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Can the NVIDIA RTX 4070 Super run gpt-oss 20B?

RTX 4070 Super × gpt-oss 20B8K context
Yes, with heavy quantizationFits only at a low-quality quant
Memory at Q3_K_M11 GB of 12 GB
Weights 10.2 GBKV cache 0.2 GBRuntime 0.6 GB
QuantQ3_K_MNoticeably degraded
Speed~172tokens per second
Max context46Ktokens that fit at Q3_K_M
  1. FP16
  2. Q8_0
  3. Q6_K
  4. Q5_K_M
  5. Q4_K_M
  6. Q3_K_M
  7. Q2_K

Only just. gpt-oss 20B fits on the NVIDIA RTX 4070 Super at Q3_K_M, which costs noticeable quality. Expect about 172 tokens/second. A card with more memory is a better experience.

Try other context lengths

Run it with Ollama

Ollama's default gpt-oss:20b download is Q4_K_M, which needs about 13.5 GB, more than the 12 GB available. Download the Q3_K_M GGUF instead (LM Studio lists quants per model), or try a smaller context length.

New to this? Step-by-step setup for the RTX 4070 Super

Run it in the cloud

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Memory needed by quantization

At 8,192 tokens of context. The black line marks the 12 GB the NVIDIA RTX 4070 Super can use.

QuantQualityMemoryFits?Speed
FP16Full quality42.6 GBToo big—
Q8_0Near-lossless23 GBToo big—
Q6_KExcellent17.9 GBToo big—
Q5_K_MVery good15.7 GBToo big—
Q4_K_MGood, most popular13.5 GBToo big—
Q3_K_MNoticeably degraded11 GBFits~172 tok/s
Q2_KHeavily degraded8.6 GBFits~224 tok/s

Measured speed from real RTX 4070 Super owners

Tokens per second that people measured on their own NVIDIA RTX 4070 Super, next to our estimate.

No one has measured gpt-oss 20B on the NVIDIA RTX 4070 Super yet. The speeds above are estimates. Run the benchmark and yours becomes the first real number on this page.

Have an RTX 4070 Super? Add your real speed

One command times gpt-oss 20B in your own Ollama, shows you exactly what it would send, and asks before sending anything. No sign-up, no personal data.

macOS and Linux

curl -fsSL https://gpufit.dev/bench.sh | sh -s -- gpt-oss:20b

Windows (PowerShell)

$env:GPUFIT_MODEL="gpt-oss:20b"; irm https://gpufit.dev/bench.ps1 | iex

How the benchmark works

GPUs that run gpt-oss 20B comfortably

Check RTX 4060 Ti 16GB prices

Models that run well on the NVIDIA RTX 4070 Super

Frequently asked questions

Can NVIDIA RTX 4070 Super run gpt-oss 20B?

Only just. gpt-oss 20B fits on the NVIDIA RTX 4070 Super at Q3_K_M, which costs noticeable quality. Expect about 172 tokens/second. A card with more memory is a better experience.

How much VRAM does gpt-oss 20B need?

About 13.5 GB at Q4_K_M with 8,192 tokens of context, and about 42.6 GB at full FP16 precision.

How fast is gpt-oss 20B on the NVIDIA RTX 4070 Super?

Roughly 172 tokens per second at Q3_K_M, estimated from the NVIDIA RTX 4070 Super's 504 GB/s memory bandwidth.