Sao10K: Llama 3.1 Euryale 70B v2.2

Public pricingIntelligence 79/100Medium memory

Sao10K: Llama 3.1 Euryale 70B v2.2은 일반 λŒ€ν™”, 뢄석, 운영 ν™˜κ²½μ— 맞좘 ν…μŠ€νŠΈ λͺ¨λΈμž…λ‹ˆλ‹€. μ•ˆμ •μ μΈ λ²”μš© μ„±λŠ₯, 131K tokens의 μ»¨ν…μŠ€νŠΈ, κ· ν˜•ν˜• λΉ„μš© νŠΉμ„±μ„ κ²°ν•©ν•΄ general chat, analysis, and production workloadsμ—μ„œ μ•ˆμ •μ μΈ μž‘μ—…μ„ λ•μŠ΅λ‹ˆλ‹€. 특히 ν’ˆμ§ˆ, 속도, λΉ„μš©κ°€ μ€‘μš”ν•œ κ²½μš°μ— 잘 맞으며, μ•ˆμ •μ μΈ 좜λ ₯, μœ μ—°ν•œ 배포, ν™•μž₯성을 μ€‘μ‹œν•˜λŠ” νŒ€μ— μ‹€μš©μ μž…λ‹ˆλ‹€. μ•ˆμ •μ μΈ 응닡, 넓은 λ¬Έλ§₯ 처리, 그리고 μ‹œμ œν’ˆλΆ€ν„° μš΄μ˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” μœ μ—°μ„±μ΄ ν•„μš”ν•  λ•Œ μœ μš©ν•©λ‹ˆλ‹€. μ•ˆμ •μ μΈ 응닡, 넓은 λ¬Έλ§₯ 처리, 그리고 μ‹œμ œν’ˆλΆ€ν„° μš΄μ˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” μœ μ—°μ„±μ΄ ν•„μš”ν•  λ•Œ μœ μš©ν•©λ‹ˆλ‹€.

Input

$0.85/1M

Output

$0.85/1M

Cached

$0.07/1M

Batch

$0.33/1M

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Technical specifications

Llama 3.1 Euryale 70B v2.2 at a glance.

Memory

131,072

tokens

Max reply

16,384

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

llama3

Released

Aug 2024

Training cutoff

Dec 2023

Availability

Public pricing

Status

active

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 3.1 Euryale 70B v2.2

  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images β€” pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

Llama 3.1 Euryale 70B v2.2 β€” the questions we see most.

Pricing, capabilities, alternatives β€” 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 3.1 Euryale 70B v2.2 costs roughly $98 per month. Input is $0.85 /1M tokens and output is $0.85 /1M tokens.
Llama 3.1 Euryale 70B v2.2 has a 131,072-token context window (medium memory β€” a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Llama 3.1 Euryale 70B v2.2 was released in August 2024, with training data cut off around December 2023.
Models in a similar class include Llama 3.3 Euryale 70B, Llama 3 Euryale 70B v2.1, Llama 3 8B Lunaris. The "Similar models" section below this FAQ links into each.

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