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Google: Gemma 3 12B

Source description (English)

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

Overview

Model specifications

Context
131,072 tokens
Maximum output
16,384 tokens
Architecture
text+image->text
Tokenizer
Gemini
Knowledge cutoff
2024-08-31
Moderated
No
OPENROUTER

Complete pricing

Synchronized OpenRouter rates. Token prices are shown per one million tokens.

Input
$0.05
per 1M tokens
Output
$0.15
per 1M tokens
API

Quick start

Set OPENROUTER_API_KEY locally. Python requires requests; JavaScript runs in Node.js. Keep the key on the server.

API documentation

curl --fail-with-body https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"google/gemma-3-12b-it","messages":[{"role":"user","content":"Hello!"}]}'
Capabilities

Input → Output

Input
textimage
Output
text
API

Supported API parameters

frequency_penaltylogit_biasmax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Available providers

1 Provider

Checked: September 7, 2026

Live providers on OpenRouter

Provider availability, latency, throughput and routing can change continuously. Open the source page for current operational data.

OpenRouter

DeepInfra

bf16
Context
131K
Maximum output
16K
Input
$0.05
Output
$0.15
Cache read
Not provided
Cache write
Not provided
google

4 models

All models
google logogoogle

Google: Gemini 4 Argon

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

Context
1.0M
Input
audio · file · image · text · video
Output
text
Input: $2Output: $10per 1M tokens
View model details →
google logogoogle

Google: Gemini 4 Argon (batch)

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across...

Context
1.0M
Input
audio · file · image · text · video
Output
text
Input: $1Output: $5per 1M tokens
View model details →
google logogoogle

Google: Nano Banana 2.1

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization,...

Context
66K
Input
image · text
Output
image · text
Input: $1.5 per 1M tokensOutput: $7.5 per 1M tokens
View model details →
google logogoogle

Google: Gemini 3.5 Transcribe

Gemini 3.5 Transcribe is a speech-to-text model from Google. It is suited for synchronous transcription that needs word-level timestamps or speaker diarization, with support for up to eight speakers. Audio...

Context
98K
Input
audio
Output
transcription
Input: $2 per 1M tokensOutput: $12 per 1M tokens
View model details →