Inteligencia de modelos de IA

Gemma 3 27B

google/gemma-3-27b-it

Por Google · familia: gemma · lanzado 2025-03-10 · fecha de conocimiento: 2024-12

$0.027
Entrada / 1M tokens
$0.109
Salida / 1M tokens
131K
Ventana de contexto
8K
Salida máxima

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capacidades

Llamada a herramientasRazonamientoSalida estructuradaAdjuntosPesos abiertosControl de temperatura
Modalidades: entrada text, image · salida text

Model fit scores

0–100 · higher is better

These scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.

Coding72
  • Tool calling40/40
  • Structured output20/20
  • Reasoning0/10
  • Context window (100K → 1M)2/20
  • Provider availability10/10
Agents75
  • Tool calling35/35
  • Structured output25/25
  • Reasoning0/15
  • Output token limit5/15
  • Provider availability10/10
JSON / structured output100
  • Structured output / JSON mode50/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume20/20
Cost efficiency88
  • Headline price (log-scaled)83/95
  • Has prompt-cache pricing5/5
Long context46
  • Context window (100K → 2M)36/90
  • Has published price for full window10/10
Vision87
  • Accepts image input50/50
  • Context window (10K → 1M)17/30
  • Has published price10/10
  • Provider availability10/10
Production-readiness94
  • Number of independent providers40/40
  • Has published per-token price20/20
  • Context window ≥ 8K15/15
  • No data inconsistencies across providers4/10
  • Official model (not derivative)15/15

Cost Efficiency Index

Open full calculator →

Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$0.19
< $0.01 per request
5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot.
Support ticket triage
per 10,000 tickets
$0.38
< $0.01 per request
1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support.
Data extraction
per 1,000 documents
$0.11
< $0.01 per request
2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines.
Code review
per 1,000 PRs
$0.33
< $0.01 per request
8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads.
Agent step
per 1,000 steps
$0.39
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Detalle de precios

Precio recomendado de chutes · unsloth/gemma-3-27b-it

$0.027
Entrada
$0.109
Salida
$0.014
Lectura de caché

Proveedor más barato: google · Unknown entrada + Unknown salida

Disponible en 14 proveedores

ProveedorID de modelo del proveedorEntrada / 1MSalida / 1MContextoLanzado
Google
google
gemma-3-27b-itUnknownUnknown131K2025-03-12
Amazon Bedrock
amazon-bedrock
google.gemma-3-27b-it$0.120$0.200203K2025-07-27
OpenRouter
openrouter
google/gemma-3-27b-it$0.040$0.15096K2025-03-12
Scaleway
scaleway
gemma-3-27b-it$0.250$0.50040K2024-12-01
NanoGPT
nano-gpt
Gemma-3-27B-it$0.306$0.30633K2025-03-10
NanoGPT
nano-gpt
TEE/gemma-3-27b-it$0.200$0.800131K2025-03-10
NanoGPT
nano-gpt
unsloth/gemma-3-27b-it$0.299$0.299128K2025-03-10
NovitaAI
novita-ai
google/gemma-3-27b-it$0.119$0.20098K2025-03-25
Chutes
chutes
unsloth/gemma-3-27b-it$0.027$0.109128K2025-12-29
Kilo Gateway
kilo
google/gemma-3-27b-it$0.030$0.110128K2025-03-12
Nebius Token Factory
nebius
google/gemma-3-27b-it$0.100$0.300110K2026-01-20
Venice AI
venice
google-gemma-3-27b-it$0.120$0.200198K2025-11-04
Nvidia
nvidia
google/gemma-3-27b-itUnknownUnknown131K2024-12-01
STACKIT
stackit
google/gemma-3-27b-it$0.490$0.71037K2025-05-17

Inconsistencias de datos entre proveedores

  • context_window varies: 110000, 128000, 131072, 198000, 202752, 32768, 37000, 40000, 96000, 98304
  • release_date varies (span 415d): 2024-12-01, 2025-03-10, 2025-03-12, 2025-03-25, 2025-05-17, 2025-07-27, 2025-11-04, 2025-12-29, 2026-01-20
  • modalities varies across offerings

Los proveedores reportan valores distintos para este modelo. Los datos clave de arriba usan un proveedor representativo; consulta la tabla para detalles por proveedor.

Frequently asked questions

How much does Gemma 3 27B cost?

Gemma 3 27B costs $0.027 per 1M input tokens and $0.109 per 1M output tokens, sourced from chutes. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Gemma 3 27B?

Gemma 3 27B has a context window of 131K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.

Does Gemma 3 27B support tool calling?

Yes. Gemma 3 27B supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Does Gemma 3 27B support structured output / JSON mode?

Yes. Gemma 3 27B supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.

Can Gemma 3 27B accept image input?

Yes. Gemma 3 27B accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check Google's docs for the exact rule.

Is Gemma 3 27B open-weight?

Yes. Gemma 3 27B's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.

What are the best alternatives to Gemma 3 27B?

If Gemma 3 27B doesn't fit, consider Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 3 Flash Preview. Each one targets the same use case — see the Related links below for direct head-to-head pages.

Where does this data come from?

All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.

Última actualización:

Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.