LLMgoogle

Google: Gemma 4 31B (batch)

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...

Anyone in the Project can @-mention Google: Gemma 4 31B (batch) with the team's shared context - pooled credits, one chat, one memory.

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Specifications

Provider: google
Category: llm
Context length: 262,144 tokens
Max output: 235,929 tokens
Modalities: image, text, video
License: proprietary
Released: 2026-04-02

Pricing

Input: $0.39/Mtok
Output: $0.97/Mtok
Model ID: google/gemma-4-31b-it:batch

Per-token prices show what the model costs upstream. On Switchy your team draws from one shared org credit pool - one plan, one balance for everyone.

Team cost calculator

Seats5 peopleMessages / seat / day80Avg turn size2 ktokOutput share30 %

Estimated monthly spend

$9.93

17.6M tokens / month
5 seats · 80 msgs/day

Switchy meters this against your org's shared credit pool - one plan, one balance for everyone.

Providers

Provider-level routing data is not available yet for this model.

Performance

Performance snapshots are collected daily. Check back after the next ingestion run.

Benchmarks

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Works well with

Top MCPs

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How Switchy teams use it

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