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NVIDIA GeForce RTX 3080 10GB vs NVIDIA GeForce RTX 4070 Super

For running models locally, priced in the US. At 128k context the first runs 6 models fully in memory, the second 11.

In short

The NVIDIA GeForce RTX 4070 Super has more memory for models: 12 GB against 10 GB. At 128k context the NVIDIA GeForce RTX 4070 Super runs 11 of the models we track fully in memory and the NVIDIA GeForce RTX 3080 10GB 6; only the NVIDIA GeForce RTX 4070 Super holds Gemma 4 12B. On the models both run fully in memory, the NVIDIA GeForce RTX 3080 10GB is about 1.5× as fast as the NVIDIA GeForce RTX 4070 Super (estimated, median across models). In the US the NVIDIA GeForce RTX 3080 10GB costs $469 at Amazon and the NVIDIA GeForce RTX 4070 Super $480 at Amazon: the NVIDIA GeForce RTX 3080 10GB is $11 cheaper.

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

NVIDIA GeForce RTX 3080 10GB

$469

Amazon

Add to build
NVIDIA GeForce RTX 4070 Super

$480

Amazon

Add to build

Specifications

SpecNVIDIA GeForce RTX 3080 10GBNVIDIA GeForce RTX 4070 Super
GPUGeForce RTX 3080 10GBGeForce RTX 4070 Super
Memory10 GB GDDR6X12 GB GDDR6X
Memory bus320-bit192-bit
Memory bandwidth760 GB/s504 GB/s
FP16 compute59.5 TFLOPS71 TFLOPS
SoftwareCUDACUDA
Board power320 W220 W
PCIe generationGen 4Gen 4
PCIe lanesx16x16

What each runs

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

ModelNVIDIA GeForce RTX 3080 10GBNVIDIA GeForce RTX 4070 Super
Gemma 4 12Boffload33tok/sQ4_K_M
Qwen 3.5 9Boffload31tok/sQ4_K_M
Qwen 3.5 4B60tok/sQ6_K35tok/sQ8_0
Gemma 4 E4Boffload34tok/sQ5_K_M
Qwen2.5 0.5B220tok/sQ8_0146tok/sQ8_0
Qwen3.5 0.8B193tok/sQ8_0128tok/sQ8_0
Qwen3.5 2B154tok/sQ5_K_M102tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B83tok/sQ8_055tok/sQ8_0
MiniCPM5 2B57tok/sQ8_038tok/sQ8_0
LFM2.5 2.6Boffload30tok/sQ6_K
LFM2.5 VL 3Boffload30tok/sQ6_K
Qwen 3.8 27Boffloadoffload
Qwen 3.6 27Boffloadoffload
Gemma 4 31Boffloadoffload
Qwen 3.6 35B-A3Boffloadoffload
Qwen 3.5 27Boffloadoffload
Gemma 4 26B-A4Boffloadoffload
Qwen 3.5 35B-A3Boffloadoffload
GLM 4.7 Flashoffloadoffload
Devstral Small 2 24Boffloadoffload
Nemotron 3.5 Lightning 30B-A3Boffloadoffload
Kimi Linear 48B-A3Boffloadoffload
gpt-oss 20Boffloadoffload
Qwen3 Coder 30B-A3Boffloadoffload
Gemma 3 27Boffloadoffload
Mistral Small 3.2 24Boffloadoffload
Ministral 3 14Boffloadoffload
Qwen3 14Boffloadoffload
DeepSeek R1 0528 Qwen3 8Boffloadoffload
Qwen3 8Boffloadoffload
Phi-4 14Boffloadoffload
Ministral 3 8Boffloadoffload
Granite 4.2 8Boffloadoffload
LFM2.5 8B-A1Boffloadoffload
Llama 3.1 8Boffloadoffload
Mellum2.1 12B A2.5B Thinkingoffloadoffload
GLM 4.6V Flashoffloadoffload
DeepSeek R1 Distill Qwen 7Boffloadoffload
granite vision 4.1 4boffloadoffload
Kimi VL A3Boffloadoffload
granite 4.2 3boffloadoffload
GLM 4.1V 9B Thinkingoffloadoffload
LFM2.5 24B A2Boffloadoffload
DeepSeek R1 Distill Llama 8Boffloadoffload
Ministral 3 8B Reasoning 2512offloadoffload
DeepSeek R1 Distill Qwen 14Boffloadoffload
Devstral Small 2507offloadoffload
Magistral Small 2506offloadoffload
Magistral Small 2507offloadoffload
Magistral Small 2509offloadoffload
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
Qwen 3.5 122B-A10Bwon'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
Mistral Small 4 119Bwon't runwon't run
GLM 4.5 Airwon't runwon't run
Qwen3 Next 80B-A3Bwon't runwon't run
Qwen3 32Bwon't runwon't run
DeepSeek R1 Distill Qwen 32Bwon'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
granite 4.2 30bwon't runwon't run

Questions

Which is better for local AI, the NVIDIA GeForce RTX 3080 10GB or the NVIDIA GeForce RTX 4070 Super?
Choose the NVIDIA GeForce RTX 4070 Super 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 4070 Super?
At 128k context the NVIDIA GeForce RTX 4070 Super runs 11 of the models we track fully in memory and the NVIDIA GeForce RTX 3080 10GB 6; only the NVIDIA GeForce RTX 4070 Super holds Gemma 4 12B.
Which is faster for local AI, the NVIDIA GeForce RTX 3080 10GB or the NVIDIA GeForce RTX 4070 Super?
On the models both run fully in memory, the NVIDIA GeForce RTX 3080 10GB is about 1.5× as fast as the NVIDIA GeForce RTX 4070 Super (estimated, median across models).
What is the price difference between the NVIDIA GeForce RTX 3080 10GB and the NVIDIA GeForce RTX 4070 Super?
In the US the NVIDIA GeForce RTX 3080 10GB costs $469 at Amazon and the NVIDIA GeForce RTX 4070 Super $480 at Amazon: the NVIDIA GeForce RTX 3080 10GB is $11 cheaper.

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