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Gemma 2 27B

Current

Gemma 2 27B is Google’s open-weights Gemma family checkpoint balancing quality and deployability for research and product teams that need permissive terms without Vertex-only APIs.

Best for:Instruction-tuned assistants after light fine-tuningCost tier:Open / entry
Compared to:Replaces:

Open weights LLM · Release · Gemma Terms of Use

open-weightsgoogleresearch

Updated 1 day ago · Verified Apr 2026 · Score 78

Decision summary

Why teams reach for it, where it fits, and what to watch for — before you dive into specs.

Why teams choose it

  • Good for academic and startup fine-tunes with Google tooling familiarity.
  • Compare against Qwen/Mistral tiers on your eval harness.

Best use cases

  • Use this when instruction-tuned assistants after light fine-tuning
  • Use this when research ablations

Tradeoffs

  • Not the same as Gemini API products—manage expectations.
  • License restricts certain high-risk uses—legal review required.

Technical details

Modalities, benchmarks, and release context.

Modalities

What goes in and what comes out.

Inputs
text
Outputs
text
Capabilities
reasoning, fine-tuning, safety-tuned variants
Release: ·License: Gemma Terms of Use

Benchmarks snapshot

Structured JSON for reproducible comparisons.

No benchmark data yet — see comparisons for relative performance.

Continue exploring

A short set of comparisons, nearby models, and links to go deeper — without repeating the same paths.

This page is based on publicly available documentation, benchmarks, and real-world usage patterns. Last reviewed for accuracy recently.