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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. $0.027 per million input tokens, $0.201 per million output tokens. 60,000 token context window, maximum output of 60,000 tokens. Includes independent benchmarks from Artificial Analysis.

Vedi la fonte su OpenRouter Hugging Face
Panoramica

Specifiche del modello

Contesto
60.000 tokens
Output massimo
54.000 tokens
Architettura
text->text
Tokenizer
Llama3
Limite di conoscenza
2023-12-31
Moderato
No
OPENROUTER

Prezzi completi

Tariffe sincronizzate da OpenRouter, per milione di token.

Input
$0.027
/M tokens
Output
$0.201
/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-3.2-1b-instruct","messages":[{"role":"user","content":"Hello!"}]}'
Capacità e modalità

Input → Output

Input
text
Output
text
API

Parametri API supportati

frequency_penaltylogit_biasmax_tokensmin_ppresence_penaltyrepetition_penaltyseedstoptemperaturetop_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

Cloudflare

unknown
Contesto
60K
Output massimo
54K
Input
$0.027
Output
$0.201
Lettura cache
Non indicato
Scrittura cache
Non indicato
meta-llama

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 →
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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
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 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
1.3M
Input
text · image
Output
text
Input: $0.110Output: $0.340per 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 →