Code Completion API: Cost at 500 Developers
What does it cost to run code completion api at 500 developers? Self-hosted dedicated GPU vs API provider pricing.
Monthly Cost Comparison at 500 developers
| Provider | Monthly Cost | Pricing Model | vs GigaGPU |
|---|---|---|---|
| GigaGPU (3x RTX 5090) | £537/mo | Fixed | — |
| GitHub Copilot Business | £9500/mo | Per-dev-seats | 94% cheaper with GigaGPU |
| Codeium Enterprise | £7500/mo | Per-dev-seats | 93% cheaper with GigaGPU |
| Amazon CodeWhisperer | £9500/mo | Per-dev-seats | 94% cheaper with GigaGPU |
£107K Per Year — That Is What Per-Seat Pricing Costs at 500 Engineers
A 500-developer engineering organisation paying £19/seat/month for GitHub Copilot spends £9,500 every month — £114,000 annually. A 3x RTX 5090 cluster on GigaGPU costs £537/month, saving over £107,000 per year while keeping all source code on your own infrastructure.
At this headcount, the per-seat model is fundamentally broken. Your 501st developer costs another £19/month on Copilot. On self-hosted hardware, they cost nothing. The marginal cost of adding developers to a GPU-backed code completion server is zero until you saturate your GPU capacity — and three RTX 5090s handle 500 developers comfortably.
Annual savings potential: Up to £107,556 per year compared to the most expensive API option, assuming consistent 500 developers usage.
Enterprise-Scale Advantages
- Intellectual property protection: 500 developers means thousands of proprietary files being sent externally every day with commercial tools. Self-hosting eliminates that exposure entirely.
- Codebase-specific models: Fine-tune on your internal frameworks, microservice patterns, and API conventions. Completions reflect how your team actually writes code.
- Budget predictability: £537/month is a rounding error on an engineering budget. No procurement headaches when headcount changes by 50 people.
- Compliance alignment: SOC 2, ISO 27001, and GDPR requirements are simpler when code never leaves your controlled environment.
Where Commercial Tools Still Compete
- Distributed small teams: If your 500 developers are spread across 20 acquired companies with different toolchains, per-seat SaaS may be operationally simpler.
- Frontier model access: GPT-4-class code generation from Copilot may outperform self-hosted 7B models on complex reasoning tasks.
- Managed updates: Commercial tools handle model updates and IDE plugin maintenance automatically.
Recommended Configuration
A 3x RTX 5090 cluster at £537/month provides the throughput for 500 concurrent developers running code completion with 20-30% burst headroom. Pre-configured with CUDA, Docker, and inference frameworks — operational in under 15 minutes.
Eliminate £107K in Annual Per-Seat Licensing
Serve 500 developers with private, self-hosted code completion for £537/month — no per-seat fees, no source code leaving your network.
