Last refreshed 2026-06-15. Next refresh: weekly.
Why use Llama 3.1 8B Instruct on DeepInfra?
DeepInfra offers Llama 3.1 8B Instruct with pay-as-you-go pricing at $0.02/1M input tokens. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.
Compare Llama 3.1 8B Instruct across 16 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"],meta-llama/Meta-Llama-3.1-8B-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="meta-llama/Meta-Llama-3.1-8B-Instruct",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "meta-llama/Meta-Llama-3.1-8B-Instruct", not the LLMReference slug "llama3.1-8b-instruct".
- 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 8B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Cloudflare Workers AI | — | — |
| OctoAI API (Deprecated) | $0.15 | $0.15 |
| Together AI | $0.18 | $0.18 |
| Fireworks AI | $0.20 | $0.20 |
| NVIDIA NIM | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.02 |
| Output tokens | $0.05 |
Capabilities
About Llama 3.1 8B Instruct
The Llama 3.1 8B Instruct model, released on July 23, 2024, is a multilingual large language model with 8 billion parameters, optimized for instruction-following tasks. It features an enhanced transformer architecture, supporting languages like English, German, French, and others. The model excels in dialogue applications, having been fine-tuned using supervised fine-tuning and reinforcement learning with human feedback. Trained on approximately 15 trillion tokens with a December 2023 data cutoff, it outperforms many existing open-source and closed chat models in various benchmarks. Ideal for commercial and research applications such as conversational agents and content generation, the model can be accessed on Hugging Face .
FAQ
What does Llama 3.1 8B Instruct cost on DeepInfra?
On DeepInfra, Llama 3.1 8B Instruct costs $0.02 per 1M input tokens and $0.05 per 1M output tokens.
What is the context window for Llama 3.1 8B Instruct on DeepInfra?
Llama 3.1 8B Instruct supports a 128k token context window on DeepInfra.
How does DeepInfra compare to other Llama 3.1 8B Instruct providers?
Llama 3.1 8B Instruct is available from 16 providers. The cheapest input pricing is $0.02/1M tokens from OpenRouter.
What API model ID do I use for Llama 3.1 8B Instruct on DeepInfra?
Use the model ID meta-llama/Meta-Llama-3.1-8B-Instruct when calling DeepInfra's API.
Who created Llama 3.1 8B Instruct?
Llama 3.1 8B Instruct was created by AI at Meta as part of the Llama 3.1 model family.
Is Llama 3.1 8B Instruct open source?
Llama 3.1 8B Instruct has open weights under Llama 3 Community according to the seed data, but that does not necessarily mean an OSI-approved open-source license.