# Best LLMs for 64 GB VRAM
Canonical: https://social-archive.org/hanshelder/NR1QSdQaDW
Original URL: https://llmconfigurator.com/en/vram/64gb
Author: Jakub Rusinowski
Platform: web
Share mode: full
## Content
64 GBFor example M1 Max, M5 Pro, RTX PRO 5000 Blackwell (72 GB) Models that fit148entirely in memory Best overall98 [Qwen 2.5 72B Instruct](https://llmconfigurator.com/en/models/qwen-2.5/qwen-2.5-72b) Largest that fits48.3 GB [Qwen3-Coder-Next (80B-A3B MoE)](https://llmconfigurator.com/en/models/qwen3-coder/qwen3-coder-80b-a3b) ## Best at 64 GB, by task Score is the task-specific quality score on a 0–100 scale; speed is estimated for the M1 Max. ## The strongest that fit Top 15, by logic and coding | Model | Memory · marker = 64 GB | VRAM | Speed on M1 Max (est.) | Score | | --- | --- | --- | --- | --- | | Qwen 2.5 72B Instruct Qwen 2.5 Family · Q4_K_M | 43.5 GB | ~5 tok/s | 98 | | Qwen 2.5 Coder 32B Qwen 2.5 Family · Q4_K_M | 19.3 GB | ~10 tok/s | 97 | | Llama 3.3 70B Instruct Llama 3.3 · Q2_K_XS (Tight) | 20.2 GB | ~10 tok/s | 97 | | Qwen 3 32B Qwen 3 · Q4_K_M | 19.8 GB | ~10 tok/s | 97 | | DeepSeek R1 Distill Qwen 32B DeepSeek R1 · Q4_K_M | 19.3 GB | ~10 tok/s | 96 | | Qwen 2.5 14B Instruct Qwen 2.5 Family · Q4_K_M | 8.5 GB | ~22 tok/s | 95 | | Nemotron 70B Instruct Nemotron 70B · Q4_K_M | 42.6 GB | ~5 tok/s | 94 | | Qwen 3 14B Qwen 3 · Q4_K_M | 8.9 GB | ~21 tok/s | 94 | | Codestral 22B Codestral · Q4_K_M | 13.4 GB | ~15 tok/s | 93 | | Qwen 3.6 35B-A3B Qwen 3.6 · Q4_K_M | 21.1 GB | ~84 tok/s | 93 | | DeepSeek R1 Distill Qwen 14B DeepSeek R1 · Q4_K_M | 8.5 GB | ~22 tok/s | 92 | | Phi-4 (14B) Phi-4 Family · Q4_K_M | 8.5 GB | ~22 tok/s | 92 | | Gemma 4 31B Gemma 4 · Q4_K_M | 18.7 GB | ~10 tok/s | 92 | | Qwen 2.5 VL 72B Instruct Qwen 2.5 VL · Q4_K_M | 44.3 GB | ~5 tok/s | 92 | | Qwen3-Coder-Next (80B-A3B MoE) Qwen3-Coder · Q4_K_M | 48.3 GB | — | 92 | ## What 80 GB unlocks The strongest models that need the next tier up. - [Qwen 3.5 122B-A10B73.7 GB](https://llmconfigurator.com/en/models/qwen3-5/qwen3-5-122b-a10b) ## FAQ ### What LLMs run well with 64 GB VRAM? Qwen 2.5 Family, Qwen 2.5 Family, Llama 3.3, Qwen 3, DeepSeek R1 all fit in 64 GB VRAM. ### Which GPUs have 64 GB VRAM? Apple M1 Max, Apple M5 Pro, NVIDIA RTX PRO 5000 Blackwell (72 GB), NVIDIA A100 80GB (PCIe). ## All tiers at a glance | Memory | Models fit | Best overall | Largest that fits | | --- | --- | --- | --- | | 4 GB | 35 | Shieldstral 1.0 3B | Gemma 3 4B Instruct · 2.4 GB | | 6 GB | 59 | Granite 3.0 8B Instruct | Qwen 2.5 VL 7B Instruct · 5 GB | | 8 GB | 75 | Granite 3.0 8B Instruct | Falcon 3 10B Instruct · 6.2 GB | | 10 GB | 87 | Qwen 2.5 14B Instruct | Qwen 3 14B · 8.9 GB | | 12 GB | 89 | Qwen 2.5 14B Instruct | StarCoder 2 15B · 9.4 GB | | 16 GB | 99 | Qwen 2.5 14B Instruct | Mistral Small 3 (24B) · 14.5 GB | | 20 GB | 116 | Qwen 2.5 14B Instruct | Gemma 4 31B · 18.7 GB | | 24 GB | 136 | Qwen 2.5 Coder 32B | Qwen 3.6 35B-A3B · 21.1 GB | | 32 GB | 137 | Qwen 2.5 Coder 32B | Qwen 3.6 35B-A3B · 21.1 GB | | 48 GB | 143 | Qwen 2.5 72B Instruct | Qwen 2.5 VL 72B Instruct · 44.3 GB | | 64 GB | 148 | Qwen 2.5 72B Instruct | Qwen3-Coder-Next (80B-A3B MoE) · 48.3 GB | | 80 GB | 158 | Qwen 2.5 72B Instruct | Qwen 3.5 122B-A10B · 73.7 GB | [or compare on Vast.ai from $0.77/hr (typical low · varies)](https://cloud.vast.ai/?ref_id=623364) As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you. ## Can-I-Run Pages Near 64 GB - [Nemotron 70B on Apple M1 Max](https://llmconfigurator.com/en/can-i-run/nemotron-70b-on-apple-m1-max) - [Nemotron 70B on Apple M5 Pro](https://llmconfigurator.com/en/can-i-run/nemotron-70b-on-apple-m5-pro) - [Qwen 2.5 Family on Apple M1 Max](https://llmconfigurator.com/en/can-i-run/qwen-2.5-on-apple-m1-max) - [Qwen 2.5 Family on Apple M5 Pro](https://llmconfigurator.com/en/can-i-run/qwen-2.5-on-apple-m5-pro) - [Llama 4 on Apple M1 Max](https://llmconfigurator.com/en/can-i-run/llama-4-on-apple-m1-max) - [Llama 4 on Apple M5 Pro](https://llmconfigurator.com/en/can-i-run/llama-4-on-apple-m5-pro) - [Qwen 2.5 VL on Apple M1 Max](https://llmconfigurator.com/en/can-i-run/qwen-2.5-vl-on-apple-m1-max) - [Qwen 2.5 VL on Apple M5 Pro](https://llmconfigurator.com/en/can-i-run/qwen-2.5-vl-on-apple-m5-pro) ## Adjacent VRAM Tiers - [Best LLMs for 48 GB VRAM](https://llmconfigurator.com/en/vram/48gb) - [Best LLMs for 80 GB VRAM](https://llmconfigurator.com/en/vram/80gb) ## No discrete GPU? - [If your 64 GB is system RAM, not VRAM](https://llmconfigurator.com/en/reports/best-small-llms-8gb-16gb-ram-laptops) ## Long Context - [How much extra memory long context needs](https://llmconfigurator.com/en/tools/kv-cache-calculator) ## Buying Guide - [Best GPU Buyer Guide 2026](https://llmconfigurator.com/en/guides/best-gpu-buyer-guide)
## Media
1. image: https://social-archiver-api.social-archive.org/media/archives/hanshelder/WwhtQ8fb88/media/0.webp