Compare · GPUs
RX 7800 XT vs RTX 4060 Ti for local LLMs
Both fit the same 21 models, but the RX 7800 XT generates about 2.2x faster thanks to 624 GB/s of memory bandwidth versus 288 GB/s.
Both fit the same 21 models, but the RX 7800 XT generates about 2.2x faster thanks to 624 GB/s of memory bandwidth versus 288 GB/s.
Every model at 8K context with the best quantization that fits. Offload assumes 32 GB of system RAM. Green marks the better result. Rows where the two differ come first.
| Model | RX 7800 XT | RTX 4060 Ti |
|---|---|---|
| Qwen3 0.6B | Runs~640 tok/sQ8_0 | Runs~290 tok/sQ8_0 |
| Gemma 3 1B | Runs~380 tok/sQ8_0 | Runs~180 tok/sQ8_0 |
| Llama 3.2 1B | Runs~320 tok/sQ8_0 | Runs~150 tok/sQ8_0 |
| Llama 3.2 3B | Runs~120 tok/sQ8_0 | Runs~55 tok/sQ8_0 |
| Phi-4 Mini 3.8B | Runs~100 tok/sQ8_0 | Runs~47 tok/sQ8_0 |
| Qwen3 4B | Runs~96 tok/sQ8_0 | Runs~44 tok/sQ8_0 |
| Gemma 3 4B | Runs~89 tok/sQ8_0 | Runs~41 tok/sQ8_0 |
| Qwen3.5 4B | Runs~81 tok/sQ8_0 | Runs~38 tok/sQ8_0 |
| Mistral 7B v0.3 | Runs~53 tok/sQ8_0 | Runs~25 tok/sQ8_0 |
| Qwen2.5-Coder 7B | Runs~50 tok/sQ8_0 | Runs~23 tok/sQ8_0 |
| Llama 3.1 8B | Runs~48 tok/sQ8_0 | Runs~22 tok/sQ8_0 |
| DeepSeek-R1 Distill 8B | Runs~48 tok/sQ8_0 | Runs~22 tok/sQ8_0 |
| Qwen3 8B | Runs~47 tok/sQ8_0 | Runs~22 tok/sQ8_0 |
| Qwen3.5 9B | Runs~41 tok/sQ8_0 | Runs~19 tok/sQ8_0 |
| Gemma 4 12B | Runs~41 tok/sQ6_K | Runs~19 tok/sQ6_K |
| Gemma 3 12B | Runs~41 tok/sQ6_K | Runs~19 tok/sQ6_K |
| Mistral Nemo 12B | Runs~41 tok/sQ6_K | Runs~19 tok/sQ6_K |
| Phi-4 14B | Runs~39 tok/sQ5_K_M | Runs~18 tok/sQ5_K_M |
| Qwen3 14B | Runs~39 tok/sQ5_K_M | Runs~18 tok/sQ5_K_M |
| DeepSeek-R1 Distill 14B | Runs~39 tok/sQ5_K_M | Runs~18 tok/sQ5_K_M |
| gpt-oss 20B | Runs~83 tok/sQ4_K_M | Runs~39 tok/sQ4_K_M |
| Codestral 22B | Offload~4.4 tok/sQ4_K_M | Offload~2.2 tok/sQ4_K_M |
| Mistral Small 3 24B | Offload~4.0 tok/sQ4_K_M | Offload~2.1 tok/sQ4_K_M |
| Devstral Small 24B | Offload~4.0 tok/sQ4_K_M | Offload~2.1 tok/sQ4_K_M |
| Gemma 4 26B-A4B (MoE) | Offload~11 tok/sQ4_K_M | Offload~6.7 tok/sQ4_K_M |
| Gemma 3 27B | Offload~3.2 tok/sQ4_K_M | Offload~1.9 tok/sQ4_K_M |
| Qwen3.6 27B | Offload~3.4 tok/sQ4_K_M | Offload~1.8 tok/sQ4_K_M |
| Qwen3 30B-A3B (MoE) | Offload~13 tok/sQ4_K_M | Offload~7.9 tok/sQ4_K_M |
| Qwen3-Coder 30B-A3B | Offload~13 tok/sQ4_K_M | Offload~7.9 tok/sQ4_K_M |
| Gemma 4 31B | Offload~2.7 tok/sQ4_K_M | Offload~1.7 tok/sQ4_K_M |
| Qwen3 32B | Offload~2.6 tok/sQ4_K_M | Offload~1.6 tok/sQ4_K_M |
| DeepSeek-R1 Distill 32B | Offload~2.6 tok/sQ4_K_M | Offload~1.6 tok/sQ4_K_M |
| Qwen2.5-Coder 32B | Offload~2.6 tok/sQ4_K_M | Offload~1.6 tok/sQ4_K_M |
| Qwen3.6 35B-A3B (MoE) | Offload~13 tok/sQ4_K_M | Offload~8.8 tok/sQ4_K_M |
| Llama 3.3 70B | Won’t fit | Won’t fit |
| DeepSeek-R1 Distill 70B | Won’t fit | Won’t fit |
| Llama 4 Scout 109B-A17B | Won’t fit | Won’t fit |
| gpt-oss 120B | Won’t fit | Won’t fit |
| Qwen3 235B-A22B (MoE) | Won’t fit | Won’t fit |
Which should you buy?
The RX 7800 XT is the better card for local AI. Both fit the same 21 models, but the RX 7800 XT generates about 2.2x faster thanks to 624 GB/s of memory bandwidth versus 288 GB/s.
Software matters as much as memory. NVIDIA cards work out of the box with Ollama, LM Studio and llama.cpp through CUDA. AMD cards run through ROCm or Vulkan and Intel Arc through Vulkan or IPEX-LLM; both work, but setup takes longer and new features usually land on NVIDIA first.
See every result on its own page: RX 7800 XT and RTX 4060 Ti.
Questions
Is the RX 7800 XT or the RTX 4060 Ti better for running LLMs?
The RX 7800 XT is the better card for local AI. Both fit the same 21 models, but the RX 7800 XT generates about 2.2x faster thanks to 624 GB/s of memory bandwidth versus 288 GB/s.
Which models can the RX 7800 XT run that the RTX 4060 Ti can't?
None. Both cards fit the same models; the difference is speed.
Does the RX 7800 XT or RTX 4060 Ti need anything else to run local AI?
Only the software. Install Ollama or LM Studio, pick a model that fits in VRAM, and it runs on the GPU. 32 GB of system RAM helps when a model spills over, but that path is much slower.
More comparisons
Estimates from memory size and bandwidth at 8K context. Real speed varies with software, drivers and settings.