Last refreshed 2026-04-24. Next refresh: weekly.
Why use Llama 3.1 70B Instruct on DeepInfra?
DeepInfra offers Llama 3.1 70B Instruct with pay-as-you-go pricing at $0.40/1M input tokens. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.
Compare Llama 3.1 70B Instruct across 11 providers to find the best fit for your use caseSetup recipe
Python + curlpip install openaiexport DEEPINFRA_API_KEY=...import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],llama3.1-70b-instructRequest example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],
base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
model="llama3.1-70b-instruct",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- DeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.
- The examples expect DEEPINFRA_API_KEY; rename it only if your application config maps the new variable.
Compare Llama 3.1 70B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OctoAI API (Deprecated) | $0.90 | $0.90 |
| Together AI | $0.88 | $0.88 |
| Fireworks AI | $0.90 | $0.90 |
| NVIDIA NIM | — | — |
| Microsoft Foundry | $2.68 | $3.54 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.40 |
| Output tokens | $0.40 |
Capabilities
About Llama 3.1 70B Instruct
The Llama 3.1 70B Instruct model is a cutting-edge large language model with 70 billion parameters, designed for instruction-following tasks. It features multilingual capabilities, supporting languages like English, German, French, and others. Fine-tuned using supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF), it excels in understanding and responding to user instructions. The model can handle a context length of up to 128k tokens, making it suitable for complex dialogue systems and applications requiring detailed responses. It outperforms many existing open-source and proprietary models on various industry benchmarks, making it ideal for conversational AI, content generation, and data synthesis tasks. For more details, visit the Hugging Face page [1].
FAQ
What does Llama 3.1 70B Instruct cost on DeepInfra?
On DeepInfra, Llama 3.1 70B Instruct costs $0.40 per 1M input tokens and $0.40 per 1M output tokens.
What is the context window for Llama 3.1 70B Instruct on DeepInfra?
Llama 3.1 70B Instruct supports a 128,000 token context window on DeepInfra.
How does DeepInfra compare to other Llama 3.1 70B Instruct providers?
Llama 3.1 70B Instruct is available from 11 providers. The cheapest input pricing is $0.40/1M tokens from Hyperbolic AI Inference.
Who created Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct was created by AI at Meta as part of the Llama 3.1 model family.
Is Llama 3.1 70B Instruct open source?
Llama 3.1 70B Instruct is open source according to the seed data.