readygpu

NVIDIA GeForce RTX 4090 vs NVIDIA GeForce RTX 5080

For running models locally, priced in the US. At 64k context the first runs 40 models fully in memory, the second 26.

In short

The NVIDIA GeForce RTX 4090 has more memory for models: 24 GB against 16 GB. At 64k context the NVIDIA GeForce RTX 4090 runs 40 of the models we track fully in memory and the NVIDIA GeForce RTX 5080 26; only the NVIDIA GeForce RTX 4090 holds Qwen 3.8 27B. On the models both run fully in memory, the NVIDIA GeForce RTX 4090 and the NVIDIA GeForce RTX 5080 are about as fast as each other (estimated). In the US the NVIDIA GeForce RTX 4090 costs $2,073 at eBay and the NVIDIA GeForce RTX 5080 $1,600 at eBay: the NVIDIA GeForce RTX 5080 is $473 cheaper.

Updated . Speeds are estimates; how they are worked out.

NVIDIA GeForce RTX 4090

$2,073

eBay

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NVIDIA GeForce RTX 5080

$1,600

eBay

Add to build

Specifications

SpecNVIDIA GeForce RTX 4090NVIDIA GeForce RTX 5080
GPUGeForce RTX 4090GeForce RTX 5080
Memory24 GB GDDR6X16 GB GDDR7
Memory bus384-bit256-bit
Memory bandwidth1,008 GB/s960 GB/s
FP16 compute165 TFLOPS113 TFLOPS
SoftwareCUDACUDA
Board power450 W360 W
PCIe generationGen 4Gen 5
PCIe lanesx16x16

What each runs

Estimated decode speed with the most precise quant that fits each one est.

