Best local LLM for 16 GB

For RTX 4060 Ti (16 GB), RTX 4080 Super (16 GB), RTX 5060 Ti (16 GB), RTX 5070 Ti (16 GB), RTX 5080 (16 GB), Radeon RX 9070 XT (16 GB), Mac, 24 GB and Mac, 32 GB. Method

Smartest fitGPT-OSS 20BIndex 41.7 · 4-bit · 14.3 GB
Behind the frontier23 monthsFirst reached by o1, Dec 2024
API equivalent$0.032 / 1MLing 3.0 Flash, blended price

Models that fit in 16 GB

Top 10
#ModelIndexFormatMemoryCheapest APILowest output price per 1M.
01GPT-OSS 20B41.74-bit14.3 GBCoreWeave $0.13
02Gemma 4 12B39.08-bit14.3 GB—
03Granite 4.2 8B37.68-bit10.8 GBCoreWeave $0.15
04MiniCPM5-2B37.116-bit6.3 GB—
05Granite 4.2 3B33.216-bit8.7 GB—
06LFM2.5-2.6B29.316-bit6.7 GB—
07Gemma 4 E4B28.28-bit9.9 GB—
08Phi-422.44-bit10.3 GB—
09Gemma 4 E2B21.916-bit11.8 GB—
10Granite-4.0-350M11.916-bit1.7 GB—

By memory

Index, highest first
MemorySmartest fitIndexFormatBehindAPI equivalent
8 GBGranite 4.2 8B37.64-bit23 mo$0.032
12 GBGemma 4 12B39.04-bit23 mo$0.032
16 GBGPT-OSS 20B41.74-bit23 mo$0.032
24 GBQwen3.8-27B59.24-bit10 mo$0.05
32 GBQwen3.8-27B59.28-bit10 mo$0.05
48 GBQwen3.8-27B59.28-bit10 mo$0.05
64 GBQwen3.8-27B59.216-bit10 mo$0.05
96 GBQwen3.8-27B59.216-bit10 mo$0.05
128 GBQwen3.8-Flash-Next64.34-bit8 mo$0.116
192 GBMiniMax M3.1 Flash69.34-bit5 mo$0.262
256 GBMiniMax M3.1 Flash69.38-bit5 mo$0.262
512 GBMiniMax M3.1 Flash69.316-bit5 mo$0.262

Method