OnPrem World地端世界

GeForce RTX 4090

NVIDIA GeForce RTX 4090: 24 GB of memory at 1008 GB/s. Below: the open models it can run, estimated at 24 GB with an 8K context. 24 GB of VRAM at 1,008 GB/s: it runs 27–32B dense models at 4-bit, and MoE models with about 3B active parameters generate quickly.

Last updated: 2026-10-14

Specifications

Memory24 GB GDDR6X[src]
Memory bandwidth1008 GB/s[src]
Power450 W[src]
Launch2022-10[src]
Launch priceUS$1,599[src]
ArchitectureAda Lovelace[src]
SoftwareCUDA

What it can run

Best-quality quantization that fits with a 8K context, and the estimated generation speed. Estimates, not benchmarks. See the methodology.

ModelParamsBest quantMemorytok/s (est.)
Qwen3.5-35B-A3B35B (3B)Q4_K_M21.4 GiB388
Qwen3.6-35B-A3B35B (3B)Q4_K_M21.4 GiB388
Qwen3-32B32.8BQ4_K_M21.9 GiB35
DeepSeek-R1-Distill-Qwen-32B32.76BQ4_K_M21.9 GiB36
Gemma 4 31B IT30.7BQ5_K_M22.9 GiB32
Qwen3-30B-A3B (2507)30.5B (3.3B)Q5_K_M22.5 GiB301
Qwen3-Coder-30B-A3B-Instruct30.5B (3.3B)Q5_K_M22.5 GiB301
GLM-4.7-Flash (30B-A3B)30B (3B)Q5_K_M21.8 GiB331
Qwen3.5-27B27BQ6_K22.7 GiB32
Qwen3.6-27B27BQ6_K22.7 GiB32
Qwen3.8-27B27BQ6_K22.7 GiB32
Gemma 3 27B IT27BQ6_K23.3 GiB32
Gemma 4 26B A4B IT25.2B (3.8B)Q6_K21.1 GiB225
Mistral Small 3.2 24B Instruct (2506)24BQ6_K21.1 GiB36
Magistral Small 1.2 (2509)24BQ6_K21.1 GiB36
Devstral Small 2 24B Instruct (2512)24BQ6_K21.1 GiB36
gpt-oss-20b21B (3.6B)Q8_022.5 GiB184
Phi-4 (14B)14BQ8_016.6 GiB47
Gemma 3 12B IT12BQ8_013.8 GiB55
Gemma 4 12B Unified IT11.95BQ8_013.3 GiB56
Qwen3.5-9B9BFP1618.4 GiB39
Qwen3-8B8.2BFP1617.7 GiB43
DeepSeek-R1-0528-Qwen3-8B8.19BFP1617.6 GiB43
Llama 3.1 8B Instruct8BFP1617.1 GiB44
Gemma 4 E4B IT8BFP1616.4 GiB44
Llama 3.2 3B Instruct3.21BFP167.7 GiB110
Kimi K2.61000B (32B)Doesn't fit––
DeepSeek-R1-0528 (671B)671B (37B)Doesn't fit––
DeepSeek-V4-Flash284B (13B)Doesn't fit––
Qwen3.8-Flash-Next180B (6B)Doesn't fit––
Qwen3.5-122B-A10B122B (10B)Doesn't fit––
Mistral Small 4 119B (2603)119B (6.5B)Doesn't fit––
gpt-oss-120b117B (5.1B)Doesn't fit––
Llama 4 Scout 17B-16E Instruct109B (17B)Doesn't fit––
GLM-4.5-Air106B (12B)Doesn't fit––
Qwen3-Coder-Next (80B-A3B)80B (3B)Doesn't fit––
Llama 3.3 70B Instruct70BDoesn't fit––

Prices

Latest price at each shop, as listed on the day we checked.

RegionShopListingPricePer GBChecked
USNeweggAlliance Group (USA)MSI Gaming (MSI) GeForce RTX 4090 24GB GDDR6X PCI Express 4.0 Video Card RTX 4090 GAMING X TRIO 24GNewegg marketplace sellerUS$4,395US$183/GB2026-10-14
  • US value: about 145.5 tok/s on Llama 3.1 8B Instruct (Q4_K_M, 8K), or 3.3 tok/s per US$100.

A price history chart appears once we have checked this device on two or more days.

All prices →

Frequently asked questions

Which LLMs can the GeForce RTX 4090 run?

With 24 GB and an 8K context, the largest models that fit include: Qwen3.5-35B-A3B, Qwen3.6-35B-A3B, Qwen3-32B, DeepSeek-R1-Distill-Qwen-32B, Gemma 4 31B IT. See the full table below.

How fast is the GeForce RTX 4090 for local LLMs?

Generation speed is mostly set by memory bandwidth (1008 GB/s). For Llama 3.1 8B Instruct at FP16, expect roughly 44 tokens/s; bigger models are slower.

Can the GeForce RTX 4090 run 70B models?

Llama 3.3 70B Instruct does not fit on the GeForce RTX 4090 (24 GB), even at Q4_K_M with an 8K context.

Sources