Google: Gemma 2 27B

Public pricingIntelligence 71/100Small memory工具调用

Google: Gemma 2 27B 是一款文本模型，适合通用对话、分析与生产场景。它结合了稳定的通用表现、8K tokens上下文和均衡成本定位，可在general chat, analysis, and production workloads中提供可靠表现。它适合重视质量、速度与成本的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

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.

  • bbh

    74.9

  • chatbot_arena_elo

    1220

  • humaneval

    51.8

  • ifeval

    79.78

  • math

    42.3

  • mmlu

    75.2

  • 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.

Alternatives

Similar models to compare.

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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