LiteLLMModels

Llama 3.2 Nv Rerankqa 1B V2 API Pricing

As of October 10, 2026, Llama 3.2 Nv Rerankqa 1B V2 costs $0 per 1K queries on NVIDIA NIM.

By MetaModel ID nvidia_nim/nvidia/llama-3_2-nv-rerankqa-1b-v2Prices updated Checked
Input
$0 / 1M tokens
Output
$0 / 1M tokens
Providers
1
Added to LiteLLM
October 2025

Llama 3.2 Nv Rerankqa 1B V2 pricing by provider

2 listings across 1 provider. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.

ProviderModel name in LiteLLMInputOutputPer 1K queriesContext
NVIDIA NIMnvidia_nim/nvidia/llama-3_2-nv-rerankqa-1b-v2$0$0$0–
NVIDIA NIMnvidia_nim/ranking/nvidia/llama-3.2-nv-rerankqa-1b-v2$0$0$0–

Use Llama 3.2 Nv Rerankqa 1B V2 with LiteLLM

Call Llama 3.2 Nv Rerankqa 1B V2 through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/rerank. LiteLLM tracks the cost of every request at these prices.

Python SDK
from litellm import completion

response = completion(
    model="nvidia_nim/nvidia/llama-3_2-nv-rerankqa-1b-v2",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: llama-3_2-nv-rerankqa-1b-v2
    litellm_params:
      model: nvidia_nim/nvidia/llama-3_2-nv-rerankqa-1b-v2
      # credentials: see the provider's LiteLLM docs page
Call the proxy
curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
    "model": "llama-3_2-nv-rerankqa-1b-v2",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Llama 3.2 Nv Rerankqa 1B V2 FAQ

How much does Llama 3.2 Nv Rerankqa 1B V2 cost?

Llama 3.2 Nv Rerankqa 1B V2 costs $0 per 1K queries on NVIDIA NIM.

Which providers offer Llama 3.2 Nv Rerankqa 1B V2?

Llama 3.2 Nv Rerankqa 1B V2 is available from NVIDIA NIM through LiteLLM, using the model name nvidia_nim/nvidia/llama-3_2-nv-rerankqa-1b-v2.

How do I call Llama 3.2 Nv Rerankqa 1B V2 with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="nvidia_nim/nvidia/llama-3_2-nv-rerankqa-1b-v2", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/rerank from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

When did LiteLLM add Llama 3.2 Nv Rerankqa 1B V2?

Llama 3.2 Nv Rerankqa 1B V2 was added to LiteLLM's model price file in October 2025.

Sources

Prices come from LiteLLM's open-source model_prices_and_context_window.json, which LiteLLM uses to calculate the cost of every request.

LiteLLM docs: NVIDIA NIM.

Provider pages: NVIDIA NIM.