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Meta: Llama 3.2 3B Instruct

Source description (English)

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it...

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
131,072 tokens
Maximum output
117,964 tokens
Architecture
text->text
Tokenizer
Llama3
Knowledge cutoff
2023-12-31
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.05
per 1M tokens
Output
$0.33
per 1M tokens
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"meta-llama/llama-3.2-3b-instruct","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
text
Output
text
API

Supported API parameters

frequency_penaltylogit_biaslogprobsmax_tokensmin_ppresence_penaltyrepetition_penaltyseedstopstructured_outputstemperaturetop_ktop_logprobstop_p
Available providers

2 providers

Checked: September 7, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

Parasail

bf16
Context
131K
Maximum output
118K
Input
$0.05
Output
$0.33
Cache read
Not provided
Cache write
Not provided

Cloudflare

Not provided
Context
80K
Maximum output
72K
Input
$0.0509
Output
$0.335
Cache read
Not provided
Cache write
Not provided
meta-llama

4 models

All models
meta-llama logometa-llama

Meta: Llama Guard 4 12B

Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM...

Context
164K
Input
image · text
Output
text
Input: $0.18Output: $0.18per 1M tokens
View model details →
meta-llama logometa-llama

Meta: Llama 4 Maverick

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

Context
1.0M
Input
text · image
Output
text
Input: $0.1875Output: $0.6525per 1M tokens
View model details →
meta-llama logometa-llama

Meta: Llama 4 Scout

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

Context
1.3M
Input
text · image
Output
text
Input: $0.1Output: $0.3per 1M tokens
View model details →
meta-llama logometa-llama

Meta: Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model...

Context
131K
Input
text
Output
text
Input: $0.1Output: $0.32per 1M tokens
View model details →