Model catalog

Meta Llama 3 8B Instruct Reference

Open weights

Meta Llama 3 8B Instruct Reference is a language model from Meta with a 8K-token context window. Provider list price is $0.20 per million input tokens and $0.20 per million output; on Allocate you pay $0.21 and $0.21 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$0.20$0.21
Output, per M tokens$0.20$0.21

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 8B Instruct Reference$0.20$0.20
InputOutput

Provider list prices per M tokens, Meta Llama 3 8B Instruct Reference 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 × $0.20 + 350 × $0.20 = $310 a month. Billed on Allocate it is $331.70 with the 7% transaction fee.

Meta Llama 3 8B Instruct Reference 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-3-8b-chat-hf 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-3-8b-chat-hf",
    "messages": [{"role": "user",
      "content": "Summarise the attached contract."}]
  }'
200 · meta/llama-3-8b-chat-hf · inside your boundary

Common questions

How much does Meta Llama 3 8B Instruct Reference cost per million tokens?

Provider list price is $0.20 per million input tokens and $0.20 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.21 in and $0.21 out.

What context window does Meta Llama 3 8B Instruct Reference have?

8,192 tokens (8K). At roughly 0.75 words per token, that is about 6k words of English text per request.

Can I fine-tune Meta Llama 3 8B Instruct Reference?

Yes. Meta Llama 3 8B Instruct Reference 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 8B Instruct Reference on Allocate?

Send meta/llama-3-8b-chat-hf 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.

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