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Llama 3.2 3B

Legacy$AffordableRun locally
Meta
CompareChat

Tiny 3B edge model from Meta optimized for on-device deployment. Small footprint with surprisingly capable text generation. Superseded by Llama 4 Scout for most use cases.

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Llama 3.2 3B is somewhat expensive at $0.05/M tokens input and $0.34/M tokens output. The model supports a 80K context window.

Best forCost-effective

Benchmarks

CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter

Specifications

Vision
Audio
Reasoning
Dense
Architecture
3B
Parameters
80K
Context
40K
Max output
2.0 GB-3.4 GB
Local download
4.0 GB-6.0 GB
Local RAM

Performance

Providers

Run locally

Run Llama 3.2 3B on your own computer with the Private AI Engine for free, with no rate limits and no third-party AI provider involved. idapt installs it and routes chat to your hardware automatically.

Download
2.0 GB-3.4 GB
Recommended RAM
4.0 GB-6.0 GB

ollama pull llama3.2:3b-instruct-q4_K_M

Misc

September 25, 2024
Released
Same family
MetaLlama 3.3 70BMetaLlama 3 70BMetaLlama 3.1 70B
CompareChat with Llama 3.2 3B

Compare with

OpenAIGPT 6 Astravs Llama 3.2 3BOpenAIGPT 5.6 Lunavs Llama 3.2 3BAnthropicClaude Fable 5.1vs Llama 3.2 3BAnthropicClaude Opus 5vs Llama 3.2 3BAnthropicClaude Sonnet 5vs Llama 3.2 3BAnthropicClaude Haiku 4.5vs Llama 3.2 3BGoogleGemini 3.8 Flashvs Llama 3.2 3BGoogleGemini 3.5 Flashvs Llama 3.2 3BGoogleGemini 3.5 Flash-Litevs Llama 3.2 3BGoogleGemma 4 31Bvs Llama 3.2 3BxAIGrok 4.6vs Llama 3.2 3BxAIGrok Build 0.1vs Llama 3.2 3BxAIGrok 4.1 Fastvs Llama 3.2 3BMetaMuse Spark 1.3vs Llama 3.2 3BDeepSeekDeepSeek V4 Pro (0813)vs Llama 3.2 3BDeepSeekDeepSeek V4 Flashvs Llama 3.2 3BMiniMaxMiniMax M3vs Llama 3.2 3BMoonshotAIKimi K3vs Llama 3.2 3BMoonshotAIKimi K2.7 Codevs Llama 3.2 3BZhipu AIGLM 5.3vs Llama 3.2 3BZhipu AIGLM 5.3 Flashvs Llama 3.2 3BQwenQwen3.8 Max (0902)vs Llama 3.2 3BQwenQwen3.7 Plusvs Llama 3.2 3BQwenQwen3 Coder Nextvs Llama 3.2 3BNVIDIANemotron 3 Ultravs Llama 3.2 3B
Frequently Asked Questions about Llama 3.2 3B▼

When was Llama 3.2 3B released?

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Llama 3.2 3B was released on September 25, 2024.

Who created Llama 3.2 3B?

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Llama 3.2 3B was created by Meta.

How much does Llama 3.2 3B cost?

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Llama 3.2 3B costs $0.05/M input tokens and $0.34/M output tokens.

What is Llama 3.2 3B API pricing?

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The Llama 3.2 3B API is priced at $0.05 per million input tokens and $0.34 per million output tokens. You can access Llama 3.2 3B through idapt.app alongside 200+ other AI models in one workspace.

Is Llama 3.2 3B a reasoning model?

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No, Llama 3.2 3B is not a reasoning model. It responds directly without an extended internal thinking step. For tasks requiring deep chain-of-thought reasoning, consider models like Claude, o-series from OpenAI, or Gemini Thinking.

Does Llama 3.2 3B support image or vision input?

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No, Llama 3.2 3B does not currently support image or vision input. It is a text-only model.

Does Llama 3.2 3B support audio?

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No, Llama 3.2 3B does not support audio input.

What is the context window of Llama 3.2 3B?

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Llama 3.2 3B has a context window of 80K tokens, meaning it can process approximately 60,000 words of context at once.

Is Llama 3.2 3B open source?

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Llama 3.2 3B is a proprietary model developed by Meta. The model weights and training data are not publicly available.

Where can I use Llama 3.2 3B?

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You can chat with Llama 3.2 3B on idapt.app — no separate API key required. idapt is an AI workspace with 200+ models, agents, computers, and tasks. You can also access Llama 3.2 3B through Meta's own API or platform.

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