GPU hierarchy for local AI

Every GPU ranked for local AI inference

One screen. Every catalog GPU sorted by tier, with estimated tok/s for the four canonical model sizes (7B, 14B, 32B, 70B at Q4_K_M). Measurements where we have them, bandwidth-derived estimates where we don't — every cell labeled so you know what you're reading. Methodology at /methodology.

A-tier
4
Consumer flagship
B-tier
9
Enthusiast
C-tier
12
Mid-range
D-tier
12
Budget
M-tier
6
Mobile
S-tier
27
Workstation / Datacenter
E-tier
18
Apple Silicon / Edge
TierGPUVRAMBW (GB/s)Launch MSRP7B Q414B Q432B Q470B Q4Rating
ANVIDIA GeForce RTX 4090
nvidia · 2022
24 GB1008$1,599112–15759–8326–36—9.4
ANVIDIA GeForce RTX 5090
nvidia · 2025
32 GB1792$1,999199–279105–14846–64——
AApple Mac Studio (M3 Ultra)
apple · 2025
0 GB?$4,999????—
AMacBook Pro 16" M4 Max
apple · 2024
0 GB?$3,999????—
BAMD Radeon RX 7900 XTX
amd · 2022
24 GB960$999107–14956–7925–34—7.8
BNVIDIA GeForce RTX 4080 Super
nvidia · 2024
16 GB736$99982–11443–61——7.2
BNVIDIA GeForce RTX 5080
nvidia · 2025
16 GB960$999107–14956–79———
BLenovo Legion 5 Pro Gen 7 (RTX 3080 16GB)
nvidia · 2022
16 GB?$2,299????—
BNVIDIA GeForce RTX 3090
nvidia · 2020
24 GB?$1,499????—
BNVIDIA GeForce RTX 3090 Ti
nvidia · 2022
24 GB?$1,999????—
BNVIDIA GeForce RTX 4070 Ti Super
nvidia · 2024
16 GB?$799????—
BNVIDIA GeForce RTX 4080
nvidia · 2022
16 GB?$1,199????—
BNVIDIA GeForce RTX 5070 Ti
nvidia · 2025
16 GB?$749????—
CAMD Radeon RX 9060 XT
amd · 2026
16 GB640$44971–10038–53——7.5
CAMD Radeon RX 7800 XT
amd · 2023
16 GB?$499????—
CAMD Radeon RX 7900 XT
amd · 2022
20 GB?$899????—
CAMD Radeon RX 9070
amd · 2025
16 GB?$549????—
CAMD Radeon RX 9070 XT
amd · 2025
16 GB?$599????—
CNVIDIA GeForce RTX 3080 12GB
nvidia · 2022
12 GB?$799????—
CNVIDIA GeForce RTX 4060 Ti 16GB
nvidia · 2023
16 GB?$499????—
CNVIDIA GeForce RTX 4070
nvidia · 2023
12 GB?$599????—
CNVIDIA GeForce RTX 4070 Super
nvidia · 2024
12 GB?$599????—
CNVIDIA GeForce RTX 4070 Ti
nvidia · 2023
12 GB?$799????—
CNVIDIA GeForce RTX 5060 Ti 16GB
nvidia · 2025
16 GB?$429????—
CNVIDIA GeForce RTX 5070
nvidia · 2025
12 GB?$549????—
DNVIDIA GeForce RTX 3060 12GB
nvidia · 2021
12 GB360$32940–5621–30———
DAMD Radeon RX 7600 XT
amd · 2024
16 GB?$329????—
DAMD Radeon RX 7700 XT
amd · 2023
12 GB?$449????—
DIntel Arc A770 16GB
intel · 2022
16 GB?$349????—
DIntel Arc B570
intel · 2025
10 GB?$219????—
DIntel Arc B580
intel · 2024
12 GB?$249????—
DNVIDIA GeForce RTX 3070
nvidia · 2020
8 GB?$499????—
DNVIDIA GeForce RTX 3080 10GB
nvidia · 2020
10 GB?$699????—
DNVIDIA GeForce RTX 4060
nvidia · 2023
8 GB?$299????—
DNVIDIA GeForce RTX 4060 Ti 8GB
nvidia · 2023
8 GB?$399????—
DNVIDIA GeForce RTX 5060
nvidia · 2025
8 GB?$299????—
DNVIDIA GeForce RTX 5060 Ti 8GB
nvidia · 2025
8 GB?$379????—
MNVIDIA GeForce RTX 3080 16GB (Mobile)
