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Llama 2 7B Chat on DeepInfra

Llama 2 · AI at Meta

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Last refreshed 2026-04-24. Next refresh: weekly.

Why use Llama 2 7B Chat on DeepInfra?

DeepInfra offers Llama 2 7B Chat with pay-as-you-go pricing at $0.07/1M input tokens. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.

Compare Llama 2 7B Chat across 10 providers to find the best fit for your use case
Input / 1M
$0.070
Output / 1M
$0.070
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export DEEPINFRA_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["DEEPINFRA_API_KEY"],
Model ID
llama2-7b-chat

Request 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="llama2-7b-chat",
    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 2 7B Chat Across Providers

ProviderInput (per 1M)Output (per 1M)
Alibaba Cloud PAI-EAS
Baseten API
Fireworks AI$0.20$0.20
Microsoft Foundry$0.52$0.67
GCP Vertex AI$0.08$0.24
View all 10 providers →

Pricing

TypePrice (per 1M)
Input tokens$0.07
Output tokens$0.07

Capabilities

Structured Outputs

About Llama 2 7B Chat

The Llama 2 7B Chat model is a fine-tuned variant of Meta's Llama 2 series, optimized for conversational AI applications. Built on an auto-regressive transformer architecture, it boasts 7 billion parameters and has been trained on a diverse dataset of 2 trillion tokens. The model underwent supervised fine-tuning and reinforcement learning with human feedback to enhance its performance in dialogue scenarios. It demonstrates competitive capabilities in terms of helpfulness and safety compared to both open-source and closed-source alternatives like ChatGPT and PaLM. Designed for commercial and research use, particularly in English language tasks, it's well-suited for developing chatbots, virtual assistants, and other interactive AI systems. More details can be found on its Hugging Face page .

FAQ

What does Llama 2 7B Chat cost on DeepInfra?

On DeepInfra, Llama 2 7B Chat costs $0.07 per 1M input tokens and $0.07 per 1M output tokens.

What is the context window for Llama 2 7B Chat on DeepInfra?

Llama 2 7B Chat supports a 4,000 token context window on DeepInfra.

How does DeepInfra compare to other Llama 2 7B Chat providers?

Llama 2 7B Chat is available from 10 providers. The cheapest input pricing is $0.05/1M tokens from Replicate API.

Who created Llama 2 7B Chat?

Llama 2 7B Chat was created by AI at Meta as part of the Llama 2 model family.

Is Llama 2 7B Chat open source?

Llama 2 7B Chat is open source according to the seed data.

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