llama-3.3-70b-instructMeta
- endpoints
- 3
- regions
- 2
- api
- chat
- released
- December 2024
capabilities 2/8
The same weights cost 3.0x more on novita ai than on nebius ai. That is what the endpoints table is for.
| # | flags | ||||||
|---|---|---|---|---|---|---|---|
| 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 |
no measured traffic for this model yet. the endpoints table above carries provider pricing
no published benchmark scores for this model
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
Base url is https://router.requesty.ai/v1 for every id here. One key reaches the whole catalog.
from 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)
Change the base url, use your Requesty key, set the model to any id in the call pane. Existing OpenAI SDK code needs no other edit, and the same key reaches every other model in the catalog, so switching later is a one-parameter change. Browse all models
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.
questions 5
Which providers serve llama-3.3-70b-instruct?
How much does llama-3.3-70b-instruct cost?
Is llama-3.3-70b-instruct open weights?
What is the context window of llama-3.3-70b-instruct?
How do I use llama-3.3-70b-instruct with the OpenAI SDK?
more from meta 6
| model | context | from /M | providers |
|---|---|---|---|
| muse-glimmer-30b | 131K | free | 2 |
| llama-4-maverick-17b-128e-instruct | 1.0M | $0.20 | 1 |
| llama-3.3-70b-instruct-turbo | 131K | $0.08 | 1 |
| llama-3.2-90b-vision-instruct | 131K | $0.35 | 1 |
| llama-3.1-8b-instruct | 16K | $0.05 | 1 |
| meta-llama-3.1-405b-instruct | 131K | $0.80 | 1 |
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. Weekly aggregates in the measured pane come from production traffic routed through Requesty, one line per provider on a shared axis. Methodology