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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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 →

Model: Step 3.7 Flash

Compare setup details

QuantizationEngineRecorded GPU countReported context (tokens)

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

Step 3.7 Flash UD-IQ4_XS / Vulkan b9360 / depth0 / native PP512 and separate TG128

AMD Radeon 8060S integrated GPU (Strix Halo; installed RAM unreported) · llama.cpp b9360 / 6b4e4bd58 / Vulkan RADV

generation:: 22.2 tokens/s
prompt processing (prefill):: 241.4 tokens/s
quant:: UD-IQ4_XS (GGUF)
kv:: Q8
flash attention:: on

User reports Step 3.7 Flash at 22.2 t/s generation and 241.4 t/s prompt processing on an AMD Radeon 8060S (RADV STRIX_HALO) iGPU. Setup is llama-bench with UD-IQ4_XS, q8_0 KV cache for both types, FA 1, ngl 999, batch 2048 and eight CPU threads. At d0 the run measured PP512 241.44 t/s and TG128 22.19 t/s; generation fell to 18.23 t/s at d65536.

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Community benchmarks snapshot

Records by GPU

AMD Strix Halo 128GB322NVIDIA RTX 3090221NVIDIA RTX 5090171NVIDIA DGX Spark92NVIDIA RTX 5060 Ti 16GB72NVIDIA RTX Pro 6000 Blackwell71M5 Max 48GB67NVIDIA RTX 3060 12GB65AMD Radeon AI PRO R9700 32GB63NVIDIA RTX 409057

Records by model

Qwen3.81287

Qwen3.6285

Gemma 4168

DeepSeek V4 Flash149

Qwen3.5123

Qwen375

other636

Records by engine

llama.cpp1015

vLLM209

Strata151

MLX107

Ollama84

other429

Use cases

coding 742agentic 472long-context 345tool-use 209vision 143summarization 61math 58creative-writing 47multilingual 30rp 13text-generation 9reasoning 3

coding742agentic472long-context345tool-use209vision143summarization61math58creative-writing47

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 309037RX 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 27B717Qwen3.8 125B · 6B active506Qwen3.6 35B · 3B active194DeepSeek V4 Flash 284B · 13B active132Qwen3.6 27B80Gemma 4 26B · 4B active59DeepSeek V4.1 Flash 552B · 16B active51GLM-5.3 320B · 18B active45

Quants

Q4_K_M344UD-Q4_K_XL158NVFP4149Q8_01074-bit94IQ4_XS76Q4_K_XL75MXFP466IQ3_XXS66IQ3_S60