Llama 3.1 70B

Llama 3.1 70B is Meta’s open-weight mid-size model, hosted by Aniron for teams that want strong instruction-following at a fraction of frontier-model pricing. It’s a common default for high-volume workloads where per-token cost dominates the decision.

Model specifications

Aniron routes to Llama 3.1 70B using the model string meta-llama/llama-3.1-70b. Requests use the same OpenAI-compatible format as every other model on the platform — only the model string changes.

What it’s good for

High-volume classification, extraction, and summarization pipelines where cost per request matters more than marginal reasoning quality. Internal tools and batch jobs that don’t need vision input. A cost-efficient fallback model behind a frontier model like GPT-4o or Claude Sonnet 4 for non-critical requests.

Example usage

import OpenAI from 'openai';

const client = new OpenAI({
  baseURL: 'https://api.aniron.ai/v1',
  apiKey: process.env.ANIRON_KEY,
});

const response = await client.chat.completions.create({
  model: 'meta-llama/llama-3.1-70b',
  messages: [{ role: 'user', content: 'Extract the invoice number and total from this text.' }],
  max_tokens: 500,
});

Compare with

vs GPT-4o: GPT-4o costs roughly 6-7x more per token but handles multimodal input and edge-case reasoning more reliably. Pick Llama 3.1 70B for high-volume, well-defined tasks; pick GPT-4o when output quality on ambiguous inputs matters more than cost.

vs Claude Sonnet 4: Sonnet 4 costs roughly 8-9x more per token and supports a longer context window plus stronger multi-step reasoning. Pick Llama 3.1 70B when you’re optimizing for cost at scale; pick Sonnet 4 for complex, high-stakes reasoning tasks.

FAQ

How much does Llama 3.1 70B cost through Aniron?

$0.35 per million input tokens and $0.40 per million output tokens, billed from the same prepaid balance used across all 40+ models on Aniron.

Does streaming work?

Yes. Set stream: true in the request; responses stream as server-sent events in the same format as every other model on Aniron.

Can I use tool calling?

Yes. Pass a tools array in the request using the standard OpenAI function-calling schema.

What’s the rate limit?

Default is 60 requests per minute per API key. Contact support to raise it for production workloads.

Related resources

Model Fallbacks — Route to Llama 3.1 70B automatically when a primary model rate-limits or errors.

Getting Started Guide — Set up your first request to Aniron in 5 minutes.

Prepaid vs Metered Billing — Why prepaid credits make multi-model cost control simpler.