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What local LLMs run on RTX 5090 32GB?

With 32 GB VRAM, assuming 16 GB system RAM for partial offload, these are the best open models that fit. The top pick is Qwen3 32B at Q4_K_M (~22.2 GB, ~54 tok/s): ollama run qwen3:32b.

Best for coding: Qwen3-Coder 30B-A3B (MoE) (qwen3-coder:30b), Qwen3.8 27B (qwen3.8:27b), Mistral Small 24B (mistral-small:24b-instruct-2501-q8_0).

Runtimes available for this hardware: Ollama, LM Studio, llama.cpp, vLLM.

Open the interactive checker for RTX 5090 32GB
#ModelQuantMemory neededFitSpeedCommand
1Qwen3 32BQ4_K_M22.2 GBfits in fast memory~54 tok/sollama run qwen3:32b
2DeepSeek R1 Distill Qwen 32BQ4_K_M22.2 GBfits in fast memory~54 tok/sollama run deepseek-r1:32b
3Gemma 3 27BQ4_K_M19 GBfits in fast memory~63 tok/sollama run gemma3:27b
4Clef 27B (Cloudflare, decision)Default19.9 GBfits in fast memory~60 tok/sollama run clef:27b
5Qwen3.8 27BDefault19.9 GBfits in fast memory~60 tok/sollama run qwen3.8:27b
6Mistral Small 24BQ8_026.8 GBfits in fast memory~43 tok/sollama run mistral-small:24b-instruct-2501-q8_0
7Qwen3 30B-A3B (MoE)Q4_K_M20.4 GBfits in fast memory~262 tok/sollama run qwen3:30b
8Qwen3-Coder 30B-A3B (MoE)Q4_K_M20.4 GBfits in fast memory~262 tok/sollama run qwen3-coder:30b
9gpt-oss 20B (MoE, MXFP4)MXFP415.1 GBfits in fast memory~223 tok/sollama run gpt-oss:20b
10Mixtral 8x7B (MoE)Q4_K_M29.8 GBfits in fast memory~70 tok/sollama run mixtral:8x7b-instruct-v0.1-q4_K_M
11Qwen3 14BQ8_017.3 GBfits in fast memory~67 tok/sollama run qwen3:14b-q8_0
12DeepSeek R1 Distill Qwen 14BQ8_017.3 GBfits in fast memory~67 tok/sollama run deepseek-r1:14b-qwen-distill-q8_0

Estimates, not benchmarks. Model sizes are ollama.com download sizes; memory needed adds headroom for ~8k tokens of context; speeds are rough figures from memory bandwidth. Data updated 2026-10-14.

A project by OnDevice Labs · llms.txt