Gemma 4 31B
by GoogleReleased Apr 2, 2026
google/gemma-4-31b-it- Reads images
- Calls tools
- Answers in a JSON schema
- Reasons before it answers
Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...
- Input / 1M tokens
- $0.11
- Output / 1M tokens
- $0.41
- Context
- 262K
- Longest answer
- 16K
What it costs
What each call is charged to the token's AI credit.
| Billed for | You pay |
|---|---|
| Input tokens | $0.11 / 1M |
| Output tokens | $0.41 / 1M |
| Cached input, read | $0.06 / 1M |
A typical call
A short chat turn: 2,000 tokens in, 500 out.
- per call
- $0.0004
- calls per $20
- 48K
What it can do
From its listing. The router passes every field through.
- Reads imagesYes
- Reads files and PDFsNo
- Hears audioNo
- Calls toolsYes
- Answers in a JSON schemaYes
- Reasons before it answersYes
- Searches the webNo
- Caches long promptsYes
- Draws imagesNo
Call it
Any router key works, in the format your SDK already speaks.
import OpenAI from "openai";const ai = new OpenAI({ baseURL: "https://relayfor.si/api/v1", apiKey: process.env.RELAYFOR_ROUTER_KEY,});const reply = await ai.chat.completions.create({ model: "google/gemma-4-31b-it", messages: [{ role: "user", content: "Welcome the 1,000th holder in one line." }],});Specifications
What its maker and providers list for it.
- Reads
- Images, Text, and Video
- Writes
- Text
- Context
- 262,144 tokens
- Longest answer
- 16,384 tokens
- Intelligence index
- 14.7 (#121 of 219 rated)
- Released
- Apr 2, 2026
- Moderation
- None
Request fields
The fields its providers accept, passed through as you send them.
- frequency_penalty
- include_reasoning
- logit_bias
- logprobs
- max_tokens
- min_p
- presence_penalty
- reasoning
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Questions
How much does Gemma 4 31B cost?
$0.11 per million input tokens and $0.41 per million output tokens, paid from the token's AI credit. A call of 2,000 tokens in and 500 out costs about $0.0004.
How do I call Gemma 4 31B?
Make a router key for one of your tokens on the dashboard, point any OpenAI or Anthropic SDK at https://relayfor.si/api/v1 and send the model id google/gemma-4-31b-it. The token's AI credit pays for each call.
How long a prompt can Gemma 4 31B take?
Up to 262,144 tokens of context, and up to 16,384 tokens in one answer.
Are my prompts stored?
No. The RFS Router passes each call through and keeps only its token counts and cost, for the token's usage page.
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