LiteLLMModels

Llama V3p2 1B Instruct API Pricing

As of October 10, 2026, Llama V3p2 1B Instruct costs $0.10 per 1M input tokens and $0.10 per 1M output tokens on Fireworks AI. It has a 16,384-token context window and returns up to 16,384 tokens per response.

By MetaModel ID fireworks_ai/accounts/fireworks/models/llama-v3p2-1b-instructPrices updated Checked
Input
$0.10 / 1M tokens
Output
$0.10 / 1M tokens
Context window
16,384 tokens
Max output
16,384 tokens
Providers
1
Added to LiteLLM
October 2024

Llama V3p2 1B Instruct pricing by provider

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

ProviderModel name in LiteLLMInputOutputContext
Fireworks AIfireworks_ai/accounts/fireworks/models/llama-v3p2-1b-instruct$0.10$0.1016K

What Llama V3p2 1B Instruct costs in practice

1,000 requests with 2,000 input and 500 output tokens each

Fireworks AI$0.25

Llama V3p2 1B Instruct features

Use Llama V3p2 1B Instruct with LiteLLM

Call Llama V3p2 1B Instruct through the LiteLLM Python SDK, or put it behind the LiteLLM proxy and send OpenAI-format requests to /v1/chat/completions. LiteLLM tracks the cost of every request at these prices.

Python SDK
from litellm import completion

response = completion(
    model="fireworks_ai/accounts/fireworks/models/llama-v3p2-1b-instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: llama-v3p2-1b-instruct
    litellm_params:
      model: fireworks_ai/accounts/fireworks/models/llama-v3p2-1b-instruct
      api_key: os.environ/FIREWORKS_AI_API_KEY
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-v3p2-1b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Llama V3p2 1B Instruct FAQ

How much does Llama V3p2 1B Instruct cost?

Llama V3p2 1B Instruct costs $0.10 per 1M input tokens and $0.10 per 1M output tokens on Fireworks AI.

What is the context window of Llama V3p2 1B Instruct?

Llama V3p2 1B Instruct has a 16,384-token context window and returns up to 16,384 tokens per response.

Which providers offer Llama V3p2 1B Instruct?

Llama V3p2 1B Instruct is available from Fireworks AI through LiteLLM, using the model name fireworks_ai/accounts/fireworks/models/llama-v3p2-1b-instruct.

How do I call Llama V3p2 1B Instruct with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/llama-v3p2-1b-instruct", or add the model to the LiteLLM proxy's config.yaml and send requests to /v1/chat/completions from any OpenAI client. LiteLLM tracks the cost of every request at the prices on this page.

What features does Llama V3p2 1B Instruct support?

Llama V3p2 1B Instruct supports structured output. It does not support function calling.

When did LiteLLM add Llama V3p2 1B Instruct?

Llama V3p2 1B Instruct was added to LiteLLM's model price file in October 2024.

Sources

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

LiteLLM docs: Fireworks AI.

Provider pages: Fireworks AI.