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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. $0.18 per million input tokens, $0.18 per million output tokens. 163,840 token context window, maximum output of 16,384 tokens.

Vedi la fonte su OpenRouter Hugging Face
Panoramica

Specifiche del modello

Contesto
163.840 tokens
Output massimo
16.384 tokens
Architettura
text+image->text
Tokenizer
Other
Limite di conoscenza
2024-08-31
Moderato
No
OPENROUTER

Prezzi completi

Tariffe sincronizzate da OpenRouter, per milione di token.

Input
$0.18
/M tokens
Output
$0.18
/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-guard-4-12b","messages":[{"role":"user","content":"Hello!"}]}'
Capacità e modalità

Input → Output

Input
imagetext
Output
text
API

Parametri API supportati

frequency_penaltylogit_biasmax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstoptemperaturetop_ktop_p
Provider disponibili

1 Provider

Provider live su OpenRouter

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

OpenRouter

DeepInfra

bf16
Contesto
164K
Output massimo
16K
Input
$0.180
Output
$0.180
Lettura cache
Non indicato
Scrittura cache
Non indicato
meta-llama

modelli

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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
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Input
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Output
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Input: $0.200Output: $0.696per milione di token
Vedi i dettagli del modello →
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...

Contesto
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Input
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Output
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Input: $0.110Output: $0.340per milione di token
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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...

Contesto
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Input
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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 →