GPUFits

GPU Comparisons for Local LLMs

Each comparison page includes a build-time computed spec table, a side-by-side verdict matrix with theoretical speed for 14 mainstream models at Q4_K_M @8K, bandwidth/VRAM-per-dollar value metrics, plus hand-written analysis and FAQs. Verdicts and speeds are formula estimates, not measurements.

Comparison VRAM (usable) One-line verdict
RTX 3090 vs RTX 4090 24.0 GB vs 24.0 GB For pure LLM inference, buy the 3090: same 24GB, an identical verdict matrix, bandwidth only 8% behind, at less than half the 4090's used price. The 4090 buys convenience, efficiency, and gaming.
RTX 4090 vs RTX 5090 24.0 GB vs 32.0 GB If you can buy at MSRP, take the 5090: the 32B tier moves from tight to comfortable and decode is 78% faster. At street prices neither card is rational — the 4090 carries a discontinuation premium, the 5090 trades at ~2× MSRP.
RTX 4070 Ti Super vs RTX 3090 16.0 GB vs 24.0 GB LLM-first: take the 3090 — 24GB vs 16GB is the qualitative line between 'runs 24-32B' and 'cannot'. Choose the 4070 Ti Super only if gaming comes first or you have zero mining-risk tolerance.
RTX 3060 12GB vs RTX 4070 Ti Super 12.0 GB vs 16.0 GB Under $300 targeting the 8B tier: RTX 3060 12GB. Need Phi-4 14B / gpt-oss-20b: pay up for the 4070 Ti Super. For 24B+, neither card works.
RTX 3090 vs RX 7900 XTX 24.0 GB vs 24.0 GB Linux + willing to tinker: RX 7900 XTX — half the price, same 24GB, slightly more bandwidth. Want CUDA ecosystem certainty and a multi-GPU path: RTX 3090.
RTX A6000 vs RTX 3090 48.0 GB vs 24.0 GB For 70B on one card: RTX A6000 (48GB, fits at the ceiling). If you accept dual-card tinkering: two 3090s — same capacity, double the aggregate bandwidth, ~$600 cheaper.
Mac Studio M3 Ultra (96GB) vs RTX A6000 72.0 GB vs 48.0 GB Need 60-72GB capacity with zero ops: Mac Studio M3 Ultra. Want the CUDA ecosystem at half the price: RTX A6000 — but its 48GB stops at a ceiling-tight 70B Q4.
Mac mini M4 Pro (48GB) vs RTX 3090 36.0 GB vs 24.0 GB Silent, plug-and-play, targeting ≤32B: Mac mini. Want speed, the CUDA ecosystem, and an upgrade path (dual-card 70B): a used RTX 3090 build.

Data verified 2026-09-01