readygpu

NVIDIA GeForce RTX 3080 10GB vs NVIDIA GeForce RTX 5060 Ti 16GB

For running models locally, priced in Canada. At 8k context the first runs 26 models fully in memory, the second 40.

In short

The NVIDIA GeForce RTX 5060 Ti 16GB has more memory for models: 16 GB against 10 GB. At 8k context the NVIDIA GeForce RTX 5060 Ti 16GB runs 40 of the models we track fully in memory and the NVIDIA GeForce RTX 3080 10GB 26; only the NVIDIA GeForce RTX 5060 Ti 16GB holds Devstral Small 2 24B. On the models both run fully in memory, the NVIDIA GeForce RTX 3080 10GB is about 1.7× as fast as the NVIDIA GeForce RTX 5060 Ti 16GB (estimated, median across models). In Canada the NVIDIA GeForce RTX 3080 10GB costs $850 at eBay and the NVIDIA GeForce RTX 5060 Ti 16GB $1,120 at Amazon: the NVIDIA GeForce RTX 3080 10GB is $270 cheaper.

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

NVIDIA GeForce RTX 3080 10GB

$850

eBay

Add to build
NVIDIA GeForce RTX 5060 Ti 16GB

$1,120

Amazon

Add to build

Specifications

SpecNVIDIA GeForce RTX 3080 10GBNVIDIA GeForce RTX 5060 Ti 16GB
GPUGeForce RTX 3080 10GBGeForce RTX 5060 Ti 16GB
Memory10 GB GDDR6X16 GB GDDR7
Memory bus320-bit128-bit
Memory bandwidth760 GB/s448 GB/s
FP16 compute59.5 TFLOPS47 TFLOPS
SoftwareCUDACUDA
Board power320 W180 W
PCIe generationGen 4Gen 5
PCIe lanesx16x8

What each runs

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

ModelNVIDIA GeForce RTX 3080 10GBNVIDIA GeForce RTX 5060 Ti 16GB
Devstral Small 2 24Boffload18tok/sQ4_K_M
gpt-oss 20Boffload63tok/sMXFP4
Gemma 4 12B53tok/sQ5_K_M21tok/sQ8_0
Qwen 3.5 9B61tok/sQ6_K28tok/sQ8_0
Mistral Small 3.2 24Boffload18tok/sQ4_K_M
Ministral 3 14Boffload18tok/sQ8_0
Qwen3 14Boffload21tok/sQ6_K
DeepSeek R1 0528 Qwen3 8B59tok/sQ6_K28tok/sQ8_0
Qwen3 8B59tok/sQ6_K28tok/sQ8_0
Phi-4 14Boffload20tok/sQ6_K
Qwen 3.5 4B98tok/sQ8_058tok/sQ8_0
Ministral 3 8B58tok/sQ6_K27tok/sQ8_0
Granite 4.2 8B53tok/sQ6_K26tok/sQ8_0
Gemma 4 E4B56tok/sQ8_033tok/sQ8_0
LFM2.5 8B-A1B228tok/sUD-Q6_K114tok/sQ8_0
Llama 3.1 8B61tok/sQ6_K36tok/sQ6_K
Qwen2.5 0.5B746tok/sQ8_0440tok/sQ8_0
Qwen3.5 0.8B506tok/sQ8_0298tok/sQ8_0
Qwen3.5 2B303tok/sQ5_K_M179tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B221tok/sQ8_0130tok/sQ8_0
MiniCPM5 2B155tok/sQ8_092tok/sQ8_0
Mellum2.1 12B A2.5B Thinking143tok/sQ4_K_M59tok/sQ8_0
LFM2.5 2.6B140tok/sQ8_082tok/sQ8_0
LFM2.5 VL 3B140tok/sQ8_082tok/sQ8_0
Spark X2.5 4B139tok/smlx-4bit82tok/smlx-4bit
granite vision 4.1 4b110tok/sQ8_065tok/sQ8_0
granite 4.2 3b103tok/sQ8_061tok/sQ8_0
GLM 4.6V Flash73tok/sQ4_K_M27tok/sQ8_0
Ministral 3 8B Reasoning 251265tok/sQ5_K_M27tok/sQ8_0
DeepSeek R1 Distill Llama 8B61tok/sQ6_K29tok/sQ8_0
DeepSeek R1 Distill Qwen 7B55tok/sQ8_032tok/sQ8_0
GLM 4 9B 041455tok/smlx-5bit32tok/smlx-5bit
Kimi VL A3B Thinking 2506offload76tok/sQ4_K_M
Kimi VL A3Boffload60tok/smlx-6bit
DeepSeek R1 Distill Qwen 14Boffload20tok/sQ6_K
GLM 4.1V 9B Thinkingoffload23tok/smlx-8bit
Devstral Small 2507offload18tok/sQ4_K_M
Magistral Small 2506offload18tok/sQ4_K_M
Magistral Small 2507offload18tok/sQ4_K_M
Magistral Small 2509offload18tok/sQ4_K_M
Qwen 3.8 27Boffloadoffload
Qwen 3.5 122B-A10Bwon't runoffload
Qwen 3.6 27Boffloadoffload
Gemma 4 31Boffloadoffload
Mistral Small 4 119Bwon't runoffload
Qwen 3.6 35B-A3Boffloadoffload
Qwen 3.5 27Boffloadoffload
Gemma 4 26B-A4Boffloadoffload
Qwen 3.5 35B-A3Boffloadoffload
GLM 4.7 Flashoffloadoffload
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
Qwen3 Coder 30B-A3Boffloadoffload
Qwen3 32Boffloadoffload
Gemma 3 27Boffloadoffload
DeepSeek R1 Distill Qwen 32Boffloadoffload
LFM2.5 24B A2Boffloadoffload
granite 4.2 30boffloadoffload
Qwen3.8 27B OBLITERATEDoffloadoffload
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
Qwen3 Coder Nextwon't runwon't run
gpt-oss 120Bwon't runwon't run
GLM 4.5 Airwon't runwon't run
Qwen3 Next 80B-A3Bwon'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 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 4.5Vwon'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 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 3080 10GB or the NVIDIA GeForce RTX 5060 Ti 16GB?
Choose the NVIDIA GeForce RTX 5060 Ti 16GB to run bigger models. Choose the NVIDIA GeForce RTX 3080 10GB for speed. Choose the NVIDIA GeForce RTX 3080 10GB to spend less.
Which can run bigger models, the NVIDIA GeForce RTX 3080 10GB or the NVIDIA GeForce RTX 5060 Ti 16GB?
At 8k context the NVIDIA GeForce RTX 5060 Ti 16GB runs 40 of the models we track fully in memory and the NVIDIA GeForce RTX 3080 10GB 26; only the NVIDIA GeForce RTX 5060 Ti 16GB holds Devstral Small 2 24B.
Which is faster for local AI, the NVIDIA GeForce RTX 3080 10GB or the NVIDIA GeForce RTX 5060 Ti 16GB?
On the models both run fully in memory, the NVIDIA GeForce RTX 3080 10GB is about 1.7× as fast as the NVIDIA GeForce RTX 5060 Ti 16GB (estimated, median across models).
What is the price difference between the NVIDIA GeForce RTX 3080 10GB and the NVIDIA GeForce RTX 5060 Ti 16GB?
In Canada the NVIDIA GeForce RTX 3080 10GB costs $850 at eBay and the NVIDIA GeForce RTX 5060 Ti 16GB $1,120 at Amazon: the NVIDIA GeForce RTX 3080 10GB is $270 cheaper.

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