NVIDIA GeForce RTX 5070 vs AMD Radeon RX 7900 XTX

For running models locally, priced in the UK. At 8k context the first runs 34 models fully in memory, the second 60.

In short

The AMD Radeon RX 7900 XTX has more memory for models: 24 GB against 12 GB. At 8k context the AMD Radeon RX 7900 XTX runs 60 of the models we track fully in memory and the NVIDIA GeForce RTX 5070 34; only the AMD Radeon RX 7900 XTX holds Qwen 3.8 27B. On the models both run fully in memory, the AMD Radeon RX 7900 XTX is about 1.3× as fast as the NVIDIA GeForce RTX 5070 (estimated, median across models). In the UK the NVIDIA GeForce RTX 5070 costs £750 at eBay and the AMD Radeon RX 7900 XTX £999 at eBay (used): the NVIDIA GeForce RTX 5070 is £249 cheaper.

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

Specifications

SpecNVIDIA GeForce RTX 5070AMD Radeon RX 7900 XTX
GPUGeForce RTX 5070Radeon RX 7900 XTX
Memory12 GB GDDR724 GB GDDR6
Memory bus192-bit384-bit
Memory bandwidth672 GB/s960 GB/s
FP16 compute62 TFLOPS123 TFLOPS
SoftwareCUDAROCm
Board power250 W355 W
PCIe generationGen 5Gen 4
PCIe lanesx16x16

