Llama 3.2 1B Instruct API Pricing
As of October 10, 2026, Llama 3.2 1B Instruct costs $0.02 per 1M input tokens and $0.02 per 1M output tokens from Novita AI, the lowest of 5 providers. It has a 131,000-token context window and returns up to 32,000 tokens per response.
- Input
- $0.02 / 1M tokens
- Output
- $0.02 / 1M tokens
- Context window
- 131,000 tokens
- Max output
- 32,000 tokens
- Providers
- 5
- Added to LiteLLM
- October 2024
Llama 3.2 1B Instruct pricing by provider
7 listings across 5 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 |
|---|---|---|---|---|
| Novita AI | novita/meta-llama/llama-3.2-1b-instruct | $0.02 | $0.02 | 131K |
| Amazon Bedrock | meta.llama3-2-1b-instruct-v1:0 | $0.10 | $0.10 | 128K |
| Cloudflare Workers AI | cloudflare/@cf/meta/llama-3.2-1b-instruct | $0.027 | $0.201 | 60K |
| IBM watsonx.ai | watsonx/meta-llama/llama-3-2-1b-instruct | $0.10 | $0.10 | 128K |
| Together AI | together_ai/meta-llama/Llama-3.2-1B-Instruct | $0.06 | $0.06 | 128K |
| Amazon BedrockEU cross-region | eu.meta.llama3-2-1b-instruct-v1:0 | $0.13 | $0.13 | 128K |
| Amazon BedrockUS cross-region | us.meta.llama3-2-1b-instruct-v1:0 | $0.10 | $0.10 | 128K |
What Llama 3.2 1B Instruct costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| Novita AI | $0.05 |
| Cloudflare Workers AI | $0.1545 |
| Together AI | $0.15 |
| Amazon Bedrock | $0.25 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| Novita AI | $0.204 |
| Cloudflare Workers AI | $0.3102 |
| Together AI | $0.612 |
| Amazon Bedrock | $1.02 |
Llama 3.2 1B Instruct features
- Function calling
- Parallel tool calls
- Structured output
- Image input
Use Llama 3.2 1B Instruct with LiteLLM
Call Llama 3.2 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.
from litellm import completion
response = completion(
model="novita/meta-llama/llama-3.2-1b-instruct",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: llama-3.2-1b-instruct
litellm_params:
model: novita/meta-llama/llama-3.2-1b-instruct
# credentials: see the provider's LiteLLM docs pagecurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "llama-3.2-1b-instruct",
"messages": [{"role": "user", "content": "Hello!"}]
}'Llama 3.2 1B Instruct FAQ
How much does Llama 3.2 1B Instruct cost?
Llama 3.2 1B Instruct costs $0.02 per 1M input tokens and $0.02 per 1M output tokens from Novita AI, the lowest of 5 providers.
What is the context window of Llama 3.2 1B Instruct?
Llama 3.2 1B Instruct has a 131,000-token context window and returns up to 32,000 tokens per response.
Which providers offer Llama 3.2 1B Instruct?
Llama 3.2 1B Instruct is available from 5 providers through LiteLLM: Novita AI, Amazon Bedrock, Cloudflare Workers AI, IBM watsonx.ai and Together AI. The lowest price is on Novita AI.
How do I call Llama 3.2 1B Instruct with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="novita/meta-llama/llama-3.2-1b-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 3.2 1B Instruct support?
Llama 3.2 1B Instruct supports function calling, parallel tool calls and structured output. It does not support image input.
When did LiteLLM add Llama 3.2 1B Instruct?
Llama 3.2 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: Amazon Bedrock, Cloudflare Workers AI, IBM watsonx.ai, Together AI.
Provider pages: Novita AI, Amazon Bedrock, Cloudflare Workers AI, IBM watsonx.ai, Together AI.
