Meta: Llama 3.1 8B Instruct

Public pricingIntelligence 65/100Small memory도구 활용

Meta: Llama 3.1 8B Instruct은 일반 대화, 분석, 운영 환경에 맞춘 텍스트 모델입니다. 낮은 지연과 효율적 추론, 16K tokens의 컨텍스트, 저비용 특성을 결합해 general chat, analysis, and production workloads에서 안정적인 작업을 돕습니다. 특히 지연, 비용, 처리량가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.02/1M

Output

$0.05/1M

Cached

$0.01/1M

Batch

$0.01/1M

Calculate your Llama 3.1 8B Instruct bill.

Set your workload — see cost at your exact volume.

What would Llama 3.1 8B Instruct cost you?

Adjust the workload to see your monthly bill.

Conversations per month50,000

1,00010,00050,000250,0001M10M

Input length

Output length

Repeated questions?

Replies can wait a few hours (batch discount)

Technical specifications

Llama 3.1 8B Instruct at a glance.

Memory

16,384

tokens

Max reply

16,384

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.

chatbot_arena_elo
1175
gpqa_diamond
30.4
humaneval
72.6
ifeval
80.4
math
51.9
mmlu
73
mmlu_pro
48.3
scipredict
14.65

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 8B Instruct

Agentic workflows that call tools or APIs.
High-volume workloads where unit cost matters.

When to look elsewhere

Your workload involves images — pick a vision-capable model instead.
Your inputs routinely exceed short documents.

Alternatives

Similar models to compare.

FAQ

Llama 3.1 8B Instruct — 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 3.1 8B Instruct costs roughly $4 per month. Input is $0.02 /1M tokens and output is $0.05 /1M tokens.

Llama 3.1 8B Instruct has a 16,384-token context window (small memory — a few emails or a short document). That means you can fit about 3,072 words of input and history in a single call.

Beyond text generation, Llama 3.1 8B Instruct supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.

Llama 3.1 8B Instruct was released in July 2024, with training data cut off around December 2023.

Models in a similar class include Llama 3.2 1B Instruct, Llama 3 8B Instruct, Llama 3.2 3B Instruct. The "Similar models" section below this FAQ links into each.

Still unsure?

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