ai-tier / edge

Pi 5 LLM benchmarks

Snapshot · ai-tier

Raspberry Pi 5 · 16 GB RAMAll performance measurements are for this device.

59 measured models · 16 GB RAM. Capability summarises instruction following, tool calling and finding information in long prompts. Speed and memory are measured on the Pi 5. A dash means a result is not available yet.

Capability summarises instruction following, tool calling and finding information in long prompts. Speed and memory refer to the Raspberry Pi 5. — means unavailable.
ModelCapability / 100Output tok/sPrompt tok/sFirst token · sTask time · sPeak memory · MiBParameters · B
Qwen3-0.6BQ4_K_M · 4,096 context · reasoning off7228.41552.821.71,2970.6
Qwen3-4BQ4_K_M · 4,096 context · reasoning off874.722.218.6101.55,4714
Qwen3-8BQ4_K_M · 4,096 context · reasoning off772.410.736.8170.89,4548
Qwen3.5-9BQ4_K_M · 4,096 context · reasoning off881.99.842.3173.610,3319
Qwen3.5-4BQ4_K_M · 4,096 context · reasoning off763.415.622.594.85,6914
Qwen2.5 7B InstructQ4_K_M · 4,096 context · reasoning off862.711.635.21558,9487.6
Qwen3-VL 8B InstructQ4_K_M · 4,096 context · reasoning off902.410.936.1164.59,4948.8
Qwen2.5 0.5B InstructQ4_K_M · 4,096 context · reasoning off5029.191.54.420.57450.494
Qwen2.5 1.5B InstructQ4_K_M · 4,096 context · reasoning off7211.961.46.632.72,0701.5
Llama 3.1 8B InstructQ4_K_M · 4,096 context · reasoning off752.61138.9165.79,8098
Llama 3.2 1B InstructQ4_K_M · 4,096 context · reasoning off5114.585527.91,7961.2
Qwen2.5 3B InstructQ4_K_M · 4,096 context · reasoning off76629.213.866.53,9093.1
Gemma 4 E4B ITQ4_K_M · 4,096 context · reasoning off903.514.830.2120.17,4338
Qwen3-1.7BQ4_K_M · 4,096 context · reasoning off6910.456.97.2422,5961.7
Qwen3-VL 4B InstructQ4_K_M · 4,096 context · reasoning off894.822.218.494.65,4894.4
Qwen3.5-0.8BQ4_K_M · 4,096 context · reasoning off6715.193.54.620.91,2670.8
Qwen3-4B-Instruct-2507Q4_K_M · 4,096 context · reasoning off804.32118.598.95,4704
Qwen3.5-2BQ4_K_M · 4,096 context · reasoning off537.747.5941.72,7132
Gemma 4 E2B ITQ4_K_M · 4,096 context · reasoning off757.431.914.662.14,5355.1
Nemotron 3 Nano 4BQ4_K_M · 4,096 context · reasoning off783.59.244167.94,1744
SmolLM2 135M InstructQ4_K_M · 4,096 context · reasoning off2797.6265.11.710.22990.135
MiniCPM5 2BQ4_K_M · 4,096 context · reasoning off718.140.410.452.52,9012.5
Llama 3.2 3B InstructQ4_K_M · 4,096 context · reasoning off775.928.914.870.44,4333.2
SmolLM3 3BQ4_K_M · 4,096 context · reasoning off656.129.115.1704,0883
Granite 4.1 3BQ4_K_M · 4,096 context · reasoning off834.8251681.84,4413.4
Hermes 3 Llama 3.1 8BQ4_K_M · 4,096 context · reasoning off752.61137.41649,7818
Olmo 3 7B InstructQ4_K_M · 4,096 context · reasoning off732.511.834.2164.112,7207.3
Ornith 1.5 9BQ4_K_M · 4,096 context · reasoning off5821043194.110,7959.7
Phi-4 Mini InstructQ4_K_M · 4,096 context · reasoning off804.823.816.786.45,3873.8
MiniCPM5 1BQ4_K_M · 4,096 context · reasoning off6920.5114.83.722.61,2611.1
SmolLM2 1.7B InstructQ4_K_M · 4,096 context · reasoning off4710.850.68.746.82,8911.7
SmolLM2 360M InstructQ4_K_M · 4,096 context · reasoning off3042.198.64.423.35930.36
Agents-A1 4BQ4_K_M · 4,096 context · reasoning off623.519.319.4—5,6124.5
Nanbeige4.2 3BQ4_K_M · 4,096 context · reasoning off632.712.239.1218.45,3024.2
Ministral 3 8B InstructQ4_K_M · 4,096 context · reasoning off392.19.849.4—9,8318.9
LFM2.5-1.2B-InstructQ4_K_M · 4,096 context · reasoning off651681.25.321.91,5471.2
Ministral 3 3B InstructQ4_K_M · 4,096 context · reasoning off515.526.919.2—4,6383.8
Granite 4.1 8BQ4_K_M · 4,096 context · reasoning off782.19.341.6200.710,1978.8
Granite 4.2 8BQ4_K_M · 4,096 context · reasoning off5329.247257.710,3688.8
K2 Horizon 7BQ4_K_M · 40,960 context · reasoning on602.210.436.1229.614,4989
LFM2.5-230MQ4_K_M · 4,096 context · reasoning off4772.3451154080.23
LFM2.5-350MQ4_K_M · 4,096 context · reasoning off4750.9266.81.67.15670.35
OLMo 2 1B InstructQ4_K_M · 4,096 context · reasoning off4414.177.15.327.32,1451.5
LFM2-1.2BQ4_K_M · 4,096 context · reasoning off601680.25.3241,5471.2
Granite 4.2 3BQ4_K_M · 4,096 context · reasoning off604.924.218.198.64,3513.7
Spark-X2.5 4BQ4_K_M · 4,096 context · reasoning off624.42122.2975,4624.1
LFM2.5-8B-A1BQ4_K_M · 4,096 context · reasoning on359.435.410.852.210,0038.3
K2 Horizon 0.9BQ4_K_M · 40,960 context · reasoning on5417.886.15.142.33,4701.1
K2 Horizon 3.7BQ4_K_M · 40,960 context · reasoning on653.921.119.2144.810,3565.1
LFM2-350MQ4_K_M · 4,096 context · reasoning off4749.5273.81.67.75670.35
LFM2-8B-A1BQ4_K_M · 4,096 context · reasoning off7111.738.210.9429,7638.3
Ling 3.0 TinyQ4_K_M · 4,096 context · reasoning off8310.151.88.844.99,2467.9
LFM3-1.7BQ4_K_M · 4,096 context · reasoning off4810.355.87.433.72,2851.7
LFM2-700MQ4_K_M · 4,096 context · reasoning off6724.7130.73.314.81,0390.7
Spark-X2.5 1.7BQ4_K_M · 4,096 context · reasoning off6510.555.28.434.52,3781.7
G9v3 3BQ4_K_M · 4,096 context · reasoning off666.731.913.168.43,5933
Tulu 3.1 Llama 3.1 8BQ4_K_M · 4,096 context · reasoning off792.61137.1162.49,3488
LFM3-VL-2BQ4_K_M · 4,096 context · reasoning off6410.356.27.430.92,2851.9
Spark-X2.6 4BQ4_K_M · 4,096 context · reasoning off832.519.223.81145,9384.1

Rows use the device’s default context where measured. Every result link includes its exact settings, measurement date and source identity. Parameter count is metadata, not measured memory. Ranking by one metric alone does not establish the best model for a task.

Measured comparisons