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.

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 4090
Compare setup details (1 active)

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

NVIDIA hardware
generation:
120.1 tokens/s
prompt processing (prefill):
4700-4800 tokens/s
quant:
IQ3_S (GGUF)
kv:
int8

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is input throughput, not time to first token. Check the full setup before comparing.

codingagenticvisiontool-use

User reports Qwen3.8-Flash-Next at 120.10 tok/s decode at 32K context on one RTX 4090, with 112.55 tok/s at 128K and roughly 4,700-4,800 tok/s on uncached 32K prefill. Setup is Strata with GSQ IQ3_S GGUF weights, int8 KV cache and a 32K resident window, MTP speculation with four draft tokens, 11 pool workers and a 0.35 PCIe fraction; all experts and the IQ4_NL ngram table stay in RAM, so the run is partially CPU-offloaded. The host is a Ryzen 7900 with 192 GB RAM at a 280 W GPU limit. The 120.10 tok/s figure is the median of launch medians for the selected 24-expert-cache profile, a +0.88% change over the 96-swap baseline; the 128K figure is +4.26%. Earlier matched decode cells give 110.8 tok/s median for the text profile and 97.65 tok/s for the GPU vision profile, and a matched A/B isolates GPU vision residency at 114.85 versus 104.25 tok/s (-9.2%). The 397B partial-offload probe reached 12.42 tok/s with quality unqualified.

Oct 5, 2026
Tone: positiveNVIDIA hardware
generation:
106.1 tokens/s
prompt processing (prefill):
147.0 tokens/s
quant:
IQ2_XS (GGUF)
kv:
8-bit

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is input throughput, not time to first token. Check the full setup before comparing.

User reports Qwen3.8-Flash-Next at 106.1 tok/s whole-request on an RTX 4090 24GB. Setup is Strata with IQ2_XS, 128K context, 8-bit KV cache, MTP on, KV streaming on, images on, speed projection off. The IQ3_XXS tier ran at 98.1 tok/s whole-request with ~120 tok/s peak decode and 131 tok/s prefill; the user notes it was 3.7x longer and qualitatively deeper for only 8% less speed. Both tiers match the README's 24 GB card estimate of 100-140 t/s.

Oct 5, 2026
Tone: mixedNVIDIA hardware
generation:
166.4 tokens/s
quant:
IQ2_XS (GGUF)
kv:
INT8

Reported by the source; GPU count, offloading and concurrent requests can change these figures. Prompt-processing speed is shown only when the source reports it; generation speed cannot tell us time to first token. Check the full setup before comparing.

coding

User reports Qwen3.8-Flash-Next at 166.36 output tokens/s on a rented RTX 4090 24 GB. Setup is Strata with IQ2_XS, INT8 KV cache, 65,536-token context and 32,768 GPU-resident tokens, MTP draft 4 at 0.5 minimum probability. The rate is a weighted generation figure (sum of completion tokens over predicted time), not whole-request throughput; MTP acceptance was 84.9% and peak sampled GPU memory 23,918 MiB. The generated Hill Climb Racing-style game was rejected for poor vehicle physics and game feel.

Oct 5, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB294NVIDIA RTX 3090190NVIDIA RTX 5090134NVIDIA DGX Spark77M5 Max 48GB65NVIDIA RTX Pro 6000 Blackwell62NVIDIA RTX 5060 Ti 16GB58NVIDIA RTX 3060 12GB54AMD Radeon AI PRO R9700 32GB50M4 Max 128GB49

Records by model

2211 total
Qwen3.81021
Qwen3.6238
DeepSeek V4 Flash147
Gemma 4144
Qwen3.597
Qwen353
other511

Records by engine

1645 total
llama.cpp875
vLLM189
MLX100
Strata70
Ollama62
other349

Use cases

coding 556agentic 357long-context 272tool-use 153vision 109summarization 53math 43creative-writing 37multilingual 23text-generation 9rp 8reasoning 3
coding556agentic357long-context272tool-use153vision109summarization53math43creative-writing37

Median generation t/s by GPU

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

RTX 509082RTX Pro 600067M5 Ultra 256GB50RX 7900 XTX48RTX 309036RTX 5090 Laptop 24GB34RTX 409032V100 32GB31Radeon AI PRO R9700 32GB30RX 7800 XT 16GB30

Prompt processing, same model

M5 Ultra 256GB1800RX 7900 XTX530RTX 3090561RTX 40901949V100 32GB941RTX 3080 20GB997Arc Pro B70512M1 Ultra 128GB153Arc Pro B60 24GB380M1 Max 32GB82

Reports by model size

Qwen3.8 27B566Qwen3.8 125B · 6B active371DeepSeek V4 Flash 284B · 13B active130Qwen3.6 35B · 3B active129Qwen3.6 27B72Gemma 4 26B · 4B active36GLM-5.3 320B · 18B active33DeepSeek V4.1 Flash 552B · 16B active28

Quants

Q4_K_M290UD-Q4_K_XL140NVFP4120Q8_0984-bit79Q4_K_XL71IQ4_XS70MXFP458IQ3_XXS52Q450