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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. $0.10 per million input tokens, $0.30 per million output tokens. 1,310,720 token context window, maximum output of 16,384 tokens. Higher uptime with 4 providers. Includes independent benchmarks from Artificial Analysis.

View source on OpenRouter Hugging Face
Overview

Model specifications

Context
1,310,720 tokens
Maximum output
8,192 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
/M tokens
Output
$0.3
/M tokens
API

Quick start

Call this exact model ID through OpenRouter’s OpenAI-compatible API.

curl 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

4 providers

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
$0.100
Output
$0.300
Cache read
Not provided
Cache write
Not provided

Groq

unknown
Context
131K
Maximum output
8K
Input
$0.110
Output
$0.340
Cache read
$0.055
Cache write
Not provided

Novita

bf16
Context
131K
Maximum output
118K
Input
$0.180
Output
$0.590
Cache read
Not provided
Cache write
Not provided

Google

unknown
Context
1.3M
Maximum output
8K
Input
$0.250
Output
$0.700
Cache read
Not provided
Cache write
Not provided
meta-llama

models

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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...

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Meta: Llama 4 Maverick

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Input: $0.200Output: $0.696per 1M tokens
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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...

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Input: $0.710Output: $0.710per 1M tokens
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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...

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Input: $0.027Output: $0.201per 1M tokens
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