Model catalog

Meta Llama 3.3 70B Instruct Turbo

Open weights

Meta Llama 3.3 70B Instruct Turbo is a language model from Meta with a 128K-token context window. Provider list price is $1.04 per million input tokens and $1.04 per million output; on Allocate you pay $1.11 and $1.11 with the 7% transaction fee. The weights are open under Llama community, so you can fine-tune it and own the result.

Pricing

Provider listOn Allocate
Input, per M tokens$1.04$1.11
Output, per M tokens$1.04$1.11

Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.

Price against its peers

Meta Llama 3.3 70B Instruct Turbo$1.04$1.04
Qwen QwQ-32B$1.20$1.20
InputOutput

Provider list prices per M tokens, Meta Llama 3.3 70B Instruct Turbo against its nearest language peers by price.

What a real workload costs

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $1.04 + 350 × $1.04 = $1,612 a month. Billed on Allocate it is $1,725 with the 7% transaction fee.

Meta Llama 3.3 70B Instruct Turbo is an open-weights model under the Llama community license. Read the license terms once before you build on it; fine-tuned weights on Allocate stay inside your boundary.

Example usage

Point a route at meta/llama-3.3-70b-instruct-turbo and the endpoint never changes; swap the model behind it whenever you want.

api.allocate.network
curl https://api.allocate.network/v1/chat/completions \
  -H "Authorization: Bearer $ALLOCATE_KEY" \
  -d '{
    "model": "meta/llama-3.3-70b-instruct-turbo",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'
200 · meta/llama-3.3-70b-instruct-turbo · inside your boundary

Common questions

How much does Meta Llama 3.3 70B Instruct Turbo cost per million tokens?

Provider list price is $1.04 per million input tokens and $1.04 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $1.11 in and $1.11 out.

What context window does Meta Llama 3.3 70B Instruct Turbo have?

131,072 tokens (128K). At roughly 0.75 words per token, that is about 98k words of English text per request.

Can I fine-tune Meta Llama 3.3 70B Instruct Turbo?

Yes. Meta Llama 3.3 70B Instruct Turbo is an open-weights model under the Llama community license. Read the license terms before fine-tuning for commercial use. On Allocate the trained weights stay inside your boundary and belong to you.

How do I call Meta Llama 3.3 70B Instruct Turbo on Allocate?

Send meta/llama-3.3-70b-instruct-turbo in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.

Compare against