Best GPU for Local AI Coding in 2026: Five Picks That Make Sense

Written by Jakub Rusinowski · Last updated 2026-07-12 · Hardware figures computed by our VRAM engine

The RTX 4090 (24 GB) is the best GPU for local AI coding — it runs Qwen 3.6 27B with headroom for agent contexts and an autocomplete sidecar. The used RTX 3090 delivers the same 24 GB tier for roughly half the price. On a budget, the RTX 4060 Ti 16GB runs Devstral-2 22B, and the Arc B580 is the cheapest card that runs a real coding model. Buy VRAM first, compute second.

One principle sorts the entire GPU market for coding workloads: VRAM capacity beats compute speed. A coding assistant is memory-bound twice over — the model must fit, and agent-length contexts (16–32K tokens) grow the KV cache on top. A faster card that fits a smaller model loses to a slower card that fits a better one, every time.

That principle plus the coding-model VRAM tiers produces a short list. Below, each pick is matched to the models it actually runs — figures from our compute engine, and you can verify any card + model pair in the compatibility checker.

Best overall: RTX 4090 (24 GB)

The 24 GB tier is where local coding gets genuinely good, and the 4090 is its definitive card: Qwen 3.6 27B (~18 GB at Q4) with room for 32K contexts and a StarCoder2 3B sidecar, at 50+ tokens/sec. It also fine-tunes small models and holds resale value. If the budget reaches, stop reading here.

Best value at 24 GB: used RTX 3090

Same 24 GB, same model list, roughly half the street price used. Slower tokens than the 4090 (still comfortably past reading speed for a 27B at Q4) and higher power draw — the classic trade. Buying used has its own rules; see our used-GPU guide before pulling the trigger.

Best under $500: RTX 4060 Ti 16GB (or 5060 Ti 16GB)

Sixteen gigabytes is the first genuinely agentic tier: Devstral-2 22B (~14 GB) fits, and Qwen3-Coder 8B plus autocomplete fits with room to breathe. The 4060 Ti 16GB remains the value pick; the newer 5060 Ti 16GB adds Blackwell FP4 support at a similar price point when you can find it.

Cheapest real entry: Intel Arc B580 (12 GB)

The budget dark horse: 12 GB of VRAM at an entry-level price runs Qwen3-Coder 8B with context headroom, or StarCoder2 15B. Ollama and llama.cpp support Intel via Vulkan/SYCL well enough for daily use now. You give up the CUDA ecosystem — fine for inference, limiting if you later want to fine-tune.

The ceiling: RTX 5090 (32 GB)

Thirty-two gigabytes moves you past the 24 GB tier’s compromises: Qwen 2.5 Coder 32B with full context headroom, or dense-27B plus large-sidecar setups without juggling. It is the card for people who know exactly why they need it; everyone else gets 90% of the experience from a 4090 at a much lower price.

What about Macs and multi-GPU?

Apple Silicon is a legitimate coding-LLM platform: unified memory means a 128 GB M4 Max runs Qwen3-Coder 80B-A3B — a model no single consumer GPU fits — and MoE models play to its strengths. Count ~75% of unified memory as model-usable, and see the best Mac for local LLMs guide for configs.

Two cards (2×24 GB) unlock the 48 GB tier — Qwen3-Coder 80B-A3B all-in-VRAM — but bring PCIe-lane, PSU, and case questions with them. Worth it if you already own one 3090/4090; rarely the right first move otherwise. Our multi-GPU guide covers when it pays.

Renting before buying is the cheat code this site keeps recommending: every card above can be rented by the hour for a few dollars, with your exact models and your exact workload.

No hardware? Rent the GPU first

Test-drive the 24 GB tier tonight: rent a 3090/4090 by the hour, load Qwen 3.6 27B, and run your real repo through Cline before spending a grand.

• RunPod — RTX 4090 ≈ $0.3–0.7/hr, A100/H100 by the hour; serverless per-second billing available
• Vast.ai — Marketplace of hosted GPUs — often the cheapest per hour (interruptible options)
• Lambda — On-demand A100/H100/B200 instances and clusters, per-hour billing

Full list on the cloud AI directory.

Frequently asked questions

Keep going

• Best GPU buyer’s guide — the full market, all workloads
• Buying a used GPU for local AI without getting burned
• RTX 4090 — every model it runs, with speed estimates
• VRAM Requirements for Coding LLMs: What Every Tier Actually Runs
• Best Local Coding LLMs in 2026, by VRAM Tier
• Local AI coding assistant — the full hub