Gemma 2 27B Instruct

Newer version available: Gemma 3 27B

Released
2024-06-27
Last refreshed
2026-10-17
Status
Researched 9d ago
Open weightsCommercial use: restrictedClassificationJSON / Tool use
Google DeepMind releases · 53 in the last 12 monthsChangelog →
Specifications
Family
Gemma 2
Released
2024-06-27
Context
8K
Parameters
27B
Architecture
Decoder Only
Specialization
general
Openness
Open weights
License
GemmaRestricted
Weights
Unknown
Code
Unknown
Training
Fine-tuned
Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website
Pricing
Output / 1M
$0.400
Input / 1M
$0.400

Cheapest of 6 routes · Replicate API

About

Gemma 2 27B Instruct is a cutting-edge large language model from Google, excelling in text generation, question answering, summarization, and reasoning tasks. It features a decoder-only transformer architecture, utilizing 27 billion parameters, and supports context length processing of up to 8,192 tokens. The model incorporates innovative mechanisms like Grouped Query Attention and Sliding Window Attention to enhance efficiency and effectiveness in handling long texts. Its instruction-tuned variants are designed for improved interaction in conversational tasks, and it benefits from knowledge distillation techniques for enhanced performance. Additionally, Gemma 2 27B Instruct is openly accessible, promoting wider innovation in AI applications.

Providers(6)

Compare all 6

Compare API pricing across 6 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MRoute
Replicate API$0.400$0.400
Serverless
Featherless$0.650$0.650
Serverless
NextBit$0.650$0.650
Serverless
OpenRouter$0.650$0.650
Serverless
Arcee AI$0.250$0.750
Serverless
Fireworks AI$0.900$0.900
Serverless

Deprecated provider routes(1)

ProviderStatusCatalog ID
NVIDIA NIM
DeprecatedRetired April 15, 2026
—

Available via routers & gateways(2)

Capabilities

Structured Outputs

Benchmark peer barsfor Classification

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
82.35-shotObserved 2026-03-06—

Migration checks

No linked migration route is available for this model yet.

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