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.

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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 5080
Compare setup details (1 active)

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

Devstral 23.6B , Ollama 2597-token prompt / 4096 configured context

NVIDIA RTX 5080 · Ollama · 4,096 ctx

NVIDIA hardware
generation:
34.9 tokens/s
prompt processing (prefill):
5334.8 tokens/s
quant:
Q4_K_M (GGUF)

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 Devstral 24B at 34.9 t/s generation and 5334.83 t/s prompt processing on an NVIDIA RTX 5080. Setup is Ollama with Q4_K_M at a configured 4096-token context; the recorded prompt was 2597 tokens, not a full 4096-token prefill. The figure is a median of 3 fresh-prefill runs at temperature 0 and seed 42, with a unique nonce per repetition to avoid prompt-cache hits; the source captured only 4096-context cells and warns against extrapolating to 8K or 16K.

Oct 12, 2026
NVIDIA hardware
generation:
51.7 tokens/s
prompt processing (prefill):
1928.1 tokens/s
quant:
Q4_K_M (GGUF)

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-Coder 30B-A3B at 51.7 t/s generation and 1928.1 t/s prompt processing on an NVIDIA RTX 5080. Setup is Ollama with Q4_K_M at a configured 16384-token context, with partial CPU/RAM offload since the model exceeds VRAM. The recorded prompt was 1347 tokens, not a full 16384-token prefill, and the figures are medians of 3 fresh-prefill runs; 74% GPU residency was measured separately at 8K context, not this cell.

Oct 12, 2026

Qwen2.5 14B Coder

NVIDIA RTX 5080 · Ollama · 16,384 ctx

NVIDIA hardware
generation:
93.4 tokens/s
prompt processing (prefill):
4842.2 tokens/s
quant:
Q4_K_M (GGUF)

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 Qwen2.5 Coder at 93.4 t/s generation and 4842.2 t/s prompt processing on an NVIDIA RTX 5080. Setup is Ollama with Q4_K_M at 16384 tokens of configured context, on one 16GB card. The recorded prompt was 1368 tokens, not a 16384-token prefill, and the figures are medians of 3 fresh-prefill runs at temperature 0 with a 256-token target.

Oct 12, 2026

Qwen2.5 7B Coder

NVIDIA RTX 5080 · Ollama · 16,384 ctx

NVIDIA hardware
generation:
171.4 tokens/s
prompt processing (prefill):
9825.5 tokens/s
quant:
Q4_K_M (GGUF)

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 Qwen2.5 Coder-7B at 171.4 t/s generation on one NVIDIA RTX 5080 16GB. Setup is Ollama with Q4_K_M at 16384 tokens of configured context, on a Ryzen 7 7800X3D under Windows 11. The figure is the median of 3 fresh-prefill runs with a 1368-token prompt, not a 16384-token prefill; prompt processing was 9825.5 t/s.

Oct 12, 2026

Qwen2.5 7B

NVIDIA RTX 5080 · Ollama · 16,384 ctx

NVIDIA hardware
generation:
176.6 tokens/s
prompt processing (prefill):
9984.4 tokens/s
quant:
Q4_K_M (GGUF)

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 Qwen2.5 7B at 176.6 t/s generation and 9984.4 t/s prompt processing on an NVIDIA RTX 5080. Setup is Ollama with Q4_K_M at a configured 16384-token context, on one 16GB card. The recorded prompt was 1674 tokens, not a full 16384-token prefill, and the figures are medians of 3 fresh-prefill runs.

Oct 12, 2026

Llama 3.2 3B

NVIDIA RTX 5080 · Ollama · 16,384 ctx

NVIDIA hardware
generation:
298.6 tokens/s
prompt processing (prefill):
19397.4 tokens/s
quant:
Q4_K_M (GGUF)

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 Llama 3.2 3B at 298.6 t/s generation and 19397.4 t/s prompt processing on an NVIDIA RTX 5080. Setup is Ollama with Q4_K_M at a configured 16384-token context, with an actual recorded prompt of 1657 tokens rather than a full 16384-token prefill. The figures are medians of 3 fresh-prefill runs, derived from Ollama eval_count/eval_duration rather than TTFT division, with temperature 0 and a unique nonce per repetition to avoid prompt-cache hits.

Oct 12, 2026

Qwen2.5 14B

NVIDIA RTX 5080 · Ollama · 16,384 ctx

NVIDIA hardware
generation:
94.6 tokens/s
prompt processing (prefill):
4864.7 tokens/s
quant:
Q4_K_M (GGUF)

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 Qwen2.5 14B at 94.6 t/s generation and 4864.7 t/s prompt processing on one NVIDIA RTX 5080 16GB. Setup is Ollama with Q4_K_M at a configured 16384-token context; the recorded prompt was 1674 tokens, not a full 16384-token prefill. The figures are medians of 3 fresh-prefill runs, with 256 target output tokens and a unique nonce per repetition to avoid prompt-cache hits.

Oct 12, 2026
NVIDIA hardware
generation:
178.3 tokens/s
prompt processing (prefill):
10328.6 tokens/s
quant:
MXFP4 (GGUF)

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 gpt-oss 21B-A3.6B at 178.3 t/s on an NVIDIA RTX 5080. Setup is Ollama with MXFP4 at 16384 configured context, on one 16GB card; the recorded prompt was 1360 tokens, not a full 16384-token prefill. The figure is a median of 3 fresh-prefill runs at temperature 0 and seed 42, with a unique nonce per repetition to avoid prompt-cache hits; it is the Aug 26 re-capture, not the faster Aug 12 capture.

Oct 12, 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