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gpt-oss 120B vs Llama 4 Scout 109B-A17B: which runs better locally?

gpt-oss 120B needs about 76.7 GB at Q4 with 8K context and fits fully on 0 of 40 GPUs. Llama 4 Scout 109B-A17B needs 72.9 GB and fits on 0.

VerdictClose in size and speed

gpt-oss 120B needs about 76.7 GB at Q4 with 8K context and fits fully on 0 of 40 GPUs. Llama 4 Scout 109B-A17B needs 72.9 GB and fits on 0.

gpt-oss 120BChat, Reasoning, Coding
Parameters117B (5.1B active)
Memory at Q4, 8K76.7 GB
Memory at Q8, 8K137.2 GB
GPUs that run it fully0 / 40
Cheapest desktop cardNone
Llama 4 Scout 109B-A17BChat, Vision
Parameters109B (17B active)
Memory at Q4, 8K72.9 GB
Memory at Q8, 8K129.2 GB
GPUs that run it fully0 / 40
Cheapest desktop cardNone

Each GPU 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.

GPUgpt-oss 120BLlama 4 Scout 109B-A17B
RTX 5090 32 GBWon’t fitWon’t fit
RTX 4090 24 GBWon’t fitWon’t fit
RX 7900 XTX 24 GBWon’t fitWon’t fit
RTX 3090 / 3090 Ti 24 GBWon’t fitWon’t fit
RX 7900 XT 20 GBWon’t fitWon’t fit
RTX 5080 16 GBWon’t fitWon’t fit
RTX 5070 Ti 16 GBWon’t fitWon’t fit
RTX 4080 / 4080 Super 16 GBWon’t fitWon’t fit
RTX 4070 Ti Super 16 GBWon’t fitWon’t fit
RX 9070 XT 16 GBWon’t fitWon’t fit
RX 7800 XT 16 GBWon’t fitWon’t fit
Arc A770 16 GBWon’t fitWon’t fit
RX 6800 XT 16 GBWon’t fitWon’t fit
RTX 5060 Ti 16 GBWon’t fitWon’t fit
RTX 4060 Ti 16 GBWon’t fitWon’t fit
RTX 5070 12 GBWon’t fitWon’t fit
RTX 4070 / 4070 Super 12 GBWon’t fitWon’t fit
Arc B580 12 GBWon’t fitWon’t fit
RX 7700 XT 12 GBWon’t fitWon’t fit
RX 6700 XT 12 GBWon’t fitWon’t fit
RTX 3060 12 GBWon’t fitWon’t fit
GTX 1080 Ti 11 GBWon’t fitWon’t fit
RTX 3080 10 GBWon’t fitWon’t fit
Arc A750 8 GBWon’t fitWon’t fit
RTX 5060 Ti 8 GBWon’t fitWon’t fit
RTX 5060 8 GBWon’t fitWon’t fit
RTX 3070 / 3070 Ti 8 GBWon’t fitWon’t fit
RTX 3060 Ti 8 GBWon’t fitWon’t fit
RTX 4060 Ti 8 GBWon’t fitWon’t fit
RX 7600 8 GBWon’t fitWon’t fit
RTX 4060 8 GBWon’t fitWon’t fit
RTX 3050 8 GBWon’t fitWon’t fit
GTX 1660 / 1660 Super 6 GBWon’t fitWon’t fit
GTX 1650 4 GBWon’t fitWon’t fit
RTX 4090 Laptop 16 GBWon’t fitWon’t fit
RTX 4080 Laptop 12 GBWon’t fitWon’t fit
RTX 4070 Laptop 8 GBWon’t fitWon’t fit
RTX 4060 Laptop 8 GBWon’t fitWon’t fit
RTX 3060 Laptop 6 GBWon’t fitWon’t fit
RTX 4050 Laptop 6 GBWon’t fitWon’t fit

Which should you run?

Close in size and speed. gpt-oss 120B needs about 76.7 GB at Q4 with 8K context and fits fully on 0 of 40 GPUs. Llama 4 Scout 109B-A17B needs 72.9 GB and fits on 0.

See every result on its own page: gpt-oss 120B and Llama 4 Scout 109B-A17B.

Questions

Is gpt-oss 120B or Llama 4 Scout 109B-A17B better?

Close in size and speed. gpt-oss 120B needs about 76.7 GB at Q4 with 8K context and fits fully on 0 of 40 GPUs. Llama 4 Scout 109B-A17B needs 72.9 GB and fits on 0. The right pick depends on what you use it for: compare the strengths listed on each model's page.

Which needs less VRAM, gpt-oss 120B or Llama 4 Scout 109B-A17B?

gpt-oss 120B needs about 77 GB at Q4 with 8K context, Llama 4 Scout 109B-A17B about 73 GB. At Q8 it is 137 GB versus 129 GB.

Can I run gpt-oss 120B and Llama 4 Scout 109B-A17B on a 12 GB GPU?

On an RTX 3060 12 GB, gpt-oss 120B does not fit and Llama 4 Scout 109B-A17B does not fit.

More comparisons

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Estimates from memory size and bandwidth at 8K context. Real speed varies with software, drivers and settings.

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