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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...

Ver fuente en OpenRouter Hugging Face
Resumen

Especificaciones del modelo

Context
1.000.000 tokens
Salida máxima
65.536 tokens
Arquitectura
text->text
Tokenizador
Other
Corte de conocimiento
Not provided
Moderado
No
Capacidades y modalidades

Input → Output

Input
text
Output
text
Razonamiento

No

API

Parámetros API compatibles

include_reasoningmax_tokensreasoningseedtemperaturetool_choicetoolstop_p
Proveedores disponibles

2 proveedores

DeepInfra

bf16
Context
262K
Salida máxima
131K
Input
$0.080
Output
$0.200
Lectura de caché
$0.040
Escritura de caché
Not provided

CoreWeave

bf16
Context
262K
Salida máxima
236K
Input
$0.100
Output
$0.250
Lectura de caché
$0.050
Escritura de caché
Not provided
nvidia

models

Todos los modelos
Nnvidia

NVIDIA: Nemotron 3.5 ASR Streaming Multilingual 0.6B

Nemotron 3.5 ASR Streaming Multilingual 0.6B is a speech recognition model from NVIDIA. Its prompt-conditioned, cache-aware FastConformer-RNNT design targets low-latency transcription across more than 40 languages for real-time captioning, voice...

Context
Not provided
Input
audio
Output
transcription
Input: $3.33Output: Freeper 1M tokens
Ver detalles del modelo →
Nnvidia

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...

Context
262K
Input
text
Output
text
Input: $0.080Output: $0.200per 1M tokens
Ver detalles del modelo →
Nnvidia

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...

Context
33K
Input
text
Output
embeddings
Input: FreeOutput: Freeper 1M tokens
Ver detalles del modelo →