Llama 3.1 70B Instruct
Meta Llama 3.1 70B Instruct — pricing, 131k context window, API cost calculator and alternatives.
By Meta
Specs
- Provider
- Meta
- Slug
- meta-llama/llama-3-1-70b-instruct
- Capabilities
- tools, json_mode
Pricing freshness
- Tier
- standard
- Currency
- USD
- As of
- 2026-05-08 17:08 UTC
Pricing history
Tracking Llama 3.1 70B Instruct pricing since 2026-05-08. We'll plot the chart here once it changes.
Quickstart — call Llama 3.1 70B Instruct from your app
curl https://openrouter.ai/api/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-d '{
"model": "meta-llama/llama-3-1-70b-instruct",
"messages": [{"role": "user", "content": "Hello!"}]
}'Official docs: https://openrouter.ai/docs
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key=os.environ["OPENROUTER_API_KEY"],
)
resp = client.chat.completions.create(
model="meta-llama/llama-3-1-70b-instruct",
messages=[{"role": "user", "content": "Hello!"}],
)
print(resp.choices[0].message.content)Official docs: https://openrouter.ai/docs
// npm install openai
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const resp = await client.chat.completions.create({
model: "meta-llama/llama-3-1-70b-instruct",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(resp.choices[0].message.content);Official docs: https://openrouter.ai/docs
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Frequently asked questions
What is Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct is a large language model API from Meta with a 131k-token context window. It costs $0.4 per 1M input tokens and $0.4 per 1M output tokens.
How much does Llama 3.1 70B Instruct cost?
Llama 3.1 70B Instruct is priced at $0.4 per 1M input tokens and $0.4 per 1M output tokens via the Meta API. A 50/50 input/output workload of 1M total tokens costs about $0.4.
What is the context window of Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct supports up to 131k tokens of context per request — roughly 262 pages of English text or 16384 lines of code at a typical density.
Does Llama 3.1 70B Instruct support vision, tool use, or JSON mode?
Llama 3.1 70B Instruct supports tool/function calling and structured JSON mode. It does not support image input (vision).
Who makes Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct is built and operated by Meta. Pricing, context window, and capabilities on this page are refreshed nightly from Meta's public catalog.
Can I self-host Llama 3.1 70B Instruct?
Llama 3.1 70B Instruct is API-only — its weights are not publicly distributed by Meta, so it cannot be self-hosted today.