NVIDIA GeForce RTX 5060 Ti 8GB vs NVIDIA GeForce RTX 5090

For running models locally, priced in the UK. At 64k context the first runs 11 models fully in memory, the second 59.

In short

The NVIDIA GeForce RTX 5090 has more memory for models: 32 GB against 8 GB. At 64k context the NVIDIA GeForce RTX 5090 runs 59 of the models we track fully in memory and the NVIDIA GeForce RTX 5060 Ti 8GB 11; only the NVIDIA GeForce RTX 5090 holds Qwen 3.8 27B. On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 4.0× as fast as the NVIDIA GeForce RTX 5060 Ti 8GB (estimated, median across models). In the UK the NVIDIA GeForce RTX 5060 Ti 8GB costs £505 at eBay and the NVIDIA GeForce RTX 5090 £5,500 at eBay: the NVIDIA GeForce RTX 5060 Ti 8GB is £4,995 cheaper.

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

Specifications

SpecNVIDIA GeForce RTX 5060 Ti 8GBNVIDIA GeForce RTX 5090
GPUGeForce RTX 5060 Ti 8GBGeForce RTX 5090
Memory8 GB GDDR732 GB GDDR7
Memory bus128-bit512-bit
Memory bandwidth448 GB/s1,792 GB/s
FP16 compute23.704 TFLOPS209 TFLOPS
SoftwareCUDACUDA
Board power180 W575 W
PCIe generationGen 5Gen 5
PCIe lanesx8x16

