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.

Looking for a particular model?

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: M3 Ultra 512GB
Compare setup details (1 active)

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

Apple hardware
generation:
21.4 tokens/s
prompt processing (prefill):
235.1 tokens/s
quant:
4bit MLX (MLX)

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.

long-context

User reports Gemma 4 31B at 21.4 t/s generation and 235.1 t/s prompt processing on a single Mac Studio with an M3 Ultra and 512 GB unified memory. Setup is mlx-vlm with 4bit MLX, 36,777 actual input tokens and 128 generated tokens per run, three runs, peak memory 29.7 GB. The figures are medians; prompt processing p10/p90 are 234.8 and 236.1 t/s, and KV quantization, flash attention and speculative decoding are not exposed.

Oct 12, 2026
Apple hardware
generation:
33.0 tokens/s
prompt processing (prefill):
386.4 tokens/s
quant:
4bit MLX (MLX)

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.

long-context

User reports Qwen3.5 397B-A17B at 33 t/s generation and 386.4 t/s prompt processing on a single Mac Studio with an M3 Ultra and 512 GB unified memory. Setup is mlx-vlm with 4bit MLX, run at long context with 34,448 actual input tokens and 128 generated tokens per run, three runs, peak memory 234.9 GB. The figures are medians; prompt processing p10/p90 are 359.4 and 428.1 t/s, and median wall time was 105 seconds. KV quantization, flash attention and speculative decoding are not exposed, and cold-cache prefill is not established.

Oct 12, 2026
Apple hardware
generation:
67.6 tokens/s
prompt processing (prefill):
1645.0 tokens/s
quant:
4bit MLX (MLX)

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.

long-context

User reports Gemma 4 26B-A4B at 67.6 t/s generation and 1,645.0 t/s prompt processing on a Mac Studio with an M3 Ultra and 512 GB unified memory. Setup is mlx-vlm with 4bit MLX, run on a 36,777-token prompt with 128 generated tokens per run over three runs; both figures are medians. Peak memory was 20.0 GB and median wall time 27 seconds; the configured context cap and KV quantization are not stated.

Oct 12, 2026
Apple hardware
generation:
13.2 tokens/s
quant:
BF16 unquantized (MLX)

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.

vision

User reports Qwen3.8 at 13.2 t/s on an M3 Ultra with 512GB unified memory. Setup is mlx-vlm 0.6.13 with the unquantized bf16 MLX VLM build, peak memory 55.8 GB. The figure comes from one 470-token image-plus-text prompt, one run per build, presented as an order-of-magnitude guide rather than repeated benchmarking.

Oct 11, 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