NVIDIA RTX 4070 Ti SUPER vs AMD Radeon RX 7900 XT

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

Quick verdict

AMD Radeon RX 7900 XT wins for local AI inference. It has 4 GB more VRAM and 19.0% more memory bandwidth, runs 51 models natively (vs 46), and exclusively fits 5 models the other cannot. Note: NVIDIA RTX 4070 Ti SUPER uses CUDA while AMD Radeon RX 7900 XT uses ROCM; software ecosystem matters for your framework.

Analysis

The RTX 4070 Ti SUPER ($799 at its January 2024 launch) and the RX 7900 XT ($899 at its December 2022 launch) are the two cards a buyer in the $700 to $900 range ends up cross-shopping, and for local LLMs they trade the same two things against each other: 20GB and 800 GB/s on the AMD card, 16GB and 672 GB/s plus the CUDA software stack on the NVIDIA one.

On any model both cards hold, speed follows bandwidth at a little under full strength: the XT's 800 GB/s is 19.0% above the 4070 Ti SUPER's 672, and Qwen3 14B at Q4_K_M decodes at 58.4 tok/s versus 50.2, while Qwen 3.6 27B at Q3_K_M (15.15 GB, the largest native build for both) runs 43.4 versus 37.4. The extra 4GB changes what fits, not just how fast: this site's calculator fits 51 of the 99 tracked models natively on the XT against 46 on the 4070 Ti SUPER, and the five extra are all 32B to 34B models (Qwen3 32B, Qwen 2.5 32B, Qwen 2.5 Coder 32B, DeepSeek R1 Distill Qwen 32B and Yi 1.5 34B), each fitting only at Q2_K, where the quality loss is real. The 4070 Ti SUPER does not fit anything the XT cannot. The more practical benefit is one quant step higher on models both cards run: Gemma 4 31B fits the XT at Q3_K_M (18.23 GB, 37.4 tok/s) but only reaches Q2_K on the 4070 Ti SUPER (14.79 GB, 38.6 tok/s), a slightly faster but lower-quality build. Neither card runs a 70B-class model natively; Llama 3.3 70B needs 40.72 GB even at Q3_K_M and offloads at 1.4 tok/s on the XT and 1.1 on the 4070 Ti SUPER. The software gap runs the other way: CUDA is the best-supported backend across inference tools, while the XT depends on ROCm (which AMD and Ollama both document for this card) or llama.cpp's Vulkan backend, with fewer tools behind either.

Bottom line: For llama.cpp or Ollama users who want 27B to 35B-class models, the RX 7900 XT is the stronger card: 25% more VRAM and about 16% more speed for $100 more at launch pricing, which mostly buys one quant step higher on 27B to 31B models rather than a new class of model. The RTX 4070 Ti SUPER is the right choice if your workflow depends on CUDA-only tools or you mostly run models up to 14B, where the two cards fit the same models and the XT's only advantage is that 16% speed edge. Neither card changes the picture for 70B-class models; that takes more VRAM than either offers.

Specs comparison

SpecNVIDIA RTX 4070 Ti SUPERAMD Radeon RX 7900 XT
VRAM16 GB20 GB
Memory typeGDDR6XGDDR6
Bandwidth672 GB/s800 GB/s(+19%)
ArchitectureAda LovelaceRDNA 3
BackendCUDAROCM
TierConsumerConsumer
Released20242022
Models (native)4651

Estimated tokens per second

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

ModelNVIDIA RTX 4070 Ti SUPERAMD Radeon RX 7900 XTDelta
Llama 3.3 70B Instruct(70B)N/AN/AN/A
Qwen 3.6 27B(27B)37.4 t/s(Q3_K_M)43.4 t/s(Q3_K_M)-14%
Llama 3.1 8B Instruct(8B)55.2 t/s(Q8_0)64.4 t/s(Q8_0)-14%
Qwen 2.5 7B Instruct(7.6B)62 t/s(Q8_0)41.8 t/s(BF16)-14%at Q8_0

Delta is NVIDIA RTX 4070 Ti SUPER relative to AMD Radeon RX 7900 XT, compared at the highest quantization that fits natively on both cards.

Only NVIDIA RTX 4070 Ti SUPER can run(0)

No exclusive models: AMD Radeon RX 7900 XT can run everything NVIDIA RTX 4070 Ti SUPER can.

Only AMD Radeon RX 7900 XT can run(5)

Both run natively(46)

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

Which should you choose?

Choose NVIDIA RTX 4070 Ti SUPER if:
  • • You rely on CUDA-based tools (PyTorch, vLLM, Ollama)
  • • You want the newer architecture and longer driver support lifecycle
Choose AMD Radeon RX 7900 XT if:
  • • You need to run larger models (>16 GB VRAM)
  • • Faster token generation is the priority

Frequently asked questions

Which is better for local AI, the NVIDIA RTX 4070 Ti SUPER or AMD Radeon RX 7900 XT?
For local AI inference, the AMD Radeon RX 7900 XT has the edge. It offers 20 GB VRAM (vs 16 GB) and 800 GB/s bandwidth (vs 672 GB/s), letting it run 51 models natively in VRAM vs 46 for its rival.
How much VRAM does the NVIDIA RTX 4070 Ti SUPER have vs the AMD Radeon RX 7900 XT?
The NVIDIA RTX 4070 Ti SUPER has 16 GB of GDDR6X at 672 GB/s. The AMD Radeon RX 7900 XT has 20 GB of GDDR6 at 800 GB/s. The AMD Radeon RX 7900 XT has 4 GB more VRAM, allowing it to run 5 models the NVIDIA RTX 4070 Ti SUPER cannot fit natively.
Can the NVIDIA RTX 4070 Ti SUPER run Llama 3.3 70B?
The NVIDIA RTX 4070 Ti SUPER can run Llama 3.3 70B with CPU offload at Q3_K_M, but at reduced speed.
Can the AMD Radeon RX 7900 XT run Llama 3.3 70B?
The AMD Radeon RX 7900 XT can run Llama 3.3 70B with CPU offload at Q3_K_M, but at reduced speed.
What is the difference between the NVIDIA RTX 4070 Ti SUPER and AMD Radeon RX 7900 XT for AI?
The key difference for AI inference is VRAM and memory bandwidth. The NVIDIA RTX 4070 Ti SUPER has 16 GB VRAM at 672 GB/s (CUDA backend). The AMD Radeon RX 7900 XT has 20 GB VRAM at 800 GB/s (ROCM backend). VRAM determines which models fit; bandwidth determines tokens per second. The NVIDIA RTX 4070 Ti SUPER runs 46 models natively vs 51 for the AMD Radeon RX 7900 XT.
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