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Meta: Llama 3.1 70B Instruct: AI model

Llama 3.1 70B Instruct is Meta's 70-billion-parameter model with a 128K-token context window and tool calling. Reachable from inside Iran through Hormouz.

Context window:
131,072 tokens
Input:
$0.4/1M tokens
Output:
$0.4/1M tokens
Type:
text
  • Tools
  • Streaming
  • Long context

Llama 3.1 70B Instruct is an update to Meta's Llama family, carrying 70 billion parameters and instruction tuning for high-quality dialogue. The headline improvement of this generation is a context window expanded to 128K tokens, which suits long documents and multi-turn conversations.

The model supports tool calling and showed performance competitive with leading closed-source models in human evaluations. Llama 3.1 70B is served through Hormouz behind an OpenAI-compatible API.

Pricing is usage-based: $0.80 per million input tokens and $0.80 per million output tokens. Hormouz provides stable access to the model from inside Iran.

Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonstrated strong...

Quickstart

curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/llama-3.1-70b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Specs

VendorMeta
TypeText
Context window131,072 tokens
Pricing$0.40/M in · $0.40/M out
APIChat Completions
CapabilitiesStreaming · Tools

Sizes in this family

SizeContext windowPricing
8B131,072$0.05/M in · $0.08/M out
70B131,072$0.40/M in · $0.40/M out

Benchmarks

Reasoning

GPQA Diamond
Graduate-level scientific reasoning
40.9%
HLE
Humanity's Last Exam
4.5%
IFBench
Instruction-following
34.4%
CritPt
Research-level physics reasoning
0%
AA Omniscience
Broad factual knowledge accuracy
19.7%
Non-Hallucination
Rate of avoiding fabricated answers
21.8%

Coding

Terminal-Bench Hard
Agentic coding & terminal use
3%

Agentic

τ²-Bench
Tool-use agents in dual-control scenarios
15.2%

Source: Artificial Analysis

Code example

cURL
curl https://api.hormouz.net/v1/chat/completions \
  -H "Authorization: Bearer ng-YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/llama-3.1-70b-instruct",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'
Python
from openai import OpenAI
client = OpenAI(api_key="ng-YOUR_API_KEY", base_url="https://api.hormouz.net/v1")
response = client.chat.completions.create(
    model="meta-llama/llama-3.1-70b-instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
JavaScript
import OpenAI from "openai";
const client = new OpenAI({ apiKey: "ng-YOUR_API_KEY", baseURL: "https://api.hormouz.net/v1" });
const response = await client.chat.completions.create({
  model: "meta-llama/llama-3.1-70b-instruct",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(response.choices[0].message.content);

Buy the Meta: Llama 3.1 70B Instruct API, paid in rial

  • Buy credit with an Iranian bank card; no foreign card or account needed.
  • One Hormouz key reaches Meta: Llama 3.1 70B Instruct and 600+ other models, and you pay only for what you use.
  • No VPN and no risk of a banned account; just change the base URL to api.hormouz.net/v1.
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FAQ

How much does Llama 3.1 70B cost?
Billing is usage-based: $0.80 per million input tokens and $0.80 per million output tokens.
What context window and capabilities does Llama 3.1 70B have?
The model supports a 128K-token context window and tool calling, which makes it a good fit for long documents and multi-turn workflows.
How do I reach Llama 3.1 70B from inside Iran?
Create an account on Hormouz and generate an API key. Hormouz provides a stable path to the model from inside Iran, with no foreign credit card or circumvention tooling required.
Is Llama 3.1 70B compatible with OpenAI-style code?
Yes. Hormouz exposes an OpenAI-compatible API. Point your base URL at Hormouz and swap in your Hormouz key. Your existing SDKs and code run without a rewrite.

Updated 2026-10-13