Sao10K: Llama 3 8B Lunaris

Public pricingIntelligence 66/100Small memory

Sao10K: Llama 3 8B Lunaris एक टेक्स्ट मॉडल है, जिसे सामान्य चैट, विश्लेषण और production use के लिए बनाया गया है। यह स्थिर general-purpose प्रदर्शन, 8K tokens का context और कम लागत profile जोड़कर general chat, analysis, and production workloads में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

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?

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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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