llama-3.3-70b-instruct
Meta/Open weights/3 providers
The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks. Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.MoreLess
Which id to call
nebius/meta-llama/Llama-3.3-70B-InstructThis model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.
From /1M input
$0.13
Nebius AI
Context
131K
tokens
Endpoints
3
2 regions
Price spread
3.0x
3 endpoints
Capabilities 2/8
3 endpoints / 2 regions
Providers serving llama-3.3-70b-instruct
Provider prices, per 1M tokens. Pay as you go adds 5%, or 0% on your own keys.
| Rank | Privacy | ||||||
|---|---|---|---|---|---|---|---|
| 1 |  Nebius AI | EU | 128K | $0.13 | $0.40 | $0.13 | zdr |
| 2 |  DeepInfra Inc. | Global | 131K | $0.23 | $0.40 | $0.23 | zdr |
| 3 |  Novita AI | Global | 131K | $0.39 | $0.39 | $0.39 | zdr |
A column is blank where no qualifying sample exists, and every row links to that provider's endpoint page.
model=
Which id to call
One base url, https://router.requesty.ai/v1, and one key for every id here.
nebius/meta-llama/Llama-3.3-70B-InstructThis model has no managed policy yet, so call the provider endpoint directly. Every id in the endpoints table works the same way.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to any id on the left. Existing OpenAI SDK code needs no other edit.
123456789101112131415from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="nebius/meta-llama/Llama-3.3-70B-Instruct", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
6
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Reference
llama-3.3-70b-instruct questions
Which providers serve llama-3.3-70b-instruct?
llama-3.3-70b-instruct is available from 3 providers through Requesty: Nebius AI, DeepInfra Inc., Novita AI. All endpoints share one OpenAI-compatible API and one key, and Requesty fails over between them automatically.
How much does llama-3.3-70b-instruct cost?
Pricing starts at $0.13 per million input tokens and $0.40 per million output tokens on Nebius AI, the cheapest endpoint. Prices vary by provider and region; the table above shows every endpoint. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
Is llama-3.3-70b-instruct open weights?
Yes. llama-3.3-70b-instruct is an open-weights model from Meta, which is why multiple inference providers can host it. Provider choice affects price, latency, and data-privacy terms, all compared above.
What is the context window of llama-3.3-70b-instruct?
llama-3.3-70b-instruct supports up to 131K tokens of context. Some providers expose a smaller window; check the per-endpoint context column above.
How do I use llama-3.3-70b-instruct with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "nebius/meta-llama/Llama-3.3-70B-Instruct" or any endpoint id from the table above. The quickstart section shows Python, JavaScript and cURL snippets.
Route llama-3.3-70b-instruct through one endpoint
One key for 3 providers on this model and 600+ others. No markup on provider prices, automatic failover, caching built in.