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Gemma 4 31B

Healthychattoolsvision
Context
262K
Max output
-
Speed
Balanced
Quality
Standard
Released
2026-04-02
Input: / Output:
ImageTextVideoText

About this model

Open 31B multimodal reasoning model for coding, long context, and agentic workflows. Gemma 4 31B is Google's flagship dense open-weights model in the Gemma 4 family.

Pricing

RateRODIUSD (ref.)Unit
Text tokens
In77.3~ 0.102per 1M tokens (RODI/M, USD/M)
Out225.0~ 0.297per 1M tokens (RODI/M, USD/M)
Prompt caching
Cached9.1~ 0.0120per 1M tokens (RODI/M, USD/M)

RODI prices include RodiumAi markup and upstream fees. USD figures are wholesale reference rates.

Providers & pricing

ProviderInputOutputCachedFree tierStatus
Runware

Runware

Default

All rates (3)
  • In77.3 RODI/M
  • Out225.0 RODI/M
  • Cached9.1 RODI/M
77.32259.1-No data

Capabilities

Streaming
Tool calling
Vision
JSON mode
Reasoning

API usage

Use the canonical slug with client.chat() or chat.completions.create().

Examples

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Example response

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RodiumAi SDK

Official Python, JavaScript, and Laravel SDKs: flat API aligned with this model slug.

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Use cases

  • Read receipts, invoices, ID cards and forms, then return structured JSON.
  • Describe photos for accessibility or catalogue listings.
  • Check product photos against a checklist (damage, label, packaging).
  • Understand screenshots, charts and diagrams in support tickets.
  • Compare two images in a single request by sending several image_url parts.

Notes

  • Endpoint: POST https://api.rodiumai.io/v1/chat/completions, with content as a list of text and image_url parts.
  • image_url.url accepts an https:// URL or a base64 data URL (data:image/png;base64,...). A data URL with a missing or non-image MIME type is rejected with a 400 before reaching the model.
  • Images are billed as input tokens. Large images cost more, so resize photos to what the task needs.
  • Put the question in a text part of the same message as the image.
View all