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 2000 Ada
Compare setup details (1 active)

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

Qwen3.5 35B (3B active)

2× NVIDIA RTX 2000 Ada · Ollama · 16,000 ctx

Tone: positiveNVIDIA hardware
generation:
58.9 tokens/s
prompt processing (prefill):
2317.5 tokens/s
quant:
Q4_K_M (GGUF)
agenticcodingtool-uselong-context

User benchmarks a broad set of local models on a dual RTX 2000 Ada 16GB setup (32GB total VRAM) with 64GB system RAM, running Ollama in Docker on Debian 13. The headline result is Qwen3.5 35B-A3B Q4_K_M at 58.9 tok/s generation and 2317.5 tok/s prefill on a 16K-token prompt, though the user notes a reproducible CUDA illegal-memory-access crash with Flash Attention enabled on one prompt shape. Setup is Ollama with GGUF quants, 16K context for the headline run, and no KV cache quant stated. The user also reports a 100-task quality harness (250 points) and a separate speed harness with 512, 2K and 16K prompts. Other models tested include Gemma 4 26B-A4B Q4 at 42.5 tok/s, GPT-OSS 20B at 46.9 tok/s, Qwen3 30B-A3B IQ3 at 53.4 tok/s, and LFM2 24B-A2B Q4 at 102 tok/s. Dense models were slower: Mistral Small 3.2 24B Q4 at 12.6 tok/s and Qwen3.8 27B Q6_K_M at 8.8 tok/s. The user kept seven models and deleted the rest.

Oct 11, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB322NVIDIA RTX 3090219NVIDIA RTX 5090171NVIDIA 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

2718 total
Qwen3.81285
Qwen3.6285
Gemma 4168
DeepSeek V4 Flash149
Qwen3.5121
Qwen375
other635

Records by engine

1992 total
llama.cpp1014
vLLM207
Strata151
MLX107
Ollama84
other429

Use cases

coding 741agentic 470long-context 344tool-use 209vision 143summarization 61math 58creative-writing 46multilingual 30rp 13text-generation 9reasoning 3
coding741agentic470long-context344tool-use209vision143summarization61math58creative-writing46

Median generation t/s by GPU

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

RTX 509080RTX Pro 600067RTX 5070 Ti55M5 Ultra 256GB50RX 7900 XTX43RTX 409040RTX 309038RX 7800 XT 16GB35RTX 5090 Laptop 24GB34M3 Ultra 512GB32

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 27B715Qwen3.8 125B · 6B active506Qwen3.6 35B · 3B active194DeepSeek 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_M343UD-Q4_K_XL158NVFP4149Q8_01074-bit93IQ4_XS76Q4_K_XL75MXFP466IQ3_XXS66IQ3_S59