Migrate from Anthropic to Dedicated GPU: Savings Calculator
How much can you save by moving from Anthropic (Claude Sonnet / Haiku) to a dedicated GPU server?
Projected Savings
Anthropic builds exceptional reasoning models — but their per-token pricing reflects that premium positioning. Most production workloads do not need frontier-class reasoning for every request. At a typical £450/month Anthropic spend:
- £361/month (80% reduction)
- £4,332/year in total savings
Savings by Current Anthropic Spend
| Current Anthropic Spend | GigaGPU RTX 5090 Cost | Monthly Savings | Annual Savings |
|---|---|---|---|
| £100/mo | £89/mo | £11/mo | £132/yr |
| £250/mo | £89/mo | £161/mo | £1,932/yr |
| £500/mo | £89/mo | £411/mo | £4,932/yr |
| £1000/mo | £89/mo | £911/mo | £10,932/yr |
| £2500/mo | £89/mo | £2411/mo | £28,932/yr |
| £5000/mo | £89/mo | £4911/mo | £58,932/yr |
GigaGPU pricing is fixed monthly. No per-token, per-image, or per-request fees.
When Claude’s Strengths Are Not Your Requirements
Anthropic offers strong reasoning models but at premium per-token pricing. Claude excels at nuanced analysis and careful instruction-following — but many production tasks (customer support routing, content classification, data extraction) do not require frontier reasoning. Open-source alternatives like LLaMA 3 70B deliver comparable performance for these use cases at a fraction of the cost.
Your Dedicated Alternative
- Dedicated hardware: A full RTX 5090 server exclusively for your workloads. No sharing, no noisy neighbours.
- Recommended alternative: LLaMA 3 70B or Mixtral 8x7B delivers comparable quality to Claude Sonnet / Haiku for most production use cases.
- Fixed pricing: £89/month regardless of how many tokens, images, or requests you process.
- Full control: SSH access, custom model deployment, fine-tuning capability, no vendor lock-in.
- Data sovereignty: Your data stays on your server. No third-party data processing or logging.
Migration Roadmap
- Audit current usage: Export your Anthropic usage data to understand volume, peak times, and model requirements.
- Select your GPU server: Based on your throughput needs, choose from GigaGPU dedicated plans starting at £89/month.
- Deploy your model: GigaGPU servers come with CUDA, Docker, and inference frameworks pre-installed. Deploy LLaMA 3 70B or Mixtral 8x7B in under 15 minutes.
- Adapt your prompts: Anthropic’s prompt format differs from OpenAI-compatible endpoints. Adjust system prompts and message formatting during migration.
- Run parallel testing: Run both Anthropic and your self-hosted model in parallel for 1-2 weeks to validate quality and performance.
- Cut over: Once validated, switch fully to your dedicated server and cancel your Anthropic subscription.
API Format Transition
GigaGPU servers support OpenAI-compatible API endpoints out of the box. Anthropic uses a different message format than OpenAI, so migrating requires minor prompt restructuring. Most inference servers (vLLM, TGI) handle this natively. The core application logic remains unchanged — only the API client and message formatting need updating.
Start Your Migration
Stop paying per-token to Anthropic. Get a dedicated RTX 5090 server for £89/month and keep 100% of your savings.
