gemma-2-27b-it
Gemma 2 27B is an open model from Google, built from the same research and technology used to create the Gemini models and suited for a variety of text generation tasks.
Precio: Entrada: 156 créditos / 1 M de tokens (≈ $0.78); salida: 156 créditos / 1 M de tokens (≈ $0.78).
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Gemma 2 27B API on ModelFold
Gemma 2 27B is an open model from Google, built from the same research and technology used to create the Gemini models and suited for a variety of text generation tasks. Try Gemma 2 27B in the ModelFold Playground, then call it from your own code through an OpenAI-compatible chat completions API.
What Is the Gemma 2 27B API
Gemma 2 27B at a glance
Gemma 2 27B is a chat model from Google. It accepts text as input and returns text, with a context window of up to 8K tokens.
Use it without hosting anything
On ModelFold you call Gemma 2 27B with a single API key — no model weights to download and no inference servers to run. The same key also works for the other chat, image, video and audio models on ModelFold.
Core Capabilities of Gemma 2 27B
Up to 8K tokens of context
Keep long conversations, large documents and sizeable code in a single request, so the model can reason over the full material instead of fragments.
Structured outputs
Ask for JSON that follows a schema (response_format), which makes extraction, classification and system integrations more reliable.
How to Use Gemma 2 27B on ModelFold
- 1
Step 1: Try it in the Playground
Open the Playground at the top of this page, type a prompt and see how Gemma 2 27B responds before writing any code.
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Step 2: Create an API key
Sign in to ModelFold and create an API key in the console. Keep it secret and send it as a Bearer token.
- 3
Step 3: Send a request
Call POST https://modelfold.ai/v1/chat/completions with "model": "gemma-2-27b-it" and your messages. Existing OpenAI-compatible SDKs work by changing the base URL and key.
- ✓
Step 4: Ship and monitor
Integrate the response into your product and check token usage and spend for every call in the console logs.
What You Can Build with Gemma 2 27B
Writing and content
Draft, edit and translate articles, emails, product copy and documentation in a consistent tone.
High-volume pipelines
Run classification, extraction, rewriting and batch jobs at scale where cost per request matters.
Analysis and complex reasoning
Work through research questions, data interpretation, planning and other problems that need careful step-by-step reasoning.
Frequently Asked Questions
What is Gemma 2 27B?⌄
Gemma 2 27B is an open model from Google, built from the same research and technology used to create the Gemini models and suited for a variety of text generation tasks.
Which inputs does Gemma 2 27B support?⌄
Gemma 2 27B accepts text and returns text. Through ModelFold you send text messages; documents attached in the Playground are converted to text.
How long is the context window of Gemma 2 27B?⌄
Up to 8K tokens, shared between your input and the model’s output.
Does Gemma 2 27B support function calling?⌄
Function calling is not listed for Gemma 2 27B; requests that include tools will be rejected. Use plain prompts or JSON output instead.
How is Gemma 2 27B billed on ModelFold?⌄
Pay as you go by tokens: input and output tokens are charged at the per-million-token prices shown on this page. There is no monthly fee, and failed requests are not charged.
How do I call Gemma 2 27B through the API?⌄
Send a POST request to https://modelfold.ai/v1/chat/completions with "model": "gemma-2-27b-it", using your ModelFold API key as the Bearer token.
| Entrada | 156 créditos 1M tokens≈ $0.78 |
| Salida | 156 créditos 1M tokens≈ $0.78 |
Se cobra por token, con tarifas separadas para entrada y salida. Los tokens de razonamiento cuentan como salida. El entorno de pruebas aplica exactamente el mismo cálculo.
Leer la documentación de la API →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"gemma-2-27b-it","messages":[{"role":"user","content":"Hello"}]}'