That's NeuralModel catalog

google

Google: Gemma 2 27B

google/gemma-2-27b-it

Our take

AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.

OpenRouter’s catalog lists google/gemma-2-27b-it as a Google text-to-text model with an 8,192-token context window and a knowledge cutoff of June 30, 2024. The catalog describes Gemma 2 27B as an open model based on research and technology associated with Gemini and suitable for varied text tasks. These are source-reported capabilities, not measured results. The listing exposes common generation controls plus response-formatting and structured-output parameters. No independent model card or benchmark evidence was included in this source pack, so practical quality and fit require workload-specific validation.[1]

Strengths

  • OpenRouter reports an 8,192-token context window and a text-to-text interface.[1]
  • The catalog exposes response_format and structured_outputs alongside controls such as temperature, top_p, penalties, seed, stop, and max_tokens.[1]
  • The catalog describes it as an open model related to Gemini research and technology and suited to varied text tasks; this remains a source-reported claim.[1]

Limitations

  • Only OpenRouter catalog evidence was supplied; an independent model card was not available in this source pack.[1]
  • The catalog lists text as the only input and output modality, so this evidence does not support image, audio, or other multimodal use.[1]
  • No measured benchmark or reasoning-performance data was supplied, and the 8,192-token window may be restrictive for long-document workloads.[1]

Where to use it

  • Consider for text-only drafting, chat, summarization, or extraction when the cataloged context window fits the workload.[1]
  • Consider when provider-supported response formatting or structured outputs are useful; confirm behavior on the selected endpoint.[1]
  • Consider for teams evaluating a catalog-described open model for general text generation, with representative-task validation before adoption.[1]

Sources

  1. [1] OpenRouter catalog · Google: Gemma 2 27BSources checked: Nov 13, 2026

About this model

Description below is the original text supplied by OpenRouter, shown in the source language.

Gemma 2 27B by Google is an open model built from the same research and technology used to create the [Gemini models](/models?q=gemini). Gemma models are well-suited for a variety of...

Specifications

Model ID
google/gemma-2-27b-it
Creator
google
Added to OpenRouter
13.07.2024
Context length
8,192
Modality
text->text
Input modalities
text
Output modalities
text
Token pricing
USD per 1M tokens: in $0.650 / out $0.650
Knowledge cutoff
30.06.2024
Expiration date
—

Tasks and capabilities

A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.

TaskGradeSource-declared capability
General qualityNo measurement—
CodingNo measurement—
AgentsNo measurementparameters: structured_outputs
WritingNo measurementoutput: text
ReasoningNo measurement—
Document analysisNo measurement—
VisionNo measurement—
Image generationNo measurement—
AudioNo measurement—
VideoNo measurement—
EmbeddingsNo measurement—

Evaluations

No evaluations are supplied for this model.

How grades work

Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.

  • S — S — top 10% of the cohort
  • A — A — next 20% of the cohort
  • B — B — next 30% of the cohort
  • C — C — below the B band

Providers

Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.

ProviderContext lengthPrice in /1MPrice out /1MLatency p50 (30m, s)Throughput p50 (30m, tok/s)Uptime (30m)
NextBitint48,192$0.650$0.650——100%

Provider data retrieved: 13.11.2026

No published articles identify this model yet.