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

All models / gpt-oss-20b

What GPU do I need to run gpt-oss-20b?

gpt-oss-20b has 21B parameters (3.6B active per token, mixture-of-experts). At Q4_K_M with 8K context it needs about 13.6 GB of memory. The smallest graphics card that runs it fully on the GPU is about 16 GB, such as the RTX 4060 Ti 16GB. Because only 3.6B parameters are active, it still runs usably with offload to system RAM on cards like the RTX 3080 Ti.

Check your own hardware

Memory by quantization (8K context)

QuantBits per weightMemory needed
Q8_08.523.2 GB
Q6_K6.5618.1 GB
Q5_K_M5.6915.8 GB
Q4_K_M4.8513.6 GB
Q3_K_M3.9111.2 GB
IQ2_M2.78.0 GB

Hardware that runs it fully in fast memory

HardwareMemoryBest quantEst. speed
RTX 508016 GBQ4_K_M150+ tok/s
RTX 5070 Ti16 GBQ4_K_M150+ tok/s
RTX 4080 Super16 GBQ4_K_M150+ tok/s
RTX 408016 GBQ4_K_M150+ tok/s
RTX 4070 Ti Super16 GBQ4_K_M150+ tok/s
RX 9070 XT16 GBQ4_K_M150+ tok/s
RX 907016 GBQ4_K_M150+ tok/s
RX 7800 XT16 GBQ4_K_M150+ tok/s
Arc A770 16GB16 GBQ4_K_M150+ tok/s
RX 6800 XT16 GBQ4_K_M141 tok/s
RTX 5060 Ti 16GB16 GBQ4_K_M123 tok/s
RX 9060 XT 16GB16 GBQ4_K_M88 tok/s
RTX 4060 Ti 16GB16 GBQ4_K_M79 tok/s
RX 7900 XT20 GBQ6_K150+ tok/s
RTX 409024 GBQ8_0150+ tok/s
RTX 3090 Ti24 GBQ8_0150+ tok/s
RX 7900 XTX24 GBQ8_0150+ tok/s
RTX 309024 GBQ8_0147 tok/s
M4 Pro 24GB24 GBQ5_K_M64 tok/s
RTX 509032 GBQ8_0150+ tok/s
M5 32GB32 GBQ6_K31 tok/s
M4 32GB32 GBQ6_K24 tok/s
M4 Max 36GB36 GBQ8_064 tok/s
M4 Pro 48GB48 GBQ8_043 tok/s
M4 Max 64GB64 GBQ8_086 tok/s
Ryzen AI Max+ 395 64GB64 GBQ8_040 tok/s
RTX PRO 6000 Blackwell96 GBQ8_0150+ tok/s
M3 Ultra 96GB96 GBQ8_0128 tok/s
M4 Max 128GB128 GBQ8_086 tok/s
DGX Spark 128GB128 GBQ8_043 tok/s
Ryzen AI Max+ 395 128GB128 GBQ8_040 tok/s
M3 Ultra 256GB256 GBQ8_0128 tok/s
M3 Ultra 512GB512 GBQ8_0128 tok/s

Runs with offload to system RAM (slower)

Assumes 32 GB of DDR5 system RAM for offload. Estimates only; real speeds usually land within about 20%.