Model
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Llama 3.2 1B

OPEN
Meta · Llama 3.2 family · released Sep 25, 2024

On-device text model with 128K context, pruned/distilled from larger Llama 3.1 models, for edge and mobile.

ReasoningCodingVisionFunction callingTool useAgentic
81.3
Elo · rank #390
Parameters
1.24B
Active params
1.24B (dense)
Context
128K tokens
Architecture
Dense decoder-only Transformer (GQA), distilled from Llama 3.1 8B/70B
License
Llama 3.2 Community License Agreement
Languages
8+
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
ARC-ChallengeReasoning59.4%#94
best: Llama 3.1 405B · 96.9%
Arena EloHuman preference1111#47
best: Claude Fable 5 · 1505
BIG-Bench HardReasoning35.0%#119
best: ERNIE 4.5 300B-A47B · 94.3%
BFCLAgents25.7%#28
best: SmolLM3 3B (No Thinking) · 92.3%
GPQA DiamondReasoning27.2%#268
best: GPT-5.6 · 94.6%
GSM8KMath44.4%#140
best: Llama 3.1 405B · 96.8%
HellaSwagReasoning41.2%#153
best: Claude 3 Opus · 95.4%
IFEvalReasoning59.5%#122
best: Gemma 4 26B A4B · 98.5%
MATH-500Math30.6%#164
best: GPT-5 · 99.4%
MGSMMath24.5%#51
best: OpenAI o4-mini · 93.7%
MMLU-ProKnowledge16.8%#174
best: Claude Fable 5 · 91.5%
MMLUKnowledge49.3%#233
best: OpenAI o3 · 92.9%
Run it locally
VRAM @ Q4
1.3 GB
VRAM @ FP16
2.5 GB
Fits on (Q4)
RTX 3060 12GBRTX 4070 Ti 16GBRTX 3090 24GBRTX 4090 24GBRTX 5090 32GBM4 Pro 48GBM3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
No widely reported RTX 4090 llama.cpp Q4 benchmark found; model is tiny (~1.3GB Q4) and expected to run at several hundred tok/s
Quantizations
GGUF Q4 · AWQ · GPTQ · MLX
Llama 3.2 family
Elo progression across releases
Llama 3.2 11B VisionSep 2024682.7Llama 3.2 1BSep 202481.3Llama 3.2 3BSep 2024380.2Llama 3.2 90B VisionSep 2024999.5
Resources
HFmeta-llama/Llama-3.2-1B-InstructGHmeta-llama/llama-modelsDOCSllama.com/docs/model-cards-and-prompt-formats/llama3_2APIAvailable via Meta API
API price weights · each benchmark row carries its own source badge (see methodology)