Governed Profile

Gemma 4 31B IT

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

Try Gemma 4 31B IT with your team

Last reviewed: 2026-05-19

Gemma 4 31B IT

Google

Stable
Context Window
262,144
Input / 1M
$0.21
Output / 1M
$0.60

Watch Gemma 4 31B IT in Remova

See how a team selects Gemma 4 31B IT, passes policy checks, and routes the request safely through Remova.

Use Gemma 4 31B IT Safely on Remova

Model demo

A 36-second overview showing how teams can select Gemma 4 31B IT inside Remova, pass policy checks, apply it to real-world work, and use advanced AI with redaction, routing, budgets, and audit trails.

Video transcript

Gemma 4 31B IT for enterprise AI. Remova routes model access, long-context analysis, and assistant workflows through governance controls. In the Remova interface, a user selects Gemma 4 31B IT, passes sensitive data redaction, budget threshold, and role access checks, then runs the request safely. Teams can use Gemma 4 31B IT for code and debug, build workflow automations, improve security reviews, summarize long documents, create presentations, analyze spreadsheets. Use Gemma 4 31B IT safely on Remova with redaction, routing, budgets, and audit trails built in. Sign up now.

What can you do with Gemma 4 31B IT?

Practical ways teams can use Gemma 4 31B IT inside governed AI workflows.

01

Code and debug with Gemma 4 31B IT

Draft features, explain unfamiliar code, generate tests, review pull requests, and reason through implementation tradeoffs with Gemma 4 31B IT.

02

Build workflow automations with Gemma 4 31B IT

Plan agent steps, transform data between tools, create structured outputs, and support repeatable operations with Gemma 4 31B IT.

03

Improve security reviews with Gemma 4 31B IT

Classify risk, draft incident summaries, review access patterns, and create remediation action lists with Gemma 4 31B IT.

04

Summarize long documents with Gemma 4 31B IT

Condense contracts, policies, technical specs, RFPs, and research reports into decision-ready summaries with Gemma 4 31B IT.

05

Create presentations with Gemma 4 31B IT

Turn notes, research, and meeting outcomes into structured slide outlines, speaker notes, and executive narratives with Gemma 4 31B IT.

06

Analyze spreadsheets with Gemma 4 31B IT

Interpret CSV exports, explain variance, generate formulas, and identify operational or financial patterns with Gemma 4 31B IT.

07

Draft customer communications with Gemma 4 31B IT

Create support replies, sales follow-ups, onboarding emails, renewal messages, and account updates with Gemma 4 31B IT.

08

Prepare legal and compliance reviews with Gemma 4 31B IT

Extract obligations, flag risky clauses, compare policy language, and prepare review checklists with Gemma 4 31B IT.

09

Research competitors and markets with Gemma 4 31B IT

Synthesize market signals, positioning, pricing context, customer segments, and competitive risks with Gemma 4 31B IT.

10

Create knowledge-base answers with Gemma 4 31B IT

Answer employee questions from internal policies, product docs, training material, and operating procedures with Gemma 4 31B IT.

11

Support finance planning with Gemma 4 31B IT

Draft budget narratives, explain spend drivers, create forecast assumptions, and summarize vendor costs with Gemma 4 31B IT.

12

Generate product and marketing copy with Gemma 4 31B IT

Create landing-page drafts, positioning variants, launch messaging, ad concepts, and campaign briefs with Gemma 4 31B IT.

Why this model

Gemma 4 31B IT is available in Remova as a long context option with $0.21 per 1M tokens input pricing, $0.60 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 Remova pricing band is cost-efficient: $0.21 per 1M tokens input and $0.60 per 1M tokens output.
  • Best-fit workloads include: Coding assistants, Document analysis, Multilingual enterprise copilots.
  • Keep audit logs enabled for high-impact use cases.

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
$0.21 per 1M tokens
Output Price
$0.60 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

  • Without workload routing, teams may overuse this model for requests that fit lower-cost tiers.
  • 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 governed team assistants with role access, policy checks, and audit trails.
  • Gemma 4 31B IT for internal productivity assistants and knowledge workflows.
  • Gemma 4 31B IT for repeatable team workflows that need budget and access governance.
  • Gemma 4 31B IT for productivity use cases that still need review and escalation paths.

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 approved teams, then expand in controlled waves.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Free Resource

Where Should Your Team Start with AI?

Tell us your industry and team size. We'll tell you which AI use cases will save the most time with the least setup.

You get

A shortlist of AI use cases ranked by impact and effort for your situation.

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.

Free Assessment

What Could Go Wrong?

5 questions about how your company uses AI today. We'll show you the risks most companies miss until it's too late.

You get

A risk breakdown with the 3 things you should fix first.

Book demo
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