Sao10K: Llama 3.3 Euryale 70B

Public pricingIntelligence 79/100Medium memory

Sao10K: Llama 3.3 Euryale 70B est un modèle texte conçu pour conversation générale, analyse et usage en production. Il associe des performances générales stables, un contexte de 131K tokens et un profil à coût équilibré pour un travail fiable sur general chat, analysis, and production workloads.

Input

$0.65/1M

Output

$0.75/1M

Cached

$0.07/1M

Batch

$0.33/1M

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Technical specifications

Llama 3.3 Euryale 70B 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

Dec 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 3.3 Euryale 70B

  • 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.

Alternatives

Similar models to compare.

FAQ

Llama 3.3 Euryale 70B — 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 3.3 Euryale 70B costs roughly $79 per month. Input is $0.65 /1M tokens and output is $0.75 /1M tokens.
Llama 3.3 Euryale 70B has a 131,072-token context window (medium memory — 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 3.3 Euryale 70B was released in December 2024, with training data cut off around December 2023.
Models in a similar class include Llama 3.1 Euryale 70B v2.2, Llama 3 8B Lunaris, Llama 3 Euryale 70B v2.1. The "Similar models" section below this FAQ links into each.

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