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Meta: Llama 4 Scout

Source description (English)

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...

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
1,310,720 tokens
Maximum output
16,384 tokens
Architecture
text+image->text
Tokenizer
Llama4
Knowledge cutoff
2024-08-31
Moderated
No
OPENROUTER

Complete pricing

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

Input
$0.1
per 1M tokens
Output
$0.3
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-4-scout","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
textimage
Output
text
API

Supported API parameters

frequency_penaltylogit_biasmax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Available providers

3 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

DeepInfra

fp8
Context
328K
Maximum output
16K
Input
$0.1
Output
$0.3
Cache read
Not provided
Cache write
Not provided

Novita

bf16
Context
131K
Maximum output
118K
Input
$0.18
Output
$0.59
Cache read
Not provided
Cache write
Not provided

Google

Not provided
Context
1.3M
Maximum output
8K
Input
$0.25
Output
$0.7
Cache read
Not provided
Cache write
Not provided
meta-llama

4 models

All models
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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 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 →
meta-llama logometa-llama

Meta: Llama 3.2 1B Instruct

Llama 3.2 1B is a 1-billion-parameter language model focused on efficiently performing natural language tasks, such as summarization, dialogue, and multilingual text analysis. Its smaller size allows it to operate...

Context
60K
Input
text
Output
text
Input: $0.027Output: $0.201per 1M tokens
View model details →