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.

Free to use. No account needed. Memory estimates and community measurements are labelled separately.

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Search for a model to see its reported speeds across GPUs and Macs.

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 3080 20GB
Compare setup details (1 active)

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

Tone: positiveNVIDIA hardware
generation:
105.0 tokens/s
prompt processing (prefill):
5000.0 tokens/s
quant:
IQ3_XXS (GGUF)
agenticlong-context

User reports Qwen3.8 Flash-Next 125B at 105 t/s generation and 5000 t/s prompt processing on 4x RTX 3080 20GB modded cards. Setup is Strata with IQ3_XXS quant at 150000 context length, running via docker-compose on Unraid. User says they are absolutely impressed and tested with a Hermes agent at 150k context.

Oct 5, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB313NVIDIA RTX 3090217NVIDIA RTX 5090161NVIDIA DGX Spark87NVIDIA RTX Pro 6000 Blackwell70NVIDIA RTX 5060 Ti 16GB68M5 Max 48GB67NVIDIA RTX 3060 12GB64AMD Radeon AI PRO R9700 32GB61NVIDIA RTX 409056

Records by model

2596 total
Qwen3.81221
Qwen3.6275
Gemma 4165
DeepSeek V4 Flash149
Qwen3.5117
Qwen371
other598

Records by engine

1918 total
llama.cpp988
vLLM202
Strata135
MLX106
Ollama79
other408

Use cases

coding 691agentic 438long-context 326tool-use 191vision 127summarization 61math 51creative-writing 43multilingual 26rp 12text-generation 9reasoning 3
coding691agentic438long-context326tool-use191vision127summarization61math51creative-writing43

Median generation t/s by GPU

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

RTX 509073RTX 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 27B686Qwen3.8 125B · 6B active474Qwen3.6 35B · 3B active185DeepSeek V4 Flash 284B · 13B active132Qwen3.6 27B79Gemma 4 26B · 4B active59GLM-5.3 320B · 18B active43DeepSeek V4.1 Flash 552B · 16B active42

Quants

Q4_K_M333UD-Q4_K_XL153NVFP4145Q8_01054-bit87IQ4_XS75Q4_K_XL74MXFP465IQ3_XXS61IQ3_S55