Llama 3.1 70B — Meta | Modeldex

Llama 3.1 70B

Active

Updated 70B open-weights model with 128k context and improved tool calling.

Updated 3 days agoStructured data from Modeldex catalog

AgenticOpen source

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

Llama 3.1 70B improves on Llama 3 70B with native 128k context and significantly better function calling. A practical default for self-hosted agentic applications.

History

Llama 3.1 70B was released on 2024-07-23.

Training & availability

Weights are publicly available under the Llama 3.1 Community License license, making this an open-weight model suitable for on-prem deployment and fine-tuning.

Capabilities

Context window: 128K tokens.
Max output: 8K tokens.
Input modalities: text.

Recommended for: agentic, open-source.

Limitations

Text-only — cannot process images, audio, or video inputs.

Quick start

Minimal example using the OpenRouter API. Copy, paste, replace the key.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="sk-or-...",
)
resp = client.chat.completions.create(
    model="meta/llama-3-1-70b",
    messages=[{"role": "user", "content": "Explain quantum computing in one sentence."}],
)
print(resp.choices[0].message.content)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.4/1M

Output tokens / month2.0M

@ $0.4/1M

Input cost

5.0M × $0.4/1M

Output cost

$0.8

2.0M × $0.4/1M

Total / month

$2.8

$33.6 / year

Integrations & tooling support

Tool calling: Supported
Structured outputs: Not supported

Price vs quality

Budget pricing

Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.