Quick Profile

Gemma 4 31B IT

Name: Gemma 4 31B IT
Brand: Google

Gemma 4 31B IT is a cost-efficient model with long context support, suited to coding assistants and document analysis for enterprise teams.

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Last reviewed: 2026-04-07

Context Window

262,144

Input / 1M

$0.14

Output / 1M

$0.40

Why this model

Google lists Gemma 4 31B IT as a long context option with $0.14 per 1M tokens input pricing, $0.40 per 1M tokens output pricing, and text->text modality support for enterprise AI operations.

Gemma 4 31B IT offers long context capacity for enterprise prompts and documents.
Current pricing band is cost-efficient: $0.14 per 1M tokens input and $0.40 per 1M tokens output.
Best-fit workloads include: Coding assistants, Document analysis, Multilingual enterprise copilots.
Keep role-based access in place before broad rollout.

At a glance

Model ID: google/gemma-4-31b-it
Context Window: 262,144 tokens
Modality: text->text
Input Modalities: text
Output Modalities: text
Input Price: $0.14 per 1M tokens
Output Price: $0.40 per 1M tokens
Provider: Google
Listing Date: 2026-04-02

Strengths

Gemma 4 31B IT is suited for coding assistants.
Supports long context for multi-step prompts and larger working sets.
Pricing profile is cost-efficient, enabling predictable workload routing decisions.
Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

Operational drift can appear over time without recurring quality evaluations.
Long-context prompts can increase spend and latency if prompts are not scoped carefully.
Low-cost tiers can still underperform on high-consequence decisions without escalation paths.
Text-only modality can limit workflows that rely on image, audio, or document interpretation.

Best for

Gemma 4 31B IT for internal productivity assistants and knowledge workflows.
Gemma 4 31B IT for internal productivity assistants and knowledge workflows.
Gemma 4 31B IT for internal productivity assistants and knowledge workflows.
Gemma 4 31B IT for governed enterprise assistant workflows across teams.

Rollout checklist

Define where Gemma 4 31B IT is default vs. fallback in your routing policy.
Enable role-based access and policy checks before opening access broadly.
Set spend guardrails by team and monitor weekly token consumption.
Start with one workflow, then expand after you verify quality and spend.
Re-run quality and cost benchmarks monthly as newer releases appear.

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Safe AI Use Case Selector

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Tuning notes

max_tokens

Set completion limits to avoid unpredictable long-output spend.

temperature

Lower temperature for deterministic policy and compliance tasks.

top_p

Use tighter sampling for stable outputs in repeatable operations.

response_format

Prefer structured output where responses feed internal systems.

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AI Risk Test

Test what can go wrong before teams start using AI loosely across the company.

You get

A short risk summary with the main gaps to close.

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Knowledge Hub

Gemma 4 31B IT FAQs

Choose Gemma 4 31B IT when the workload aligns with coding assistants, document analysis, multilingual enterprise copilots and quality targets justify its pricing profile.

It depends on workload mix. Most organizations use routing policies so routine traffic stays on lower-cost tiers.

Validate quality on real internal prompts, token efficiency, latency, and policy compliance behavior.

Deploy This Model With Governance

Use policy controls, role-based access, and budget guardrails before enabling advanced model tiers at scale.

Try Gemma 4 31B IT with your team