Sao10K: Llama 3 8B Lunaris

Public pricingIntelligence 66/100Small memory

Sao10K: Llama 3 8B Lunaris est un modèle texte conçu pour conversation générale, analyse et usage en production. Il associe des performances générales stables, un contexte de 8K tokens et un profil à faible coût pour un travail fiable sur general chat, analysis, and production workloads.

Input

$0.04/1M

Output

$0.05/1M

Cached

$0.00/1M

Batch

$0.02/1M

Calculate your Llama 3 8B Lunaris bill.

Set your workload — see cost at your exact volume.

What would Llama 3 8B Lunaris cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Llama 3 8B Lunaris at a glance.

Memory

8,192

tokens

Max reply

4,096

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

llama3

Released

Jul 2024

Training cutoff

Dec 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • bbh

    32.11

  • ifeval

    68.95

  • mmlu_pro

    30.97

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Llama 3 8B Lunaris

  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.
  • Your inputs routinely exceed short documents.

Alternatives

Similar models to compare.

FAQ

Llama 3 8B Lunaris — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Llama 3 8B Lunaris costs roughly $5 per month. Input is $0.04 /1M tokens and output is $0.05 /1M tokens.
Llama 3 8B Lunaris has a 8,192-token context window (small memory — a few emails or a short document). That means you can fit about 1,536 words of input and history in a single call.
Llama 3 8B Lunaris was released in July 2024, with training data cut off around December 2023.
Models in a similar class include Llama 3.3 Euryale 70B, Llama 3.1 Euryale 70B v2.2, Llama 3 Euryale 70B v2.1. The "Similar models" section below this FAQ links into each.

Still unsure?

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