Google: Gemma 2 27B

Public pricingIntelligence 71/100Small memory도구 활용

Google: Gemma 2 27B은 일반 대화, 분석, 운영 환경에 맞춘 텍스트 모델입니다. 안정적인 범용 성능, 8K tokens의 컨텍스트, 균형형 비용 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

$0.65/1M

Output

$0.65/1M

Cached

$0.16/1M

Batch

$0.33/1M

Calculate your Gemma 2 27B bill.

Set your workload — see cost at your exact volume.

What would Gemma 2 27B cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Gemma 2 27B at a glance.

Memory

8,192

tokens

Max reply

2,048

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

sentencepiece

Released

Jun 2024

Training cutoff

Jun 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    75.2
  • humaneval

    51.8
  • math

    42.3
  • bbh

    74.9
  • chatbot_arena_elo

    1220
  • ifeval

    79.78
  • mmlu_pro

    38.35

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 Gemma 2 27B

  • 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

Gemma 2 27B — 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, Gemma 2 27B costs roughly $75 per month. Input is $0.65 /1M tokens and output is $0.65 /1M tokens.
Gemma 2 27B 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, Gemma 2 27B supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Gemma 2 27B was released in June 2024, with training data cut off around June 2024.
Models in a similar class include Gemini 3 Flash Preview, Gemini 2.5 Flash, Gemini 3.1 Flash Lite Preview. The "Similar models" section below this FAQ links into each.

Still unsure?

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