Gemma 2 27B — Google | Modeldex

Gemma 2 27B

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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...

Updated 4 days agoStructured data from Modeldex catalog

Budget

Knowledge cutoff

Jun 30, 2024(1.8 years ago)

API release

Jul 13, 2024(1.8 years ago)

Not enough benchmark coverage yet for an Intelligence Index — needs at least 3 results across 2 categories.

Overview

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...

History

Gemma 2 27B became available via the Google API on 2024-07-13.

Training & availability

Training data has a knowledge cutoff of 2024-06-30 — information about events after that date is unlikely to appear in the model's responses. Google has not released the underlying model weights — access is via their hosted API only.

Capabilities

Context window: 8K tokens.
Input modalities: text.

Recommended for: cheap.

Limitations

The knowledge cutoff is 21 months old — this model will not know about recent events, releases, or API changes.
The context window (8K tokens) is modest by 2026 standards — unsuitable for processing long documents in a single request.
Text-only — cannot process images, audio, or video inputs.

Pricing

Input: $0.6500 per 1M tokens
Output: $0.6500 per 1M tokens

Use the cost calculator above to estimate monthly spend for your workload.

Quick start

Minimal example using the google API. Copy, paste, replace the key.

from google import genai

client = genai.Client(api_key="...")
resp = client.models.generate_content(
    model="gemma-2.27b-it",
    contents="Explain quantum computing in one sentence.",
)
print(resp.text)

Cost calculator

Estimate your monthly bill. Presets are typical workload sizes.

Input tokens / month5.0M

@ $0.65/1M

Output tokens / month2.0M

@ $0.65/1M

Input cost

$3.25

5.0M × $0.65/1M

Output cost

$1.3

2.0M × $0.65/1M

Total / month

$4.55

$54.6 / year

Providers & performance

1 provider

Multi-provider inference routes for this model — sorted by throughput. Latency is time-to-first-token; throughput is output tokens per second. Data from OpenRouter, measured over the last 30 minutes.

Provider	Throughput	Latency (TTFT)	Input $ / 1M	Output $ / 1M	Context	Quant	Supports
NextBit	52tok/s	352ms	$0.65	$0.65	8K	int4	json

Popularity

Signals from open-source communities — not a quality measure, but useful for gauging adoption among developers.

🤗

HuggingFace downloads

97.0K/ month

HuggingFace likes

565

Integrations & tooling support

Tool calling: Not supported
Structured outputs: Not supported

Price vs quality

Budget pricing

Priced low — good for high-volume tasks. Quality tier pending more benchmark coverage.