Nous Research: Hermes 2 Pro - Llama-3 8B

Public pricingIntelligence 64/100Small memory도구 활용

NousResearch: Hermes 2 Pro - Llama-3 8B은 일반 대화, 분석, 운영 환경에 맞춘 텍스트 모델입니다. 안정적인 범용 성능, 8K tokens의 컨텍스트, 저비용 특성을 결합해 general chat, analysis, and production workloads에서 안정적인 작업을 돕습니다. 특히 품질, 속도, 비용가 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

$0.14/1M

Output

$0.14/1M

Cached

$0.00/1M

Batch

$0.01/1M

Calculate your Hermes 2 Pro - Llama-3 8B bill.

Set your workload — see cost at your exact volume.

What would Hermes 2 Pro - Llama-3 8B cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Hermes 2 Pro - Llama-3 8B at a glance.

Memory

8,192

tokens

Max reply

8,192

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

llama3

Released

May 2024

Training cutoff

Dec 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • ifeval

    53.62
  • bbh

    30.67
  • mmlu_pro

    22.8

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 Hermes 2 Pro - Llama-3 8B

  • 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.

FAQ

Hermes 2 Pro - Llama-3 8B — 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, Hermes 2 Pro - Llama-3 8B costs roughly $16 per month. Input is $0.14 /1M tokens and output is $0.14 /1M tokens.
Hermes 2 Pro - Llama-3 8B 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.
Beyond text generation, Hermes 2 Pro - Llama-3 8B supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Hermes 2 Pro - Llama-3 8B was released in May 2024, with training data cut off around December 2023.
Models in a similar class include Hermes 4 70B, Hermes 3 405B Instruct, Hermes 3 70B Instruct. The "Similar models" section below this FAQ links into each.

Still unsure?

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