LiteLLMModels

Llama V3 8B API Pricing

As of October 10, 2026, Llama V3 8B costs $0.20 per 1M input tokens and $0.20 per 1M output tokens on Fireworks AI. It has an 8,192-token context window and returns up to 8,192 tokens per response.

By MetaModel ID fireworks_ai/accounts/fireworks/models/llama-v3-8bPrices updated Checked
Input
$0.20 / 1M tokens
Output
$0.20 / 1M tokens
Context window
8,192 tokens
Max output
8,192 tokens
Providers
1
Added to LiteLLM
December 2025

Llama V3 8B 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-v3-8b$0.20$0.208K

What Llama V3 8B costs in practice

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

Fireworks AI$0.50

Use Llama V3 8B with LiteLLM

Call Llama V3 8B 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-v3-8b",
    messages=[{"role": "user", "content": "Hello!"}],
)
Proxy config.yaml
model_list:
  - model_name: llama-v3-8b
    litellm_params:
      model: fireworks_ai/accounts/fireworks/models/llama-v3-8b
      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-v3-8b",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Llama V3 8B FAQ

How much does Llama V3 8B cost?

Llama V3 8B costs $0.20 per 1M input tokens and $0.20 per 1M output tokens on Fireworks AI.

What is the context window of Llama V3 8B?

Llama V3 8B has an 8,192-token context window and returns up to 8,192 tokens per response.

Which providers offer Llama V3 8B?

Llama V3 8B is available from Fireworks AI through LiteLLM, using the model name fireworks_ai/accounts/fireworks/models/llama-v3-8b.

How do I call Llama V3 8B with an OpenAI-compatible API?

Use the LiteLLM Python SDK with model="fireworks_ai/accounts/fireworks/models/llama-v3-8b", 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.

When did LiteLLM add Llama V3 8B?

Llama V3 8B was added to LiteLLM's model price file in December 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: Fireworks AI.

Provider pages: Fireworks AI.