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 4070
Compare setup details (1 active)

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

Unknown family

NVIDIA RTX 4070 · Ollama

Tone: positiveNVIDIA hardware
generation:
29.6 tokens/s

User reports Mixtral 8x7B, Qwen-MoE and DeepSeek-MoE MoE models running through Ollama on an RTX 4070 12GB at 29.6 tok/s, up from 20.2 tok/s with a custom PyTorch orchestration layer (NPOL Engine) that prefetches experts from pinned host RAM. Setup offloads expert weights to system RAM over PCIe Gen4 x16, with a rank-32 lookahead probe staging predicted experts on a non-blocking CUDA stream and a thermal guard shedding tokens to resident experts. The user reports a 67.0% VRAM cache hit rate and 35.8% PCIe stall time saved, with 99.55% output cosine similarity preserved. Other cards: RTX 4080 Laptop 12GB 19.6 to 28.9 tok/s, RTX 3060 12GB 19.2 to 28.5 tok/s with temperature dropping from 82.5C to 58.0C, RTX 4090 24GB 27.6 to 37.2 tok/s.

Oct 19, 2026
Tone: positiveNVIDIA hardware
generation:
55.0 tokens/s
quant:
Q4_K_M (GGUF)
text-generation

User reports about 55 t/s on an RTX 4070 12GB. The figure is estimated from compute-market tiers rather than a measured run.

May 1, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB320NVIDIA RTX 3090219NVIDIA RTX 5090170NVIDIA DGX Spark91NVIDIA RTX 5060 Ti 16GB72NVIDIA RTX Pro 6000 Blackwell71M5 Max 48GB67NVIDIA RTX 3060 12GB65AMD Radeon AI PRO R9700 32GB63NVIDIA RTX 409057

Records by model

2704 total
Qwen3.81276
Qwen3.6284
Gemma 4168
DeepSeek V4 Flash149
Qwen3.5121
Qwen375
other631

Records by engine

1985 total
llama.cpp1009
vLLM206
Strata151
MLX107
Ollama84
other428

Use cases

coding 739agentic 468long-context 343tool-use 208vision 140summarization 61math 58creative-writing 46multilingual 29rp 13text-generation 9reasoning 3
coding739agentic468long-context343tool-use208vision140summarization61math58creative-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 27B710Qwen3.8 125B · 6B active502Qwen3.6 35B · 3B active193DeepSeek V4 Flash 284B · 13B active132Qwen3.6 27B80Gemma 4 26B · 4B active59DeepSeek V4.1 Flash 552B · 16B active50GLM-5.3 320B · 18B active45

Quants

Q4_K_M342UD-Q4_K_XL157NVFP4149Q8_01074-bit92IQ4_XS76Q4_K_XL74IQ3_XXS66MXFP466IQ3_S59