llamaperf

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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What runs on your hardware?

Pick your GPU or Mac, then read the speeds people reported on it, or estimate which models fit and how fast they run.

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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 4080
Compare setup details (1 active)

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

Qwen3.8 27B

NVIDIA RTX 4080 · NInfer · 8,192 ctx

Tone: positiveNVIDIA hardware
generation:
166.7 tokens/s
prompt processing (prefill):
2719.9 tokens/s
quant:
GSQ (safetensors)
kv:
rk4v4-e8
coding

User reports Qwen3.8 27B at 166.7 t/s generation and 2719.9 t/s prefill on an RTX 4080 16GB. Setup is NInfer with GSQ safetensors and rk4v4-e8 KV cache, single card, DFlash2 speculative decoding at 8K context. User also reports MTP3 decode at 151.2 t/s and DFlash2 K=7 decode at 262.3 t/s at 32K, with prefill up to 2720 t/s and 100k context support.

Oct 9, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB318NVIDIA RTX 3090219NVIDIA RTX 5090170NVIDIA DGX Spark91NVIDIA RTX 5060 Ti 16GB72NVIDIA RTX Pro 6000 Blackwell70M5 Max 48GB67NVIDIA RTX 3060 12GB65AMD Radeon AI PRO R9700 32GB63NVIDIA RTX 409057

Records by model

2688 total
Qwen3.81269
Qwen3.6282
Gemma 4168
DeepSeek V4 Flash149
Qwen3.5121
Qwen375
other624

Records by engine

1975 total
llama.cpp1007
vLLM205
Strata149
MLX106
Ollama83
other425

Use cases

coding 731agentic 465long-context 340tool-use 207vision 134summarization 61math 57creative-writing 46multilingual 29rp 13text-generation 9reasoning 3
coding731agentic465long-context340tool-use207vision134summarization61math57creative-writing46

Median generation t/s by GPU

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

RTX 509080RTX Pro 600067M5 Ultra 256GB50RX 7900 XTX43RTX 409040RTX 309038RX 7800 XT 16GB35RTX 5090 Laptop 24GB34M3 Ultra 512GB32V100 32GB31

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 27B709Qwen3.8 125B · 6B active497Qwen3.6 35B · 3B active192DeepSeek V4 Flash 284B · 13B active132Qwen3.6 27B79Gemma 4 26B · 4B active59DeepSeek V4.1 Flash 552B · 16B active48GLM-5.3 320B · 18B active45

Quants

Q4_K_M341UD-Q4_K_XL156NVFP4148Q8_01074-bit91IQ4_XS76Q4_K_XL74MXFP466IQ3_XXS65IQ3_S59