Mistral 7B on RTX 4060 Ti: Monthly Cost & Token Output
Dedicated RTX 4060 Ti hosting for Mistral 7B (7B) inference — fixed monthly pricing with unlimited tokens.
Monthly Cost Summary
Think of £69/month as your inference budget ceiling. A dedicated RTX 4060 Ti runs Mistral 7B at ~79 tok/s, producing over 204 million tokens monthly. Your finance team gets a predictable line item; your engineering team gets root access and zero rate limits.
| Metric | Value |
|---|---|
| GPU | RTX 4060 Ti (16 GB VRAM) |
| Model | Mistral 7B (7B parameters) |
| Monthly Server Cost | £69/mo |
| Tokens/Second | ~78.8 tok/s |
| Tokens/Day (24h) | ~6,808,320 |
| Tokens/Month | ~204,249,600 |
| Effective Cost per 1M Tokens | £0.3378 |
Per-Token Pricing Breakdown
The 4060 Ti’s 16 GB VRAM gives Mistral 7B 9 GB of breathing room for KV cache and batching. Here is how the effective per-token cost compares:
| Provider | Cost per 1M Tokens | GigaGPU Savings |
|---|---|---|
| GigaGPU (RTX 4060 Ti) | £0.3378 | — |
| Together.ai | $0.20 | Comparable |
| Fireworks | $0.20 | Comparable |
| AWS Bedrock | $0.38 | 11% cheaper |
Break-Even Analysis
At Together.ai’s $0.20/1M rate, break-even lands around 345M tokens/month. With continuous batching enabled, the 4060 Ti can serve multiple concurrent users and push effective throughput well above its single-stream baseline.
Hardware & Configuration Notes
Mistral 7B sits comfortably in the 4060 Ti’s 16 GB VRAM with 9 GB to spare — ideal for multi-user chatbot deployments where KV cache size directly impacts concurrency.
- VRAM usage: Mistral 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 Mistral 7B on RTX 4060 Ti
- Multi-user internal chatbots with batched serving
- Document summarisation for legal and compliance teams
- RAG-powered enterprise knowledge bases
- Developer-facing code completion APIs
- Content generation and marketing copy pipelines
Predictable Costs, Unlimited Tokens
Deploy Mistral 7B on a dedicated RTX 4060 Ti. £69/month, no metering, ready in minutes.
