RX 9070 XT vs RTX 5070 for Local AI
Updated September 21, 2026. Spec values below come from our product database (launch MSRPs, not street prices). We list measured local speeds only where sourced benchmark rows exist — see the coverage note at the end.
The short answer
These cards trade different resources. The Radeon RX 9070 XT holds 16 GB of GDDR6 on a 256-bit bus at 640 GB/s and a 304 W board power, with a launch MSRP of $599. The GeForce RTX 5070 holds 12 GB of GDDR7 on a 192-bit bus at 672 GB/s and 250 W, with a launch MSRP of $549. The 5070 is $50 cheaper at launch and slightly higher in published bandwidth, but it has 4 GB less VRAM. That capacity gap decides which quantized model sizes stay fully on-card. The 5070 also sits on NVIDIA's CUDA toolchain; the 9070 XT is RDNA 4 and depends on ROCm-class stacks.
Spec comparison
| Specification | Radeon RX 9070 XT | GeForce RTX 5070 |
|---|---|---|
| VRAM | 16 GB | 12 GB |
| Memory type | GDDR6 | GDDR7 |
| Memory bandwidth | 640 GB/s | 672 GB/s |
| Memory bus | 256-bit | 192-bit |
| Board power (TDP) | 304 W | 250 W |
| Architecture | RDNA 4 (4,096 stream processors) | Blackwell (6,144 CUDA cores) |
| Interface | PCIe 5.0 x16 | PCIe 5.0 x16 |
| Launch MSRP | $599 | $549 |
| Release year | 2025 | 2025 |
Local LLM inference
Published memory bandwidth is close: 672 GB/s on the 5070 versus 640 GB/s on the 9070 XT. Token generation on a single GPU is often bandwidth-bound once the model fits, so these two cards should not be treated as a large throughput gap on paper. The practical split is capacity. 16 GB on the 9070 XT is the larger on-card window for 14B–32B-class quantized models; 12 GB on the 5070 is tighter for that class and more often forces a smaller quant or CPU/offload. Software friction still favors the 5070: CUDA paths in llama.cpp, vLLM, and Ollama are the default. ROCm on RDNA 4 has improved through 2026 but still needs more setup on some stacks.
Our database holds one non-quarantined local-LLM row for the RTX 5070 only: 59.13 tok/s on Qwen3-8B Q4_K_XL via llama.cpp (CUDA 12.8), source tier 3, labeled community_unverified, from hardware-corner.net, tested 2025-12-09. That is not a head-to-head result. No sourced RX 9070 XT token-rate row exists yet, so we do not publish a winner in tokens per second.
Image generation
Diffusion workloads care about VRAM first. 16 GB on the 9070 XT fits SDXL at FP16 and more Flux-class quants without offload; 12 GB on the 5070 is enough for many SDXL setups and quantized Flux, but leaves less headroom. We do not have sourced images-per-minute rows for this pair, so we do not rank them on diffusion speed.
Which should you buy?
- Buy the RX 9070 XT if you need the extra 4 GB so larger quantized models stay on-GPU, and you accept ROCm-class setup plus a 304 W / $599 launch card.
- Buy the RTX 5070 if 12 GB is enough for your models, you want the CUDA default stack, a 250 W board, and the lower $549 launch MSRP.
- Neither is a 70B-class single-GPU card. See the LLM inference guide for 24 GB+ options. The nearby RX 9070 XT vs RTX 5070 Ti page covers the 16 GB NVIDIA sibling.
How we know (and what we don't)
Every specification above is drawn from our RX 9070 XT (product 52) and RTX 5070 (product 18) records, which pin vendor-published values from AMD's RX 9070 XT page and NVIDIA's RTX 5070 family page. Street prices are NULL in the database. The only sourced benchmark cited is the single RTX 5070 Qwen3-8B row above (tier 3, community_unverified, not an estimate). We have no sourced RX 9070 XT local-LLM measurement and no head-to-head pair, so we do not invent a tokens-per-second verdict.