Local model performance on your hardware

Find which open-weight LLMs fit in your GPU or Mac and compare the speeds people report on setups like yours.

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Local model performance reports from the community

These are individual setups, not a controlled benchmark. Compare GPU count, quantization, context and offloading before comparing speeds. How to read a report →

GPU: NVIDIA RTX 5090

Compare setup details (1 active)

QuantizationEngineRecorded GPU countReported context (tokens)

Exact recorded values. Context may be a configured limit; matching filters does not establish identical prompts, offloading or concurrency.

Qwen3.8 125B (6B active) Flash-Next

NVIDIA RTX 5090 · ik_llama.cpp

generation:: 38.8 tokens/s
prompt processing (prefill):: 200.0 tokens/s
quant:: AP Q4_K_M (GGUF)

codingagenticreasoning

User reports Qwen 3.8 Flash/Next 125B MoE at about 38.8 t/s decode and about 200 t/s prefill on an RTX 5090 with 64 GB of system RAM. Setup is ik_llama.cpp with the AP quant at Q4_K_M, using about 29.7 GiB of VRAM. User notes the run is slower and depends on system RAM bandwidth and CPU offload, and adds that Qwen 3.8 27B is extremely fast but weaker. User asks for advice on models and optimizations.

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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB323NVIDIA RTX 3090221NVIDIA RTX 5090171NVIDIA DGX Spark92NVIDIA RTX 5060 Ti 16GB72NVIDIA RTX Pro 6000 Blackwell71M5 Max 48GB67NVIDIA RTX 3060 12GB65AMD Radeon AI PRO R9700 32GB63NVIDIA RTX 409057

Records by model

Qwen3.81289

Qwen3.6285

Gemma 4168

DeepSeek V4 Flash149

Qwen3.5123

Qwen375

other637

Records by engine

llama.cpp1015

vLLM209

Strata151

MLX107

Ollama84

other432

Use cases

coding 743agentic 473long-context 346tool-use 210vision 143summarization 61math 58creative-writing 47multilingual 30rp 13text-generation 9reasoning 3

coding743agentic473long-context346tool-use210vision143summarization61math58creative-writing47

Median generation t/s by GPU

On Qwen3.8 27B at 4-bit, plain single-GPU runs. Full ranking

RTX 509080RTX Pro 600067RTX 5070 Ti55M5 Ultra 256GB50RX 7900 XTX43RTX 409040RTX 309037RX 7800 XT 16GB35RTX 5090 Laptop 24GB34M3 Ultra 512GB32

Prompt processing, same model

M5 Ultra 256GB1800RX 7900 XTX640RTX 40901949RTX 3090561M3 Ultra 512GB391V100 32GB941Radeon AI PRO R9700 32GB1287RTX 3080 20GB997Arc Pro B70512M1 Ultra 128GB153

Reports by model size

Qwen3.8 27B717Qwen3.8 125B · 6B active508Qwen3.6 35B · 3B active194DeepSeek V4 Flash 284B · 13B active132Qwen3.6 27B80Gemma 4 26B · 4B active59DeepSeek V4.1 Flash 552B · 16B active51GLM-5.3 320B · 18B active45

Quants

Q4_K_M344UD-Q4_K_XL159NVFP4149Q8_01074-bit94IQ4_XS76Q4_K_XL75MXFP466IQ3_XXS66IQ3_S60