AMD Radeon RX 9070 XT vs NVIDIA RTX 5070 Ti

Side-by-side local AI comparison: VRAM, memory bandwidth, model compatibility, and estimated tokens per second across 99 open-weight models.

Quick verdict

NVIDIA RTX 5070 Ti is faster for local AI inference, but only on memory bandwidth (40.0% more). Both GPUs have 16 GB VRAM and run the exact same 46 models natively; neither fits anything the other can't. Note: AMD Radeon RX 9070 XT uses ROCM while NVIDIA RTX 5070 Ti uses CUDA; software ecosystem matters for your framework.

Analysis

The RX 9070 XT ($599) and the RTX 5070 Ti ($749, launched February 20, 2025) both arrived in early 2025 with 16GB of VRAM, and they are the two cards a buyer after a high-bandwidth 16GB GPU ends up comparing. For local LLMs the capacity is identical, so the comparison comes down to bandwidth, price and software.

Both cards fit the same 46 of 99 tracked models natively at 8k context, so nothing runs on one that does not run on the other. Speed is where they differ: the RTX 5070 Ti's 896 GB/s is 40% above the RX 9070 XT's 640 GB/s, and this site's calculator turns that into a gap of about 34% on dense models, a little under the bandwidth ratio because every layer also carries a fixed cost that faster memory does not shrink. Qwen3 14B at Q4_K_M decodes at 64.4 tok/s on the NVIDIA card versus 48.1 on the AMD one, and Qwen 3.6 27B at Q3_K_M (15.15 GB) at 47.6 versus 35.9. The gap is wider on a mixture-of-experts model, GPT-OSS 20B at Q4_K_M (14.55 GB), at 199.7 versus 116.6, because the calculator charges the AMD backends a larger per-layer cost on those. Price narrows the gap less than it widens it: the RTX 5070 Ti costs 25% more ($150) for 40% more bandwidth, so by launch prices it is the cheaper card per GB/s. Neither card holds a 27B model at Q4_K_M (19.02 GB against 15.2 GB of usable VRAM); both offload it at about 10 tok/s. The software gap runs the other way: CUDA is the best-supported backend across inference tools, and the Blackwell card also runs NVFP4 builds, while the RX 9070 XT depends on ROCm 6.4.1 or newer (listed by AMD for Linux and the Windows HIP SDK) or llama.cpp's Vulkan backend.

Bottom line: For local LLMs the RTX 5070 Ti is the stronger 16GB card: about 34% faster decoding on dense models (more on mixture-of-experts) for 25% more money at launch prices, with the broader CUDA toolchain on top. The RX 9070 XT is the right choice when you want to save $150, already run an AMD system or Linux with ROCm, or use llama.cpp's Vulkan backend, where it delivers roughly 75% of the NVIDIA card's speed on dense models in this site's estimates and about 1.4 times the RTX 5060 Ti 16GB's. Street prices have moved since launch, so check current listings before treating the MSRP gap as the real one.

Specs comparison

SpecAMD Radeon RX 9070 XTNVIDIA RTX 5070 Ti
VRAM16 GB16 GB
Memory typeGDDR6GDDR7
Bandwidth640 GB/s896 GB/s(+40%)
ArchitectureRDNA 4Blackwell
BackendROCMCUDA
TierConsumerConsumer
Released20252025
Models (native)4646

Estimated tokens per second

Computed from memory bandwidth and model active-parameter weight. Assumes model fits natively in VRAM.

ModelAMD Radeon RX 9070 XTNVIDIA RTX 5070 TiDelta
Llama 3.3 70B Instruct(70B)N/AN/AN/A
Qwen 3.6 27B(27B)35.9 t/s(Q3_K_M)47.6 t/s(Q3_K_M)-25%
Llama 3.1 8B Instruct(8B)52.8 t/s(Q8_0)119.7 t/s(NVFP4)-26%at Q8_0
Qwen 2.5 7B Instruct(7.6B)59.3 t/s(Q8_0)140.9 t/s(NVFP4)-26%at Q8_0

Delta is AMD Radeon RX 9070 XT relative to NVIDIA RTX 5070 Ti, compared at the highest quantization that fits natively on both cards.

Only AMD Radeon RX 9070 XT can run(0)

No exclusive models: NVIDIA RTX 5070 Ti can run everything AMD Radeon RX 9070 XT can.

Only NVIDIA RTX 5070 Ti can run(0)

No exclusive models: AMD Radeon RX 9070 XT can run everything NVIDIA RTX 5070 Ti can.

Both run natively(46)

These models fit in VRAM on both GPUs. Bandwidth determines which runs them faster.

Which should you choose?

Choose AMD Radeon RX 9070 XT if:
  • • Price or availability decides it: AMD Radeon RX 9070 XT has no VRAM, bandwidth or backend advantage over NVIDIA RTX 5070 Ti
Choose NVIDIA RTX 5070 Ti if:
  • • Faster token generation is the priority
  • • You rely on CUDA-based tools (PyTorch, vLLM, Ollama)

Frequently asked questions

Which is better for local AI, the AMD Radeon RX 9070 XT or NVIDIA RTX 5070 Ti?
For local AI inference, the NVIDIA RTX 5070 Ti has the edge. It offers 16 GB VRAM (vs 16 GB) and 896 GB/s bandwidth (vs 640 GB/s), letting it run 46 models natively in VRAM vs 46 for its rival.
How much VRAM does the AMD Radeon RX 9070 XT have vs the NVIDIA RTX 5070 Ti?
The AMD Radeon RX 9070 XT has 16 GB of GDDR6 at 640 GB/s. The NVIDIA RTX 5070 Ti has 16 GB of GDDR7 at 896 GB/s. Both GPUs have the same VRAM amount; bandwidth determines which generates tokens faster.
Can the AMD Radeon RX 9070 XT run Llama 3.3 70B?
The AMD Radeon RX 9070 XT can run Llama 3.3 70B with CPU offload at Q3_K_M, but at reduced speed.
Can the NVIDIA RTX 5070 Ti run Llama 3.3 70B?
The NVIDIA RTX 5070 Ti can run Llama 3.3 70B with CPU offload at Q3_K_M, but at reduced speed.
What is the difference between the AMD Radeon RX 9070 XT and NVIDIA RTX 5070 Ti for AI?
The key difference for AI inference is VRAM and memory bandwidth. The AMD Radeon RX 9070 XT has 16 GB VRAM at 640 GB/s (ROCM backend). The NVIDIA RTX 5070 Ti has 16 GB VRAM at 896 GB/s (CUDA backend). VRAM determines which models fit; bandwidth determines tokens per second. The AMD Radeon RX 9070 XT runs 46 models natively vs 46 for the NVIDIA RTX 5070 Ti.
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