nvidia · 2022
16 GB512?57–8030–42———
MASUS ROG Strix Scar 18 (RTX 5090 Mobile)
nvidia · 2025
24 GB?$3,999????—
MFramework Laptop 16 (RX 7700S)
amd · 2024
8 GB?$1,699????—
MNVIDIA GeForce RTX 4090 Mobile
nvidia · 2023
16 GB??????—
MNVIDIA GeForce RTX 5090 Mobile
nvidia · 2025
24 GB??????—
MRazer Blade 16 (2025, RTX 5090 Mobile)
nvidia · 2025
24 GB?$4,499????—
SNVIDIA RTX 5000 PRO Blackwell 48GB
nvidia · 2026
48 GB960$5,499107–14956–7925–3411–168.5
SAMD Instinct MI210
amd · 2022
64 GB?$8,500????—
SAMD Instinct MI250X
amd · 2021
128 GB?$13,000????—
SAMD Instinct MI300A (APU)
amd · 2023
128 GB??????—
SAMD Instinct MI300X
amd · 2023
192 GB?$15,000????—
SAMD Instinct MI325X
amd · 2024
256 GB?$20,000????—
SAMD Instinct MI355X
amd · 2025
288 GB?$25,000????—
SIntel Gaudi 2
intel · 2022
96 GB?$8,000????—
SIntel Gaudi 3
intel · 2024
128 GB?$18,000????—
SNVIDIA A100 40GB
nvidia · 2020
40 GB?$11,000????—
SNVIDIA A100 80GB SXM
nvidia · 2020
80 GB?$17,000????—
SNVIDIA A40
nvidia · 2020
48 GB?$5,500????—
SNVIDIA B200
nvidia · 2024
192 GB?$40,000????—
SNVIDIA DGX Spark (Project Digits)
nvidia · 2025
0 GB?$3,999????—
SNVIDIA GB200 NVL72
nvidia · 2024
13824 GB??????—
SNVIDIA H100 NVL
nvidia · 2023
188 GB?$60,000????—
SNVIDIA H100 PCIe
nvidia · 2022
80 GB?$25,000????—
SNVIDIA H100 SXM
nvidia · 2022
80 GB?$30,000????—
SNVIDIA H200
nvidia · 2024
141 GB?$31,000????—
SNVIDIA L4
nvidia · 2023
24 GB?$2,500????—
SNVIDIA L40
nvidia · 2022
48 GB?$8,000????—
SNVIDIA L40S
nvidia · 2023
48 GB?$8,500????—
SNVIDIA RTX 5000 Ada Generation
nvidia · 2023
32 GB?$4,000????—
SNVIDIA RTX 6000 Ada Generation
nvidia · 2022
48 GB?$6,799????—
SNVIDIA RTX A5000
nvidia · 2021
24 GB?$2,500????—
SNVIDIA RTX A6000 (Ampere)
nvidia · 2020
48 GB?$4,650????—
SNVIDIA RTX PRO 6000 Blackwell
nvidia · 2025
96 GB?$8,499????—
EApple M3 Max
apple · 2023
0 GB??????8.5
EAMD Ryzen AI 9 HX 370 (Strix Point)
amd · 2024
0 GB?$1,599????—
EApple A17 Pro
apple · 2023
0 GB??????—
EApple A18 Pro
apple · 2024
0 GB??????—
EApple M1 Max
apple · 2021
0 GB??????—
EApple M1 Ultra
apple · 2022
0 GB??????—
EApple M2 Max
apple · 2023
0 GB??????—
EApple M2 Ultra
apple · 2023
0 GB??????—
EApple M3 Ultra
apple · 2025
0 GB??????—
EApple M4 (iPad Pro)
apple · 2024
0 GB??????—
EApple M4 Max
apple · 2024
0 GB??????—
EApple M4 Pro
apple · 2024
0 GB??????—
EGoogle Tensor G4
google · 2024
0 GB??????—
EIntel Core Ultra 7 258V (Lunar Lake)
intel · 2024
0 GB?$1,199????—
EQualcomm Snapdragon 8 Elite
qualcomm · 2024
0 GB??????—
EQualcomm Snapdragon 8 Gen 3
qualcomm · 2023
0 GB??????—
EQualcomm Snapdragon X Elite
qualcomm · 2024
0 GB??????—
EQualcomm Snapdragon X Plus
qualcomm · 2024
0 GB??????—
How to read this table
79●Measured tok/s (operator or community)130–180Estimated from bandwidth (50-70% efficiency)—Model doesn't fit at this card's VRAM

