Llama 3.1 8B Instruct API Pricing
As of October 10, 2026, Llama 3.1 8B Instruct is free to use from Google Vertex AI, the lowest of 13 providers. It has a 128,000-token context window and returns up to 2,048 tokens per response.
- Price
- Free
- Context window
- 128,000 tokens
- Max output
- 2,048 tokens
- Providers
- 13
- Added to LiteLLM
- July 2024
Llama 3.1 8B Instruct pricing by provider
14 listings across 13 providers. Token prices are in US dollars per 1M tokens. The highlighted row is the price quoted above.
| Provider | Model name in LiteLLM | Input | Output | Context |
|---|---|---|---|---|
| Google Vertex AI | vertex_ai/meta/llama-3.1-8b-instruct-maas | $0 | $0 | 128K |
| Amazon Bedrock | meta.llama3-1-8b-instruct-v1:0 | $0.22 | $0.22 | 128K |
| DeepInfra | deepinfra/meta-llama/Meta-Llama-3.1-8B-Instruct | $0.03 | $0.05 | 128K |
| Hyperbolic | hyperbolic/meta-llama/Meta-Llama-3.1-8B-Instruct | $0.12 | $0.30 | 32K |
| Lambda | lambda_ai/llama3.1-8b-instruct | $0.025 | $0.04 | 128K |
| Nebius AI Studio | nebius/meta-llama/Meta-Llama-3.1-8B-Instruct | $0.02 | $0.06 | 128K |
| Novita AI | novita/meta-llama/llama-3.1-8b-instruct | $0.02 | $0.05 | 16K |
| Nscale | nscale/meta-llama/Llama-3.1-8B-Instruct | $0.03 | $0.03 | – |
| Oracle Cloud (OCI) | oci/meta.llama-3.1-8b-instruct | $0.72 | $0.72 | 128K |
| OVHcloud | ovhcloud/Llama-3.1-8B-Instruct | $0.10 | $0.10 | 131K |
| Perplexity | perplexity/llama-3.1-8b-instruct | $0.20 | $0.20 | 128K |
| Weights & Biases | wandb/meta-llama/Llama-3.1-8B-Instruct | $0.22 | $0.22 | 131K |
| Amazon BedrockUS cross-region | us.meta.llama3-1-8b-instruct-v1:0 | $0.22 | $0.22 | 128K |
| Cloudflare Workers AIfp8 | cloudflare/@cf/meta/llama-3.1-8b-instruct-fp8 | $0.152 | $0.287 | 32K |
What Llama 3.1 8B Instruct costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Google Vertex AI | $0 |
| Nebius AI Studio | $0.07 |
| Novita AI | $0.065 |
| Lambda | $0.07 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Google Vertex AI | $0 |
| Nebius AI Studio | $0.212 |
| Novita AI | $0.21 |
| Lambda | $0.258 |
Llama 3.1 8B Instruct features
- Function calling
- Parallel tool calls
- Structured output
- Image input
Use Llama 3.1 8B Instruct with LiteLLM
Call Llama 3.1 8B 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.
from litellm import completion
response = completion(
model="vertex_ai/meta/llama-3.1-8b-instruct-maas",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: llama-3.1-8b-instruct
litellm_params:
model: vertex_ai/meta/llama-3.1-8b-instruct-maas
vertex_project: os.environ/VERTEX_PROJECT
vertex_location: os.environ/VERTEX_LOCATIONcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "llama-3.1-8b-instruct",
"messages": [{"role": "user", "content": "Hello!"}]
}'Llama 3.1 8B Instruct FAQ
How much does Llama 3.1 8B Instruct cost?
Llama 3.1 8B Instruct is free to use from Google Vertex AI, the lowest of 13 providers.
What is the context window of Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct has a 128,000-token context window and returns up to 2,048 tokens per response.
Which providers offer Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct is available from 13 providers through LiteLLM: Google Vertex AI, Amazon Bedrock, DeepInfra, Hyperbolic, Lambda, Nebius AI Studio, Novita AI, Nscale, Oracle Cloud (OCI), OVHcloud, Perplexity and Weights & Biases and 1 more. The lowest price is on Google Vertex AI.
How do I call Llama 3.1 8B Instruct with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="vertex_ai/meta/llama-3.1-8b-instruct-maas", 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 3.1 8B Instruct support?
Llama 3.1 8B Instruct supports function calling, parallel tool calls, structured output and image input.
When did LiteLLM add Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct was added to LiteLLM's model price file in July 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:
- console.cloud.google.com/vertex-ai/publishers/meta/model-garden/llama-3.2-90b-vision-instruct-maas
- nebius.com/prices
- docs.nscale.com/docs/inference/serverless-models/current#chat-models
- www.oracle.com/artificial-intelligence/generative-ai/generative-ai-service/pricing
LiteLLM docs: Google Vertex AI, Amazon Bedrock, DeepInfra, Hyperbolic, Lambda, Nebius AI Studio.
Provider pages: Google Vertex AI, Amazon Bedrock, DeepInfra, Hyperbolic, Lambda, Nebius AI Studio, Novita AI, Nscale, Oracle Cloud (OCI), OVHcloud, Perplexity, Weights & Biases.
