RunsLocalGPU checkerLocal AI toolsv1.8 · data Oct 14, 2026

All hardware / RX 7900 XTX

What AI models can the RX 7900 XTX run?

With 24 GB of VRAM, the RX 7900 XTX runs 14 of 22 popular open models fully in fast memory at Q4_K_M or better (8K context, assuming 32 GB of DDR5 system RAM). The largest that fit are Qwen3.6 35B-A3B (Q4_K_M), Gemma 4 31B (Q5_K_M), Granite 4.2 30B (Q5_K_M). Fastest: Qwen3.6 35B-A3B at over 150 tokens/sec and Gemma 4 E2B at over 150 tokens/sec. 1 more runs with offload to system RAM, but slower.

Check with your own RAM and context length
ModelResultBest quantMemory neededEst. speed
Qwen3.6 35B-A3B
MoE · coding
Runs on GPUQ4_K_M22.2 GB150+ tok/s
Gemma 4 E2B
small
Runs on GPUQ8_06.1 GB150+ tok/s
Gemma 4 26B A4B
MoE · vision
Runs on GPUQ6_K21.8 GB150+ tok/s
gpt-oss-20b
MoE · reasoning
Runs on GPUQ8_023.2 GB150+ tok/s
Ministral 3 3B
small
Runs on GPUQ8_04.8 GB143 tok/s
Gemma 4 E4B
small · audio
Runs on GPUQ8_09.3 GB120 tok/s
Qwen3.5 9B
general
Runs on GPUQ8_011.3 GB56 tok/s
Gemma 4 12B
general · audio
Runs on GPUQ8_013.8 GB45 tok/s
Phi-4 14B
reasoning
Runs on GPUQ8_017.7 GB37 tok/s
Mistral Small 3.1 24B
general
Runs on GPUQ6_K21.5 GB29 tok/s
Qwen3.8 27B
coding
Runs on GPUQ5_K_M20.9 GB29 tok/s
Granite 4.2 30B
general
Runs on GPUQ5_K_M21.6 GB28 tok/s
Gemma 4 31B
general · vision
Runs on GPUQ5_K_M23.0 GB26 tok/s
Qwen3.6 27B
coding
Runs on GPUQ6_K23.2 GB26 tok/s
Hermes 4.3 36B
general
Lower quality fitQ3_K_M19.7 GB33 tok/s
Llama 3.3 70B
general
Needs offloadQ4_K_M45.9 GB1.9 tok/s
Llama 4 Scout
MoE · vision
Too bigQ4_K_M68.1 GB—
gpt-oss-120b
MoE · reasoning
Too bigQ4_K_M72.0 GB—
Qwen3.5 122B-A10B
MoE
Too bigQ4_K_M75.3 GB—
Qwen3.8-Flash-Next
MoE
Too bigQ4_K_M107.8 GB—
GLM-5.3-Flash
MoE · coding
Too bigQ4_K_M196.0 GB—
DeepSeek V4.1-Flash
MoE · coding
Too bigQ4_K_M335.8 GB—

Specs used: 24 GB of VRAM, 960 GB/s memory bandwidth. Speeds are estimates for generating text with llama.cpp-style runtimes; real numbers usually land within about 20%.

Apps that support the RX 7900 XTX