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NVIDIA: Llama Nemotron Embed VL 1B V2 (free)

The Llama Nemotron Embed VL 1B V2 embedding model is optimized for multimodal question-answering retrieval. This model is free to use. 131,072 token context window.

Vedi la fonte su OpenRouter Hugging Face
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Specifiche del modello

Contesto
131.072 tokens
Output massimo
117.964 tokens
Architettura
text+image->embeddings
Tokenizer
Other
Limite di conoscenza
Non indicato
Moderato
No
OPENROUTER

Prezzi completi

Tariffe sincronizzate da OpenRouter, per milione di token.

Input
Gratuito
/M tokens
Output
Gratuito
/M tokens
API

Avvio rapido

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

curl https://openrouter.ai/api/v1/embeddings \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"nvidia/llama-nemotron-embed-vl-1b-v2:free","input":"Your text here"}'
Capacità e modalità

Input → Output

Input
textimage
Output
embeddings
API

Parametri API supportati

max_tokensseedtemperaturetop_p
Provider disponibili

0 provider

Provider live su OpenRouter

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

OpenRouter

Nell’ultima sincronizzazione non erano disponibili dettagli sugli endpoint.

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Contesto
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Input
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Input: $3.33Output: Gratuitoper milione di token
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NVIDIA: Nemotron 3.5 Lightning

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...

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Input
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Output
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Input: $0.080Output: $0.200per milione di token
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NVIDIA: Nemotron 3.5 Lightning (free)

NVIDIA Nemotron 3.5 Lightning is an open mixture-of-experts model from NVIDIA, with 3B active parameters out of 30B total. It is suited for high-throughput agentic workloads and specialized tasks that...

Contesto
1M
Input
text
Output
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Input: GratuitoOutput: Gratuitoper milione di token
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NVIDIA: Nemotron 3 Embed 1B (free)

NVIDIA Nemotron 3 Embed 1B is an open text embedding model from NVIDIA, optimized for high-throughput, low-latency retrieval. It is suited for enterprise search, RAG, code retrieval, and agentic retrieval...

Contesto
33K
Input
text
Output
embeddings
Input: GratuitoOutput: Gratuitoper milione di token
Vedi i dettagli del modello →