Llama 3.3 70B Instruct Turbo API Pricing
As of October 10, 2026, Llama 3.3 70B Instruct Turbo costs $0.10 per 1M input tokens and $0.32 per 1M output tokens from DeepInfra, the lowest of 2 providers. It has a 131,072-token context window and returns up to 131,072 tokens per response.
- Input
- $0.10 / 1M tokens
- Output
- $0.32 / 1M tokens
- Context window
- 131,072 tokens
- Max output
- 131,072 tokens
- Providers
- 2
- Added to LiteLLM
- January 2025
Llama 3.3 70B Instruct Turbo pricing by provider
2 listings across 2 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 |
|---|---|---|---|---|
| DeepInfra | deepinfra/meta-llama/Llama-3.3-70B-Instruct-Turbo | $0.10 | $0.32 | 128K |
| Together AI | together_ai/meta-llama/Llama-3.3-70B-Instruct-Turbo | $1.04 | $1.04 | 128K |
What Llama 3.3 70B Instruct Turbo costs in practice
1,000 requests with 2,000 input and 500 output tokens each
| DeepInfra | $0.36 |
| Together AI | $2.60 |
100 long-document requests with 100,000 input and 2,000 output tokens each
| DeepInfra | $1.064 |
| Together AI | $10.61 |
Llama 3.3 70B Instruct Turbo features
- Function calling
- Parallel tool calls
- Structured output
Use Llama 3.3 70B Instruct Turbo with LiteLLM
Call Llama 3.3 70B Instruct Turbo 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="deepinfra/meta-llama/Llama-3.3-70B-Instruct-Turbo",
messages=[{"role": "user", "content": "Hello!"}],
)model_list:
- model_name: llama-3.3-70b-instruct-turbo
litellm_params:
model: deepinfra/meta-llama/Llama-3.3-70B-Instruct-Turbo
api_key: os.environ/DEEPINFRA_API_KEYcurl http://0.0.0.0:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-1234" \
-d '{
"model": "llama-3.3-70b-instruct-turbo",
"messages": [{"role": "user", "content": "Hello!"}]
}'Llama 3.3 70B Instruct Turbo FAQ
How much does Llama 3.3 70B Instruct Turbo cost?
Llama 3.3 70B Instruct Turbo costs $0.10 per 1M input tokens and $0.32 per 1M output tokens from DeepInfra, the lowest of 2 providers.
What is the context window of Llama 3.3 70B Instruct Turbo?
Llama 3.3 70B Instruct Turbo has a 131,072-token context window and returns up to 131,072 tokens per response.
Which providers offer Llama 3.3 70B Instruct Turbo?
Llama 3.3 70B Instruct Turbo is available from 2 providers through LiteLLM: DeepInfra and Together AI. The lowest price is on DeepInfra.
How do I call Llama 3.3 70B Instruct Turbo with an OpenAI-compatible API?
Use the LiteLLM Python SDK with model="deepinfra/meta-llama/Llama-3.3-70B-Instruct-Turbo", 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 3.3 70B Instruct Turbo support?
Llama 3.3 70B Instruct Turbo supports function calling, parallel tool calls and structured output.
When did LiteLLM add Llama 3.3 70B Instruct Turbo?
Llama 3.3 70B Instruct Turbo was added to LiteLLM's model price file in January 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. Provider pricing pages:
LiteLLM docs: DeepInfra, Together AI.
Provider pages: DeepInfra, Together AI.