Google: Gemma 3 27B

Public pricingIntelligence 69/100Medium memory视觉工具调用

Google: Gemma 3 27B 是一款多模态模型，适合多模态推理与分析。它结合了多模态输入处理、深度推理与规划、131K tokens上下文和低成本定位，可在多模态推理与分析中提供可靠表现。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。 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

$0.08/1M

Output

$0.16/1M

Cached

$0.02/1M

Batch

$0.04/1M

Calculate your Gemma 3 27B bill.

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What would Gemma 3 27B cost you?

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Technical specifications

Gemma 3 27B at a glance.

Memory

131,072

tokens

Max reply

16,384

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

sentencepiece

Released

Mar 2025

Training cutoff

Aug 2024

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    10

  • chatbot_arena_elo

    1338

  • gpqa_diamond

    42.4

  • humaneval

    87.8

  • livecodebench

    29.7

  • math

    89

  • mmlu_pro

    67.5

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 3 27B

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Gemma 3 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 3 27B costs roughly $12 per month. Input is $0.08 /1M tokens and output is $0.16 /1M tokens.
Gemma 3 27B 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.
Beyond text generation, Gemma 3 27B supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Gemma 3 27B was released in March 2025, with training data cut off around August 2024.
Models in a similar class include Gemma 4 26B A4B, Gemini 2.0 Flash Lite, Gemini 2.0 Flash. The "Similar models" section below this FAQ links into each.

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