gpt-oss 20B

20.9B total, 4.2B active · 128k context · apache-2.0 · released 2025-08-04

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What to run it on in Germany

Fully in memory at 32k context, priced at retailers today.

Something we price holds it fully in memory, but none reaches 15 tok/s, our bar for recommending it. The table below has the speeds.

All hardware that runs it

Everything we price, best value first. Two cards split the model by layers.

HardwareQuantFitsDecodePricetok/s per 1,000
NVIDIA GeForce RTX 3090MXFP4fits108 tok/s––
NVIDIA GeForce RTX 5090MXFP4fits206 tok/s––
Mac Studio M4 Max 128GBMXFP4fits66 tok/s––
NVIDIA GeForce RTX 4090MXFP4fits116 tok/s––
NVIDIA GeForce RTX 5070 TiMXFP4fits103 tok/s––
Mac mini M4 Pro 64GBMXFP4fits33 tok/s––
NVIDIA GeForce RTX 5060 Ti 16GBMXFP4fits52 tok/s––
AMD Radeon RX 7900 XTXMXFP4fits98 tok/s––
Framework Desktop Ryzen AI Max+ 395 128GBMXFP4fits26 tok/s––
Mac Studio M3 Ultra 512GBMXFP4fits99 tok/s––
NVIDIA DGX Spark 128GBMXFP4fits31 tok/s––
AMD Radeon RX 9070 XTMXFP4fits65 tok/s––
GMKtec EVO-X2 Ryzen AI Max+ 395 128GBMXFP4fits26 tok/s––
Mac Studio M3 Ultra 256GBMXFP4fits99 tok/s––
Mac mini M4 Pro 48GBMXFP4fits33 tok/s––
NVIDIA GeForce RTX 4060 Ti 16GBMXFP4fits33 tok/s––
NVIDIA GeForce RTX 5080MXFP4fits110 tok/s––
Mac Studio M4 Max 64GBMXFP4fits66 tok/s––
NVIDIA GeForce RTX 4070 Ti SuperMXFP4fits77 tok/s––
AMD Radeon RX 9060 XT 16GBMXFP4fits33 tok/s––
Mac Studio M3 Ultra 96GBMXFP4fits99 tok/s––
NVIDIA GeForce RTX 4080 SuperMXFP4fits85 tok/s––
NVIDIA RTX PRO 6000 BlackwellMXFP4fits206 tok/s––
AMD Radeon AI PRO R9700MXFP4fits65 tok/s––
AMD Radeon RX 7800 XTMXFP4fits64 tok/s––
AMD Radeon RX 7900 XTMXFP4fits82 tok/s––
ASUS Ascent GX10 128GBMXFP4fits31 tok/s––
Framework Desktop Ryzen AI Max+ 395 64GBMXFP4fits26 tok/s––
Mac mini M4 32GBMXFP4fits15 tok/s––
NVIDIA GeForce RTX 3090 TiMXFP4fits116 tok/s––
AMD Radeon RX 7600 XTMXFP4fits29 tok/s––
Intel Arc Pro B60MXFP4fits39 tok/s––
NVIDIA Tesla P40MXFP4fits40 tok/s––
Intel Arc A770 16GBMXFP4fits48 tok/s––
NVIDIA GeForce RTX 3060 12GBMXFP4offload30 tok/s––
NVIDIA GeForce RTX 5070MXFP4offload42 tok/s––
NVIDIA GeForce RTX 4070 SuperMXFP4offload36 tok/s––
Intel Arc B580MXFP4offload26 tok/s––
NVIDIA GeForce RTX 3080 10GBMXFP4offload27 tok/s––

1 other card or machine we price cannot hold it at this context.

Memory needed

Weights, KV cache and runtime buffers at each context length (KV cache at fp16).

QuantFile@8k@32k@64k@128k
MXFP4gguf11.3 GB12.2 GB12.9 GB13.9 GB15.7 GB

Run it

Copy a command for the runtime you use.

  • MXFP4
    • Ollamaollama run hf.co/ggml-org/gpt-oss-20b-GGUF:MXFP4
    • LM Studiolms get ggml-org/gpt-oss-20b-GGUF@mxfp4
    • llama.cppllama-server -hf ggml-org/gpt-oss-20b-GGUF:MXFP4