NVIDIA GeForce RTX 5080 vs AMD Radeon RX 9070

For running models locally, priced in Germany. At 64k context the first runs 31 models fully in memory, the second 31.

In short

Both have 16 GB of memory for models; the NVIDIA GeForce RTX 5080 has 960 GB/s of bandwidth and the AMD Radeon RX 9070 640 GB/s. At 64k context both run the same 31 models we track fully in memory. On the models both run fully in memory, the NVIDIA GeForce RTX 5080 is about 1.7× as fast as the AMD Radeon RX 9070 (estimated, median across models). In Germany the NVIDIA GeForce RTX 5080 costs 1.650 € at eBay and the AMD Radeon RX 9070 750 € at eBay: the AMD Radeon RX 9070 is 900 € cheaper.

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

Specifications

SpecNVIDIA GeForce RTX 5080AMD Radeon RX 9070
GPUGeForce RTX 5080Radeon RX 9070
Memory16 GB GDDR716 GB GDDR6
Memory bus256-bit256-bit
Memory bandwidth960 GB/s640 GB/s
FP16 compute113 TFLOPS36.1 TFLOPS
SoftwareCUDAROCm
Board power360 W220 W
PCIe generationGen 5Gen 5
PCIe lanesx16x16

What each runs

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

ModelNVIDIA GeForce RTX 5080AMD Radeon RX 9070
gpt-oss 20B88tok/sMXFP452tok/sMXFP4
Gemma 4 12B42tok/sQ8_025tok/sQ8_0
Qwen 3.5 9B51tok/sQ8_030tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B41tok/sQ4_K_M24tok/sQ4_K_M
Qwen3 8B41tok/sQ4_K_M24tok/sQ4_K_M
Qwen 3.5 4B89tok/sQ8_053tok/sQ8_0
Ministral 3 8B39tok/sQ5_K_M25tok/sQ4_K_M
Gemma 4 E4B59tok/sQ8_035tok/sQ8_0
LFM2.5 8B-A1B83tok/sQ8_049tok/sQ8_0
Llama 3.1 8B39tok/sQ6_K25tok/sQ5_K_M
Qwen2.5 0.5B445tok/sQ8_0263tok/sQ8_0
Qwen3.5 0.8B364tok/sQ8_0215tok/sQ8_0
Qwen3.5 2B263tok/sQ5_K_M156tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B158tok/sQ8_093tok/sQ8_0
MiniCPM5 2B108tok/sQ8_064tok/sQ8_0
Spark X2.5 4B108tok/smlx-4bit64tok/smlx-4bit
Mellum2.1 12B A2.5B Thinking98tok/sQ8_058tok/sQ8_0
Kimi VL A3B Thinking 250690tok/sQ4_K_M53tok/sQ4_K_M
FrogNano 4B 260987tok/sQ8_052tok/sQ8_0
LFM2.5 2.6B86tok/sQ8_051tok/sQ8_0
LFM2.5 VL 3B86tok/sQ8_051tok/sQ8_0
Kimi VL A3B85tok/smlx-5bit50tok/smlx-5bit
granite vision 4.1 4b66tok/sQ8_039tok/sQ8_0
granite 4.2 3b64tok/sQ8_038tok/sQ8_0
Ministral 3 3B Instruct 251256tok/sQ8_033tok/sQ8_0
GLM 4 9B 041454tok/smlx-5bit32tok/smlx-5bit
DeepSeek R1 Distill Qwen 7B50tok/sQ8_030tok/sQ8_0
GLM 4.6V Flash47tok/sQ8_028tok/sQ8_0
GLM 4.1V 9B Thinking41tok/smlx-8bit24tok/smlx-8bit
DeepSeek R1 Distill Llama 8B39tok/sQ6_K25tok/sQ5_K_M
Ministral 3 8B Reasoning 251239tok/sQ5_K_M25tok/sQ4_K_M
Qwen 3.8 27Boffloadoffload
Qwen 3.6 27Boffloadoffload
Gemma 4 31Boffloadoffload
Mistral Small 4 119Boffloadoffload
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
Qwen3 Coder 30B-A3Boffloadoffload
Qwen3 32Boffloadoffload
Gemma 3 27Boffloadoffload
Mistral Small 3.2 24Boffloadoffload
DeepSeek R1 Distill Qwen 32Boffloadoffload
Ministral 3 14Boffloadoffload
Qwen3 14Boffloadoffload
Phi-4 14Boffloadoffload
Granite 4.2 8Boffloadoffload
LFM2.5 24B A2Boffloadoffload
Muse Glimmer 30Boffloadoffload
Ministral 3 14B Reasoning 2512offloadoffload
DeepSeek R1 Distill Qwen 14Boffloadoffload
Devstral Small 2507offloadoffload
Magistral Small 2506offloadoffload
Magistral Small 2507offloadoffload
Magistral Small 2509offloadoffload
Qwen3.8 27B OBLITERATEDoffloadoffload
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
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
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 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 5080 or the AMD Radeon RX 9070?
Choose the NVIDIA GeForce RTX 5080 for speed. Choose the AMD Radeon RX 9070 to spend less.
Which can run bigger models, the NVIDIA GeForce RTX 5080 or the AMD Radeon RX 9070?
At 64k context both run the same 31 models we track fully in memory.
Which is faster for local AI, the NVIDIA GeForce RTX 5080 or the AMD Radeon RX 9070?
On the models both run fully in memory, the NVIDIA GeForce RTX 5080 is about 1.7× as fast as the AMD Radeon RX 9070 (estimated, median across models).
What is the price difference between the NVIDIA GeForce RTX 5080 and the AMD Radeon RX 9070?
In Germany the NVIDIA GeForce RTX 5080 costs 1.650 € at eBay and the AMD Radeon RX 9070 750 € at eBay: the AMD Radeon RX 9070 is 900 € cheaper.

More comparisons

More hardware for local AI