Migrate from Together.ai to Dedicated GPU: Savings Calculator
How much can you save by moving from Together.ai (Inference API) to a dedicated GPU server?
Projected Savings
Together.ai already runs open-source models — the same ones you can self-host. The question is whether their per-token convenience fee is worth it when a dedicated GPU runs those models for a flat monthly rate. At £200/month Together.ai spend:
- £131/month (66% reduction)
- £1,572/year in total savings
Savings by Current Together.ai Spend
| Current Together.ai Spend | GigaGPU RTX 4060 Ti Cost | Monthly Savings | Annual Savings |
|---|---|---|---|
| £100/mo | £69/mo | £31/mo | £372/yr |
| £250/mo | £69/mo | £181/mo | £2,172/yr |
| £500/mo | £69/mo | £431/mo | £5,172/yr |
| £1000/mo | £69/mo | £931/mo | £11,172/yr |
| £2500/mo | £69/mo | £2431/mo | £29,172/yr |
| £5000/mo | £69/mo | £4931/mo | £59,172/yr |
GigaGPU pricing is fixed monthly. No per-token, per-image, or per-request fees.
Paying a Middleman for Open-Source Models
Together.ai offers competitive per-token pricing for open-source models — and that is precisely the issue. You are paying per-token for LLaMA, Mistral, and other freely available models that run identically on your own hardware. At moderate volumes, a dedicated GPU running the same models costs less with zero rate limits and full data control. The Together.ai alternative guide details the feature comparison.
Same Models, No Per-Token Fee
- Dedicated hardware: A full RTX 4060 Ti server exclusively for your workloads. No sharing, no noisy neighbours.
- Recommended alternative: LLaMA 3 8B / Mistral 7B — the exact same models Together.ai serves, running on your own GPU.
- Fixed pricing: £69/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.
Cutting Out the Middleman
- Audit current usage: Export your Together.ai usage data — note which models and throughput levels you rely on.
- Select your GPU server: Based on your throughput needs, choose from GigaGPU dedicated plans starting at £69/month.
- Deploy your model: GigaGPU servers come with CUDA, Docker, and inference frameworks pre-installed. Deploy LLaMA 3 8B / Mistral 7B in under 15 minutes.
- Update API endpoints: Together.ai uses an OpenAI-compatible API. Point your application to your GigaGPU server — same format, different URL.
- Run parallel testing: Run both Together.ai 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 Together.ai subscription.
Seamless API Migration
Together.ai already uses OpenAI-compatible API endpoints. GigaGPU servers support the same format out of the box via vLLM or TGI. Migration typically requires changing only the base URL and API key — your application code, prompts, and integrations remain untouched.
Run Open-Source Models Without the Markup
Stop paying per-token for freely available models. Get a dedicated RTX 4060 Ti server for £69/month.
