingual chatbots supporting CJK and European languages
- Cross-language document summarisation
- Localisation-aware RAG applications
- Content translation and adaptation pipelines
- Batch text processing across language pairs
Qwen 7B from £49/Month
Deploy on a dedicated RTX 4060 with flat-rate pricing and zero per-token fees.