What each runs

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

ModelNVIDIA GeForce RTX 5060 Ti 8GBNVIDIA GeForce RTX 5090
Qwen 3.8 27Boffload39tok/sQ6_K
Qwen 3.6 27Boffload41tok/sQ6_K
Gemma 4 31Boffload35tok/sQ6_K
Qwen 3.6 35B-A3Boffload167tok/sQ6_K
Qwen 3.5 27Boffload41tok/sQ6_K
Gemma 4 26B-A4Boffload117tok/sQ8_0
Qwen 3.5 35B-A3Boffload175tok/sQ6_K
GLM 4.7 Flashoffload87tok/sQ6_K
Devstral Small 2 24Boffload37tok/sQ6_K
Nemotron 3.5 Lightning 30B-A3Boffload201tok/sUD-Q5_K_M
Kimi Linear 48B-A3Boffload277tok/sQ4_K_M
gpt-oss 20Boffload165tok/sMXFP4
Qwen3 Coder 30B-A3Boffload75tok/sQ6_K
Gemma 4 12Boffload79tok/sQ8_0
Qwen 3.5 9Boffload95tok/sQ8_0
Gemma 3 27Boffload40tok/sQ6_K
Mistral Small 3.2 24Boffload37tok/sQ6_K
Ministral 3 14Boffload44tok/sQ8_0
Qwen3 14Boffload42tok/sQ8_0
DeepSeek R1 0528 Qwen3 8Boffload61tok/sQ8_0
Qwen3 8Boffload61tok/sQ8_0
Phi-4 14Boffload38tok/sQ8_0
Qwen 3.5 4B42tok/sQ8_0166tok/sQ8_0
Ministral 3 8Boffload61tok/sQ8_0
Granite 4.2 8Boffload55tok/sQ8_0
Gemma 4 E4Boffload110tok/sQ8_0
LFM2.5 8B-A1Boffload156tok/sQ8_0
Llama 3.1 8Boffload73tok/sQ6_K
Qwen2.5 0.5B208tok/sQ8_0831tok/sQ8_0
Qwen3.5 0.8B170tok/sQ8_0679tok/sQ8_0
Qwen3.5 2B123tok/sQ5_K_M492tok/sQ5_K_M
LFM3 1.7B104tok/sQ8_0418tok/sQ8_0
DeepSeek R1 Distill Qwen 1.5B74tok/sQ8_0294tok/sQ8_0
MiniCPM5 2B51tok/sQ8_0202tok/sQ8_0
Spark X2.5 4B50tok/smlx-4bit202tok/smlx-4bit
FrogNano 4B 260947tok/sQ6_K163tok/sQ8_0
LFM2.5 2.6B45tok/sQ6_K161tok/sQ8_0
LFM2.5 VL 3B45tok/sQ6_K161tok/sQ8_0
granite vision 4.1 4boffload124tok/sQ8_0
Mellum2.1 12B A2.5B Thinkingoffload183tok/sQ8_0
granite 4.2 3boffload120tok/sQ8_0
DeepSeek R1 Distill Qwen 7Boffload94tok/sQ8_0
GLM 4.6V Flashoffload88tok/sQ8_0
Ministral 3 3B Instruct 2512offload105tok/sQ8_0
Kimi VL A3B Thinking 2506offload130tok/sQ8_0
Kimi VL A3Boffload126tok/smlx-8bit
GLM 4 9B 0414offload102tok/smlx-5bit
DeepSeek R1 Distill Llama 8Boffload65tok/sQ8_0
LFM2.5 24B A2Boffload89tok/sQ8_0
Ministral 3 8B Reasoning 2512offload61tok/sQ8_0
GLM 4.1V 9B Thinkingoffload77tok/smlx-8bit
Muse Glimmer 30Boffload46tok/sQ6_K
Ministral 3 14B Reasoning 2512offload44tok/sQ8_0
DeepSeek R1 Distill Qwen 14Boffload39tok/sQ8_0
Devstral Small 2507offload40tok/sQ5_K_M
Magistral Small 2506offload37tok/sQ6_K
Magistral Small 2507offload40tok/sQ5_K_M
Magistral Small 2509offload40tok/sQ5_K_M
Qwen3.8 27B OBLITERATEDoffload44tok/smlx-4bit
Qwen 3.5 122B-A10Bwon't runoffload
Nemotron 3 Super 120B-A12Bwon't runoffload
Qwen3 Coder Nextwon't runoffload
Mistral Small 4 119Bwon't runoffload
GLM 4.5 Airwon't runoffload
Qwen3 Next 80B-A3Bwon't runoffload
Qwen3 32Bwon't runoffload
DeepSeek R1 Distill Qwen 32Bwon't runoffload
granite 4.2 30bwon't runoffload
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
gpt-oss 120Bwon'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 R1 Zerowon't runwon't run
DeepSeek V3won't runwon't run
DeepSeek V3 0324won't runwon't run
DeepSeek V3.1won't runwon't run
DeepSeek V3.1 Terminuswon'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 4.5won't runwon't run
GLM 4.5Vwon't runwon't run
GLM 4.6won't runwon't run
GLM 4.6Vwon't runwon't run
GLM 4.7won't runwon't run
GLM 5won'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 Dev 72Bwon'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 5060 Ti 8GB or the NVIDIA GeForce RTX 5090?
Choose the NVIDIA GeForce RTX 5090 to run bigger models. Choose the NVIDIA GeForce RTX 5090 for speed. Choose the NVIDIA GeForce RTX 5060 Ti 8GB to spend less.
Which can run bigger models, the NVIDIA GeForce RTX 5060 Ti 8GB or the NVIDIA GeForce RTX 5090?
At 64k context the NVIDIA GeForce RTX 5090 runs 59 of the models we track fully in memory and the NVIDIA GeForce RTX 5060 Ti 8GB 11; only the NVIDIA GeForce RTX 5090 holds Qwen 3.8 27B.
Which is faster for local AI, the NVIDIA GeForce RTX 5060 Ti 8GB or the NVIDIA GeForce RTX 5090?
On the models both run fully in memory, the NVIDIA GeForce RTX 5090 is about 4.0× as fast as the NVIDIA GeForce RTX 5060 Ti 8GB (estimated, median across models).
What is the price difference between the NVIDIA GeForce RTX 5060 Ti 8GB and the NVIDIA GeForce RTX 5090?
In the UK the NVIDIA GeForce RTX 5060 Ti 8GB costs £505 at eBay and the NVIDIA GeForce RTX 5090 £5,500 at eBay: the NVIDIA GeForce RTX 5060 Ti 8GB is £4,995 cheaper.

More comparisons

More hardware for local AI