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Llama 3.3 70B Turbo
deepinfra/
Deepinfra model · Served by DeepInfra · live on the gateway
Input / 1M
$0.100
Output / 1M
$0.320
Context
131K tokens
Max output
16K tokens
Input
Text
Released
1y ago
Pricing
Input tokens$0.100 per 1M
Output tokens$0.320 per 1M
Provider list priceExactly what your balance is debited; our fee is charged when you buy credits
About Llama 3.3 70B Turbo
Compact Llama instruction model for fast chat and local deployment
Tools
What it supports
- Tool calling (function calling)
- JSON mode and structured output
- Image input (vision)
- Audio input
- Extended reasoning
- Streaming responses
- OpenAI SDK, Anthropic SDK and any OpenAI-compatible client
Make a request
curl https://rapidrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $RAPIDROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepinfra/meta-llama/llama-3.3-70b-instruct-turbo",
"messages": [{ "role": "user", "content": "Hello" }]
}'Frequently asked
How do I call Llama 3.3 70B Turbo through an OpenAI-compatible API?
Point any OpenAI-compatible client at https://rapidrouter.ai/api/v1 with a Rapid Router API key and set the model to deepinfra/meta-llama/llama-3.3-70b-instruct-turbo. The chat completions endpoint is https://rapidrouter.ai/api/v1/chat/completions.
What is the context window of Llama 3.3 70B Turbo?
Llama 3.3 70B Turbo has a context window of 131,072 tokens on Rapid Router, and returns up to 16,384 output tokens per reply.
What can Llama 3.3 70B Turbo do?
On Rapid Router, Llama 3.3 70B Turbo supports tool calling, JSON mode.