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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.

Vedi la fonte su OpenRouter Hugging Face
Panoramica

Specifiche del modello

Contesto
1.310.720 tokens
Output massimo
8192 tokens
Architettura
text+image->text
Tokenizer
Llama4
Limite di conoscenza
2024-08-31
Moderato
No
OPENROUTER

Prezzi completi

Tariffe sincronizzate da OpenRouter, per milione di token.

Input
$0.1
/M tokens
Output
$0.3
/M tokens
API

Avvio rapido

Chiama questo modello tramite l’API compatibile OpenAI di OpenRouter.

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!"}]}'
Capacità e modalità

Input → Output

Input
textimage
Output
text
API

Parametri API supportati

frequency_penaltylogit_biasmax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Provider disponibili

4 provider

Provider live su OpenRouter

Disponibilità, latenza, throughput e routing cambiano continuamente. Consulta la fonte per i dati correnti.

OpenRouter

DeepInfra

fp8
Contesto
328K
Output massimo
16K
Input
$0.100
Output
$0.300
Lettura cache
Non indicato
Scrittura cache
Non indicato

Groq

unknown
Contesto
131K
Output massimo
8K
Input
$0.110
Output
$0.340
Lettura cache
$0.055
Scrittura cache
Non indicato

Novita

bf16
Contesto
131K
Output massimo
118K
Input
$0.180
Output
$0.590
Lettura cache
Non indicato
Scrittura cache
Non indicato

Google

unknown
Contesto
1.3M
Output massimo
8K
Input
$0.250
Output
$0.700
Lettura cache
Non indicato
Scrittura cache
Non indicato
meta-llama

modelli

Tutti i modelli
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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...

Contesto
164K
Input
image · text
Output
text
Input: $0.180Output: $0.180per milione di token
Vedi i dettagli del modello →
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...

Contesto
1.0M
Input
text · image
Output
text
Input: $0.200Output: $0.696per milione di token
Vedi i dettagli del modello →
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...

Contesto
131K
Input
text
Output
text
Input: $0.710Output: $0.710per milione di token
Vedi i dettagli del modello →
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...

Contesto
60K
Input
text
Output
text
Input: $0.027Output: $0.201per milione di token
Vedi i dettagli del modello →