Estimates use the formula tok/s ≈ memory_bandwidth_GBps ÷ model_weights_GB × efficiency — the dominant constraint for autoregressive decode. The 50-70% efficiency band reflects realistic Ollama / llama.cpp / vLLM runtime overhead. See /methodology for the full derivation.

The Launch MSRP column is the manufacturer's list price at release, not a live price — hover a figure for the release year and, on older cards, a used-market note. A figure marked est. is our own estimate, checked within the last 90 days. Check the current price before you buy.

Got a rig? Run a benchmark and turn an estimate into a measured cell. Every measurement improves the table for the next reader.

Best value per model tier

Lowest $/tok-s pick for each model size

For each model tier, the catalog card with the lowest cost-per-tok/s among cards that fit. Computed from our planning price estimate ÷ estimated tok/s midpoint; each pick names the price basis used. A pick changes here when we revise an estimate or new hardware shifts the value frontier.

Caveat: $/tok-s is a derived estimate stacked on the bandwidth formula. For workloads where you have a measured benchmark in the table above, trust the measured number first; for unmeasured combinations, this is the ranked best-guess for buyer decisions. Price figures are our planning estimates (launch MSRP, or a used-market estimate for older cards), not live prices. Check the current price before you buy.

Choosing a GPU for your workload

The hierarchy answers "which is fastest" — but the right card for you depends on which model size you actually want to run. Budget bands are 2026 editorial estimates, not live prices. The four most common operator decisions:

  • 7B Q4 (autocomplete, single-model chat) — any card with ≥6 GB VRAM works. The decision shifts to price + power draw + cross-vendor preference. Top D-tier cards (Arc B580, RTX 3060) deliver useful tok/s at <$300.
  • 14B Q4 (coding assistant, mid-size chat) — ≥11 GB VRAM minimum. C-tier (RTX 4070 / RX 7800 XT) is the value sweet spot at $400-600.
  • 32B Q4 (full coding agent, multi-model) — ≥22 GB VRAM. B-tier 24 GB cards are the canonical buy: RTX 3090 used, RX 7900 XTX new, RTX 4090 if budget allows.
  • 70B Q4 (frontier-class local) — ≥48 GB VRAM. Single-card: RTX 6000 Ada / L40S / Mac Studio M3 Ultra. Multi-card: dual 3090 / dual 4090. Workstation tier or above.

Need it more personalized? Use /choose-my-gpu for a 9-input recommender, or /will-it-run to validate a specific model + GPU combination.

BLK · BUY · AMAZON
Shop GPUs & AI hardware on Amazon:GPU categoryRTX 4090RTX 5090Apple M-seriesAI mini-PCs

Amazon search links — we may earn a small commission at no extra cost to you. Prices change; check the listing before you buy. How we make money.