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Keep IDE completions fast without paying per-token APIs
Quick Answer: For most users, the RTX 4070 Ti Super 16GB ($750-$850) offers the best balance of VRAM, speed, and value. Budget builders should consider the RTX 3060 12GB ($250-$350), while professionals should look at the RTX 4090 24GB.
Coding assistants feel good only when latency is predictable. For local use, prioritize VRAM headroom and sustained tokens/sec over theoretical peak numbers. These picks are tuned for real IDE workflows: autocomplete, refactors, and repository Q&A.
Compare all recommendations at a glance.
| GPU | VRAM | Price | Best For | |
|---|---|---|---|---|
RTX 3060 12GBBudget Pick | 12GB | $250-$350 | Autocomplete and quick fixes, Personal side projects | |
RTX 4070 Ti Super 16GBEditor's Choice | 16GB | $750-$850 | Daily local coding assistant use, Mid-size repo analysis | |
RTX 4090 24GBPerformance King | 24GB | $1,600-$2,000 | Large monorepo workflows, Higher-end coding models |
Detailed breakdown of each GPU option with pros and limitations.
Most cost-effective entry for local coding tools. Runs 7B-14B coder models with acceptable IDE latency.
Best For
Limitations
Best value for serious developer workflows. Better latency consistency and enough VRAM for stronger coding models.
Best For
Highest single-GPU quality and responsiveness for local coding assistants. Better for deeper reasoning and larger contexts.
Best For