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Llama 3.3 70B Instruct

Meta's flagship 70B instruct model — 405B-class quality at a fraction of the cost. A dependable default for production chat.

meta/llama-3.3-70b-instruct
Retired· verified 8h agoThis model has been retired by its provider and is no longer served.

What is Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct is Meta's chat model. Meta's flagship 70B instruct model — 405B-class quality at a fraction of the cost. A dependable default for production chat. It runs on Speka's OpenAI-compatible /v1/chat/completions endpoint at $0.20 / 1M input and $0.20 / 1M output tokens, using the model ID meta/llama-3.3-70b-instruct.

Test it live

Live playgroundLlama 3.3 70B Instructin-browser demo

Test Llama 3.3 70B Instruct live

Send a message and watch the model respond. Multi-turn — it remembers the conversation.

How to call Llama 3.3 70B Instruct via the API

Speka exposes Llama 3.3 70B Instruct on an OpenAI-compatible /v1/chat/completions endpoint. Point any OpenAI SDK at https://speka.me/v1, set model to meta/llama-3.3-70b-instruct, and your existing code runs unchanged.

quickstart.py
from openai import OpenAI

client = OpenAI(
    base_url="https://speka.me/v1",
    api_key="sk-speka-live-...",  # your Speka key
)

resp = client.chat.completions.create(
    model="meta/llama-3.3-70b-instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)
FAQ

Frequently asked questions

Llama 3.3 70B Instruct is Meta's chat model. Meta's flagship 70B instruct model — 405B-class quality at a fraction of the cost. A dependable default for production chat. It is available on Speka's OpenAI-compatible API using the model ID meta/llama-3.3-70b-instruct.
On Speka, Llama 3.3 70B Instruct is priced at $0.20 / 1M input and $0.20 / 1M output tokens. Pricing is per-token with no subscription or seat fee — usage is billed against your plan's monthly allowance, then at the same rate with no overage penalty. Rates are current as of June 2026; check the pricing page for updates.
Speka exposes Llama 3.3 70B Instruct on an OpenAI-compatible /v1/chat/completions endpoint. Set base_url to https://speka.me/v1, supply your Speka key, and set model to "meta/llama-3.3-70b-instruct" in any OpenAI SDK — no other code changes are required.
Llama 3.3 70B Instruct supports a 128,000-token context window — roughly 96,000 words of input, suitable for long documents, multi-turn agents, and large-context tasks.
Yes. Llama 3.3 70B Instruct is served through Speka's OpenAI-compatible endpoint, so any application built on the OpenAI Python or Node.js SDK, LangChain, or LlamaIndex can call it by changing only the base URL and model ID.

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