Raspberry Pi 5

Products · · Board

Raspberry Pi 5

Chip
Broadcom BCM2712
Unified memory
2, 4, 8 or 16 GB
Launch price
$50–$120
Released
2023

Product page (opens in a new tab) Full AI report

Configurations

Pick one to see which models it runs. More memory lets larger models fit; bandwidth sets how fast they answer.

Configuration Memory Usable for AI Bandwidth LLMs that run well Launch price
Broadcom BCM2712 2.0 GB 1.2 GB 17 GB/s 28 of 619 $50
Broadcom BCM2712 4.0 GB 2.8 GB 17 GB/s 84 of 619 $60
Broadcom BCM2712 8.0 GB 6.4 GB 17 GB/s 96 of 619 $80
Broadcom BCM2712 16.0 GB 13.6 GB 17 GB/s 103 of 619 $120

Specifications 4.0 GB configuration

MakerRaspberry Pi
TypeBoard
ChipRaspberry Pi 5 (4 GB)
Unified memory4.0 GB
Usable for AI models2.8 GB
Memory bandwidth17 GB/s
FP16 compute0.2 TFLOPS
NotesBCM2712, 4× Cortex-A76 at 2.4 GHz. Launch prices: $60 (4 GB) and $80 (8 GB) in October 2023, $50 (2 GB) in August 2024, $120 (16 GB) in January 2025. Raspberry Pi has raised prices several times since December 2025 as memory costs rose; the 16 GB board is $385 from 2 November 2026. The 1 GB version ($45) is too small for language models and isn’t listed.
Product pagewww.raspberrypi.com (opens in a new tab)

Best LLMs for the Raspberry Pi 5 4.0 GB

Quality Model Quant Memory Speed Runs
53Fair quality (C) · 53 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 71/100 (quality, fit, speed and memory use) sets the ranking. LFM3 1.7BLiquid AI Q4_K_M 2.0 GB 10.1 tok/s Runs well
30Basic quality (D) · 30 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. Unlimited OCR 2 (3B-A0.6B)Baidu Q2_K 2.7 GB 41.6 tok/s Runs welltight fit
42Fair quality (C) · 42 of 100: how capable the model is at Q3_K_M, whatever it runs on. Match score 67/100 (quality, fit, speed and memory use) sets the ranking. LFM3-VL 2BLiquid AI Q3_K_M 1.9 GB 11.8 tok/s Runs well
42Fair quality (C) · 42 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM5 2BOpenBMB Q2_K 2.2 GB 11.4 tok/s Runs well
28Basic quality (D) · 28 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. Unlimited OCR (3B-A0.6B)Baidu Q2_K 2.7 GB 41.6 tok/s Runs welltight fit
46Fair quality (C) · 46 of 100: how capable the model is at Q2_K, whatever it runs on. Match score 66/100 (quality, fit, speed and memory use) sets the ranking. Spark-X2.6 4BSparkLLM Q2_K 2.8 GB 7.0 tok/s Slowtight fit
39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. PaddleOCR-VL 1.6 0.9BBaidu Q4_K_M 1.6 GB 18.2 tok/s Runs well
39Basic quality (D) · 39 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-OCR 1.0 1.3BOpenBMB Q4_K_M 1.7 GB 13.5 tok/s Runs well
38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 65/100 (quality, fit, speed and memory use) sets the ranking. MiniCPM-V 4.7 1BOpenBMB Q4_K_M 1.9 GB 11.3 tok/s Runs well
38Basic quality (D) · 38 of 100: how capable the model is at Q4_K_M, whatever it runs on. Match score 64/100 (quality, fit, speed and memory use) sets the ranking. TeleOCRXingChen-AGI Q4_K_M 2.6 GB 12.3 tok/s Runs welltight fit

Best Image models for the Raspberry Pi 5 4.0 GB

Quality Model Quant Memory Speed Runs
28Basic quality (D) · 28 of 100: how capable the model is at FP16, whatever it runs on. Match score 57/100 (quality, fit, speed and memory use) sets the ranking. SD TurboStability AI FP16 2.6 GB 15 s Runs welltight fit · encoder unloaded after use
42Fair quality (C) · 42 of 100: how capable the model is at FP16, whatever it runs on. Match score 55/100 (quality, fit, speed and memory use) sets the ranking. Realistic Vision V5.1SG161222 FP16 2.5 GB 3.8 min Very slowtight fit · encoder unloaded after use
40Fair quality (C) · 40 of 100: how capable the model is at FP16, whatever it runs on. Match score 54/100 (quality, fit, speed and memory use) sets the ranking. DreamShaper 8Lykon FP16 2.5 GB 3.8 min Very slowtight fit · encoder unloaded after use
30Basic quality (D) · 30 of 100: how capable the model is at FP16, whatever it runs on. Match score 53/100 (quality, fit, speed and memory use) sets the ranking. LCM DreamShaper v7Tsinghua (LCM) FP16 2.5 GB 48 s Slowtight fit · encoder unloaded after use
50Fair quality (C) · 50 of 100: how capable the model is at FP16, whatever it runs on. Match score 52/100 (quality, fit, speed and memory use) sets the ranking. PixArt-Σ XL 1024PixArt FP16 2.3 GB 5.9 min Very slowCPU offload
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 51/100 (quality, fit, speed and memory use) sets the ranking. Stable Diffusion 1.5Stability AI / Runway FP16 2.5 GB 3.8 min Very slowtight fit · encoder unloaded after use

Best Video models for the Raspberry Pi 5 4.0 GB

Quality Model Quant Memory Speed Runs
35Basic quality (D) · 35 of 100: how capable the model is at FP16, whatever it runs on. Match score 43/100 (quality, fit, speed and memory use) sets the ranking. AnimateDiff v3 (SD 1.5)Shanghai AI Lab FP16 2.6 GB 78.8 min Very slowtight fit · CPU offload

Best Decision models for the Raspberry Pi 5 4.0 GB

Quality Model Quant Memory Speed Runs
78Great quality (A) · 78 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 84/100 (quality, fit, speed and memory use) sets the ranking. OpenAI Privacy FilterOpenAI Q8_0 2.4 GB 159 ms Runs welltight fit
86Excellent quality (A+) · 86 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 81/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3.5Jina AI Q8_0 1.7 GB 3.5 s Very slow
84Great quality (A) · 84 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 80/100 (quality, fit, speed and memory use) sets the ranking. Jina Reranker v3Jina AI Q8_0 1.7 GB 3.5 s Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 79/100 (quality, fit, speed and memory use) sets the ranking. GLiNER2.5 DecideFastino Q8_0 1.2 GB 1.5 s Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. FRIDA-DecisionsSber AI Q8_0 1.7 GB 2.5 s Very slow
80Great quality (A) · 80 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. Qwen3 Reranker 0.6BAlibaba Q8_0 1.7 GB 3.5 s Very slow
81Great quality (A) · 81 of 100: how capable the model is at Q6_K, whatever it runs on. Match score 78/100 (quality, fit, speed and memory use) sets the ranking. mxbai-rerank-large v2Mixedbread Q6_K 2.1 GB 8.9 s Very slow
76Great quality (A) · 76 of 100: how capable the model is at Q8_0, whatever it runs on. Match score 77/100 (quality, fit, speed and memory use) sets the ranking. Llama Prompt Guard 2 86MMeta Q8_0 1.0 GB 1.7 s Very slow

Spec sources

Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.

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