ModelNVIDIA GeForce RTX 4090NVIDIA GeForce RTX 5080
Qwen 3.8 27B29tok/sQ4_K_Moffload
Qwen 3.6 27B26tok/sQ5_K_Moffload
Qwen 3.6 35B-A3B115tok/sQ4_K_Moffload
Qwen 3.5 27B30tok/sQ4_K_Moffload
Gemma 4 26B-A4B78tok/sUD-Q5_K_Moffload
Qwen 3.5 35B-A3B116tok/sQ4_K_Moffload
GLM 4.7 Flash57tok/sQ4_K_Moffload
gpt-oss 20B93tok/sMXFP488tok/sMXFP4
Gemma 4 12B44tok/sQ8_042tok/sQ8_0
Qwen 3.5 9B53tok/sQ8_051tok/sQ8_0
Gemma 3 27B28tok/sQ4_K_Moffload
Ministral 3 14B29tok/sQ6_Koffload
Qwen3 14B27tok/sQ6_Koffload
DeepSeek R1 0528 Qwen3 8B34tok/sQ8_041tok/sQ4_K_M
Qwen3 8B34tok/sQ8_041tok/sQ4_K_M
Phi-4 14B26tok/sQ5_K_Moffload
Qwen 3.5 4B94tok/sQ8_089tok/sQ8_0
Ministral 3 8B34tok/sQ8_039tok/sQ5_K_M
Granite 4.2 8B31tok/sQ8_0offload
Gemma 4 E4B62tok/sQ8_059tok/sQ8_0
LFM2.5 8B-A1B88tok/sQ8_083tok/sQ8_0
Llama 3.1 8B41tok/sQ6_K39tok/sQ6_K
Qwen2.5 0.5B468tok/sQ8_0445tok/sQ8_0
Qwen3.5 0.8B382tok/sQ8_0364tok/sQ8_0
Qwen3.5 2B277tok/sQ5_K_M263tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B166tok/sQ8_0158tok/sQ8_0
MiniCPM5 2B114tok/sQ8_0108tok/sQ8_0
Mellum2.1 12B A2.5B Thinking103tok/sQ8_098tok/sQ8_0
LFM2.5 2.6B91tok/sQ8_086tok/sQ8_0
LFM2.5 VL 3B91tok/sQ8_086tok/sQ8_0
Kimi VL A3B71tok/smlx-8bit85tok/smlx-5bit
granite vision 4.1 4b70tok/sQ8_066tok/sQ8_0
granite 4.2 3b68tok/sQ8_064tok/sQ8_0
LFM2.5 24B A2B54tok/sQ5_K_Moffload
DeepSeek R1 Distill Qwen 7B53tok/sQ8_050tok/sQ8_0
GLM 4.6V Flash49tok/sQ8_047tok/sQ8_0
GLM 4.1V 9B Thinking43tok/smlx-8bit41tok/smlx-8bit
DeepSeek R1 Distill Llama 8B37tok/sQ8_039tok/sQ6_K
Ministral 3 8B Reasoning 251234tok/sQ8_039tok/sQ5_K_M
DeepSeek R1 Distill Qwen 14B27tok/sQ5_K_Moffload
Qwen 3.5 122B-A10Boffloadwon't run
Gemma 4 31Boffloadoffload
Qwen3 Coder Nextoffloadwon't run
Mistral Small 4 119Boffloadoffload
Devstral Small 2 24Boffloadoffload
Qwen3 Next 80B-A3Boffloadwon't run
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
Qwen3 Coder 30B-A3Boffloadoffload
Qwen3 32Boffloadoffload
Mistral Small 3.2 24Boffloadoffload
DeepSeek R1 Distill Qwen 32Boffloadoffload
Devstral Small 2507offloadoffload
Magistral Small 2506offloadoffload
Magistral Small 2507offloadoffload
Magistral Small 2509offloadoffload
granite 4.2 30boffloadoffload
DeepSeek V4 Flashwon't runwon't run
GLM 5.3 Flashwon't runwon't run
Qwen 3.8 Flash Nextwon't runwon't run
MiniMax M2.7won't runwon't run
Nemotron 3 Super 120B-A12Bwon't runwon't run
gpt-oss 120Bwon't runwon't run
GLM 4.5 Airwon't runwon't run
Llama 3.3 70Bwon't runwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won't runwon't run
DeepSeek R1 Distill Llama 70Bwon't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.2won't runwon't run
DeepSeek V4 Flash 0731won't runwon't run
DeepSeek V4 Flash Vision Expwon't runwon't run
Devstral 2 123B Instruct 2512won't runwon't run
GLM 4.5Vwon't runwon't run
GLM 4.6Vwon't runwon't run
GLM 4.7won't runwon't run
GLM 5.1won't runwon't run
GLM 5.2won't runwon't run
GLM 5.3won't runwon't run
Kimi K2won't runwon't run
Kimi K2 Instruct 0905won't runwon't run
Kimi K2 Thinkingwon't runwon't run
Kimi K2.5won't runwon't run
MiniMax M2won't runwon't run
MiniMax M2.1won't runwon't run
MiniMax M2.5won't runwon't run
MiniMax M3won't runwon't run
Mistral Medium 3.5 128Bwon't runwon't run

Questions

Which is better for local AI, the NVIDIA GeForce RTX 4090 or the NVIDIA GeForce RTX 5080?
Choose the NVIDIA GeForce RTX 4090 to run bigger models. Choose the NVIDIA GeForce RTX 5080 to spend less.
Which can run bigger models, the NVIDIA GeForce RTX 4090 or the NVIDIA GeForce RTX 5080?
At 64k context the NVIDIA GeForce RTX 4090 runs 40 of the models we track fully in memory and the NVIDIA GeForce RTX 5080 26; only the NVIDIA GeForce RTX 4090 holds Qwen 3.8 27B.
Which is faster for local AI, the NVIDIA GeForce RTX 4090 or the NVIDIA GeForce RTX 5080?
On the models both run fully in memory, the NVIDIA GeForce RTX 4090 and the NVIDIA GeForce RTX 5080 are about as fast as each other (estimated).
What is the price difference between the NVIDIA GeForce RTX 4090 and the NVIDIA GeForce RTX 5080?
In the US the NVIDIA GeForce RTX 4090 costs $2,073 at eBay and the NVIDIA GeForce RTX 5080 $1,600 at eBay: the NVIDIA GeForce RTX 5080 is $473 cheaper.

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