Single GPU that fits VRAM Speed estimate Price NVIDIA GeForce RTX 4090 24 GB ~383 tok/s low $3,200, avg $4,663 (used) source, 2026-10-16 NVIDIA GeForce RTX 3090 Ti 24 GB ~383 tok/s check price NVIDIA GeForce RTX 3090 24 GB ~355 tok/s low $1,889, avg $2,404 (used) source, 2026-10-16 AMD Radeon RX 7900 XTX 24 GB ~364 tok/s low $1,350, avg $1,552 (new) source, 2026-10-16 NVIDIA Tesla P40 24 GB ~131 tok/s check price NVIDIA GeForce RTX 5090 32 GB ~678 tok/s low $6,500, avg $8,757 (new) source, 2026-10-16 AMD Radeon AI PRO R9700 32 GB ~244 tok/s check price Apple Mac Studio M5 Max (32-core GPU, 36 GB) 36 GB ~174 tok/s low $2,499 (new) source, 2026-10-16 NVIDIA RTX A6000 48 GB ~291 tok/s low $6,170 (new) source, 2026-10-16 NVIDIA RTX 6000 Ada Generation 48 GB ~364 tok/s check price Apple Mac Studio M5 Max (40-core GPU, 64 GB) 64 GB ~233 tok/s check price Apple Mac Studio M5 Ultra (64-core GPU, 96 GB) 96 GB ~455 tok/s check price Framework Desktop, AMD Ryzen AI Max+ PRO 495 (Strix Halo), 192 GB 192 GB ~103 tok/s low $6,799 (new) source, 2026-10-16
Speed calculator estimate GPU NVIDIA GeForce RTX 5090 (32 GB) NVIDIA GeForce RTX 5080 (16 GB) NVIDIA GeForce RTX 5070 Ti (16 GB) NVIDIA GeForce RTX 5070 (12 GB) NVIDIA GeForce RTX 5060 Ti 16 GB (16 GB) NVIDIA GeForce RTX 5060 Ti 8 GB (8 GB) NVIDIA GeForce RTX 5060 (8 GB) NVIDIA GeForce RTX 4090 (24 GB) NVIDIA GeForce RTX 4080 SUPER (16 GB) NVIDIA GeForce RTX 4080 (16 GB) NVIDIA GeForce RTX 4070 Ti SUPER (16 GB) NVIDIA GeForce RTX 4070 SUPER (12 GB) NVIDIA GeForce RTX 4070 (12 GB) NVIDIA GeForce RTX 4060 Ti 16 GB (16 GB) NVIDIA GeForce RTX 4060 (8 GB) NVIDIA GeForce RTX 3090 Ti (24 GB) NVIDIA GeForce RTX 3090 (24 GB) NVIDIA GeForce RTX 3080 Ti (12 GB) NVIDIA GeForce RTX 3080 (10 GB) NVIDIA GeForce RTX 3060 12 GB (12 GB) AMD Radeon RX 9070 XT (16 GB) AMD Radeon RX 9070 (16 GB) AMD Radeon RX 9060 XT 16 GB (16 GB) AMD Radeon RX 7900 XTX (24 GB) AMD Radeon RX 7900 XT (20 GB) AMD Radeon RX 7800 XT (16 GB) AMD Radeon RX 7600 XT (16 GB) AMD Radeon AI PRO R9700 (32 GB) Intel Arc B580 (12 GB) NVIDIA RTX A6000 (48 GB) NVIDIA RTX 6000 Ada Generation (48 GB) NVIDIA Tesla P40 (24 GB) Apple Mac Studio M5 Max (32-core GPU, 36 GB) (36 GB) Apple Mac Studio M5 Max (40-core GPU, 64 GB) (64 GB) Apple Mac Studio M5 Ultra (64-core GPU, 96 GB) (96 GB) Framework Desktop, AMD Ryzen AI Max+ PRO 495 (Strix Halo), 192 GB (192 GB) Count 1 2 3 4 Model Qwen3-0.6B Qwen3-4B Qwen3-8B Qwen3-14B Qwen3-32B Qwen3-30B-A3B Qwen3-235B-A22B Qwen3-Coder-30B-A3B-Instruct Qwen2.5-Coder-7B-Instruct Qwen2.5-Coder-14B-Instruct Qwen2.5-Coder-32B-Instruct Qwen2.5-72B-Instruct Llama-3.1-8B-Instruct Llama-3.2-3B-Instruct Llama-3.3-70B-Instruct gemma-3-4b-it gemma-3-12b-it gemma-3-27b-it Mistral-7B-Instruct-v0.3 Mistral-Nemo-Instruct-2407 Mistral-Small-3.2-24B-Instruct-2506 Devstral-Small-2505 phi-4 DeepSeek-R1-Distill-Qwen-14B DeepSeek-R1-Distill-Qwen-32B DeepSeek-R1-Distill-Llama-70B gpt-oss-20b gpt-oss-120b GLM-4.5-Air NVIDIA-Nemotron-Nano-9B-v2
Estimate = 0.76 × bandwidth ÷ GB read per token (Q4 file size, scaled by active/total parameters for MoE). Fit = file size + 1.5 GB headroom ≤ total VRAM. Multi-GPU: VRAM adds, speed uses one card's bandwidth (layer split). Short context only. How this works