What each runs

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

ModelNVIDIA GeForce RTX 5070AMD Radeon RX 7900 XTX
Qwen 3.8 27Boffload23tok/sUD-Q6_K
Qwen 3.6 27Boffload23tok/sQ6_K
Gemma 4 31Boffload23tok/sQ5_K_M
Qwen 3.6 35B-A3Boffload152tok/sQ4_K_M
Qwen 3.5 27Boffload23tok/sQ6_K
Gemma 4 26B-A4Boffload80tok/sUD-Q6_K
Qwen 3.5 35B-A3Boffload153tok/sQ4_K_M
GLM 4.7 Flashoffload79tok/sQ5_K_M
Devstral Small 2 24Boffload26tok/sQ6_K
Nemotron 3.5 Lightning 30B-A3Boffload138tok/sMXFP4
gpt-oss 20Boffload120tok/sMXFP4
Qwen3 Coder 30B-A3Boffload108tok/sQ5_K_M
Qwen3 32Boffload24tok/sQ4_K_M
Gemma 4 12B41tok/sQ6_K40tok/sQ8_0
Qwen 3.5 9B42tok/sQ8_054tok/sQ8_0
Mistral Small 3.2 24Boffload26tok/sQ6_K
Gemma 3 27Boffload23tok/sQ6_K
DeepSeek R1 Distill Qwen 32Boffload24tok/sQ4_K_M
Qwen3 14B40tok/sQ4_K_M31tok/sQ8_0
Ministral 3 14B38tok/sQ5_K_M34tok/sQ8_0
DeepSeek R1 0528 Qwen3 8B42tok/sQ8_053tok/sQ8_0
Qwen3 8B42tok/sQ8_053tok/sQ8_0
Phi-4 14B39tok/sQ4_K_M31tok/sQ8_0
Qwen 3.5 4B87tok/sQ8_0110tok/sQ8_0
Ministral 3 8B41tok/sQ8_052tok/sQ8_0
Granite 4.2 8B39tok/sQ8_049tok/sQ8_0
Gemma 4 E4B49tok/sQ8_062tok/sQ8_0
LFM2.5 8B-A1B170tok/sQ8_0216tok/sQ8_0
Llama 3.1 8B54tok/sQ6_K69tok/sQ6_K
Qwen2.5 0.5B660tok/sQ8_0836tok/sQ8_0
Qwen3.5 0.8B447tok/sQ8_0567tok/sQ8_0
Qwen3.5 2B268tok/sQ5_K_M340tok/sQ5_K_M
DeepSeek R1 Distill Qwen 1.5B196tok/sQ8_0248tok/sQ8_0
MiniCPM5 2B137tok/sQ8_0174tok/sQ8_0
LFM2.5 2.6B123tok/sQ8_0156tok/sQ8_0
LFM2.5 VL 3B123tok/sQ8_0156tok/sQ8_0
Spark X2.5 4B123tok/smlx-4bit155tok/smlx-4bit
Kimi VL A3B Thinking 2506115tok/sQ4_K_M94tok/sQ8_0
Mellum2.1 12B A2.5B Thinking113tok/sQ5_K_M112tok/sQ8_0
granite vision 4.1 4b97tok/sQ8_0123tok/sQ8_0
Ministral 3 3B Instruct 251292tok/sQ8_0117tok/sQ8_0
granite 4.2 3b91tok/sQ8_0116tok/sQ8_0
FrogNano 4B 260984tok/sQ8_0107tok/sQ8_0
DeepSeek R1 Distill Qwen 7B49tok/sQ8_062tok/sQ8_0
GLM 4 9B 041449tok/smlx-5bit62tok/smlx-5bit
DeepSeek R1 Distill Llama 8B43tok/sQ8_055tok/sQ8_0
Ministral 3 8B Reasoning 251241tok/sQ8_052tok/sQ8_0
GLM 4.6V Flash40tok/sQ8_051tok/sQ8_0
DeepSeek R1 Distill Qwen 14B39tok/sQ4_K_M31tok/sQ8_0
Ministral 3 14B Reasoning 251238tok/sQ5_K_M34tok/sQ8_0
Kimi VL A3Boffload90tok/smlx-8bit
LFM2.5 24B A2Boffload130tok/sQ6_K
GLM 4.1V 9B Thinkingoffload44tok/smlx-8bit
Devstral Small 2507offload29tok/sQ5_K_M
Magistral Small 2506offload26tok/sQ6_K
Magistral Small 2507offload29tok/sQ5_K_M
Magistral Small 2509offload29tok/sQ5_K_M
Muse Glimmer 30Boffload22tok/sQ6_K
granite 4.2 30boffload23tok/sQ5_K_M
Qwen3.8 27B OBLITERATEDoffload25tok/smlx-4bit
Qwen 3.5 122B-A10Bwon'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
Kimi Linear 48B-A3Boffloadoffload
Llama 3.3 70Bwon't runoffload
DeepSeek R1 Distill Llama 70Bwon'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
Nemotron 3 Super 120B-A12Bwon't runwon't run
gpt-oss 120Bwon't runwon't run
DeepSeek R1won't runwon't run
DeepSeek R1 0528won'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 5070 or the AMD Radeon RX 7900 XTX?
Choose the AMD Radeon RX 7900 XTX to run bigger models. Choose the AMD Radeon RX 7900 XTX for speed. Choose the NVIDIA GeForce RTX 5070 to spend less.
Which can run bigger models, the NVIDIA GeForce RTX 5070 or the AMD Radeon RX 7900 XTX?
At 8k context the AMD Radeon RX 7900 XTX runs 60 of the models we track fully in memory and the NVIDIA GeForce RTX 5070 34; only the AMD Radeon RX 7900 XTX holds Qwen 3.8 27B.
Which is faster for local AI, the NVIDIA GeForce RTX 5070 or the AMD Radeon RX 7900 XTX?
On the models both run fully in memory, the AMD Radeon RX 7900 XTX is about 1.3× as fast as the NVIDIA GeForce RTX 5070 (estimated, median across models).
What is the price difference between the NVIDIA GeForce RTX 5070 and the AMD Radeon RX 7900 XTX?
In the UK the NVIDIA GeForce RTX 5070 costs £750 at eBay and the AMD Radeon RX 7900 XTX £999 at eBay (used): the NVIDIA GeForce RTX 5070 is £249 cheaper.

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