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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 5060 8GB
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: mixedNVIDIA hardware
generation:
30.0 tokens/s
quant:
Q4_K_XL (GGUF)
kv:
Q8_0
codingagentic

User reports Qwen3.6 35B-A3B at close to 30 t/s on an RTX 5060 8GB with a Ryzen 5 3600 and 32GB RAM. Setup is LM Studio with Q4_K_XL weights and a Q8_0 KV cache, reaching 98k context by moving some layers out of VRAM; total VRAM use stays below 7.5GB and RAM around 28-30GB. The user is asking for a better agentic coding model for this hardware and doubts Qwen3.8 27B would fit, and has not yet tested the 2-bit Ternary Bonsai 2.

Oct 18, 2026
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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB318NVIDIA RTX 3090219NVIDIA RTX 5090170NVIDIA DGX Spark91NVIDIA RTX 5060 Ti 16GB72NVIDIA RTX Pro 6000 Blackwell70M5 Max 48GB67NVIDIA RTX 3060 12GB65AMD Radeon AI PRO R9700 32GB63NVIDIA RTX 409057

Records by model

2692 total
Qwen3.81270
Qwen3.6282
Gemma 4168
DeepSeek V4 Flash149
Qwen3.5121
Qwen375
other627

Records by engine

1976 total
llama.cpp1007
vLLM205
Strata149
MLX106
Ollama83
other426

Use cases

coding 733agentic 466long-context 341tool-use 207vision 134summarization 61math 57creative-writing 46multilingual 29rp 13text-generation 9reasoning 3
coding733agentic466long-context341tool-use207vision134summarization61math57creative-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 27B709Qwen3.8 125B · 6B active498Qwen3.6 35B · 3B active192DeepSeek V4 Flash 284B · 13B active132Qwen3.6 27B79Gemma 4 26B · 4B active59DeepSeek V4.1 Flash 552B · 16B active48GLM-5.3 320B · 18B active45

Quants

Q4_K_M341UD-Q4_K_XL156NVFP4148Q8_01074-bit91IQ4_XS76Q4_K_XL74MXFP466IQ3_XXS65IQ3_S59