Mistral 7B on RTX 5090: Monthly Cost & Token Output
Dedicated RTX 5090 hosting for Mistral 7B (7B) inference — fixed monthly pricing with unlimited tokens.
Monthly Cost Summary
Over 571 million tokens per month from a single GPU. The RTX 5090 paired with Mistral 7B is GigaGPU’s highest-throughput setup for 7B-class models, delivering 220+ tok/s. At £179/month, the effective per-token cost drops to just £0.31/1M — 18% below AWS Bedrock’s metered pricing.
| Metric | Value |
|---|---|
| GPU | RTX 5090 (32 GB VRAM) |
| Model | Mistral 7B (7B parameters) |
| Monthly Server Cost | £179/mo |
| Tokens/Second | ~220.5 tok/s |
| Tokens/Day (24h) | ~19,051,200 |
| Tokens/Month | ~571,536,000 |
| Effective Cost per 1M Tokens | £0.3132 |
Enterprise Throughput at Consumer Pricing
The 5090’s 32 GB VRAM leaves 25 GB free after loading Mistral 7B, enabling massive concurrent batch sizes:
| Provider | Cost per 1M Tokens | GigaGPU Savings |
|---|---|---|
| GigaGPU (RTX 5090) | £0.3132 | — |
| Together.ai | $0.20 | Comparable |
| Fireworks | $0.20 | Comparable |
| AWS Bedrock | $0.38 | 18% cheaper |
Break-Even Analysis
Against Together.ai at $0.20/1M tokens, break-even is approximately 895M tokens/month. With 25 GB free VRAM powering deep KV caches and aggressive continuous batching, the 5090 can serve hundreds of concurrent users and push effective monthly throughput well into break-even territory.
Hardware & Configuration Notes
25 GB of free VRAM is extraordinary for a 7B model. You can allocate massive KV caches, run very large batch sizes, or co-host a second model (such as an embedding model for RAG) on the same GPU.
- VRAM usage: Mistral 7B requires approximately 7 GB VRAM. The RTX 5090 provides 32 GB, leaving 25 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 5090 nodes behind a load balancer. GigaGPU supports multi-server deployments with simple configuration.
Best Use Cases for Mistral 7B on RTX 5090
- High-traffic production chatbot platforms serving hundreds of users
- Multi-model deployments sharing a single GPU
- Enterprise RAG systems with heavy concurrent query loads
- Real-time content generation at media scale
- Large-scale overnight batch processing of millions of documents
571M Tokens/Month — One GPU, One Price
Maximise your Mistral 7B throughput with a dedicated RTX 5090. £179/month, all-inclusive.
