Deployment Brief

Magnum v4 72B

Magnum v4 72B is a premium model with standard context support, suited to general chat and enterprise assistants for enterprise teams.

Try Magnum v4 72B with your team

Last reviewed: 2026-04-28

Context Window
16,384
Input / 1M
$4.50
Output / 1M
$7.50

What can you do with Magnum v4 72B?

Practical ways teams can use Magnum v4 72B inside governed AI workflows.

01

Summarize long documents with Magnum v4 72B

Condense contracts, policies, technical specs, RFPs, and research reports into decision-ready summaries with Magnum v4 72B.

02

Create presentations with Magnum v4 72B

Turn notes, research, and meeting outcomes into structured slide outlines, speaker notes, and executive narratives with Magnum v4 72B.

03

Code and debug with Magnum v4 72B

Draft features, explain unfamiliar code, generate tests, review pull requests, and reason through implementation tradeoffs with Magnum v4 72B.

04

Analyze spreadsheets with Magnum v4 72B

Interpret CSV exports, explain variance, generate formulas, and identify operational or financial patterns with Magnum v4 72B.

05

Draft customer communications with Magnum v4 72B

Create support replies, sales follow-ups, onboarding emails, renewal messages, and account updates with Magnum v4 72B.

06

Prepare legal and compliance reviews with Magnum v4 72B

Extract obligations, flag risky clauses, compare policy language, and prepare review checklists with Magnum v4 72B.

07

Build workflow automations with Magnum v4 72B

Plan agent steps, transform data between tools, create structured outputs, and support repeatable operations with Magnum v4 72B.

08

Research competitors and markets with Magnum v4 72B

Synthesize market signals, positioning, pricing context, customer segments, and competitive risks with Magnum v4 72B.

09

Create knowledge-base answers with Magnum v4 72B

Answer employee questions from internal policies, product docs, training material, and operating procedures with Magnum v4 72B.

10

Support finance planning with Magnum v4 72B

Draft budget narratives, explain spend drivers, create forecast assumptions, and summarize vendor costs with Magnum v4 72B.

11

Improve security reviews with Magnum v4 72B

Classify risk, draft incident summaries, review access patterns, and create remediation action lists with Magnum v4 72B.

12

Generate product and marketing copy with Magnum v4 72B

Create landing-page drafts, positioning variants, launch messaging, ad concepts, and campaign briefs with Magnum v4 72B.

Why this model

Magnum v4 72B is available in Remova as a standard context option with $4.50 per 1M tokens input pricing, $7.50 per 1M tokens output pricing, and text->text modality support for enterprise AI operations.

  • Magnum v4 72B offers standard context capacity for enterprise prompts and documents.
  • Current Remova pricing band is premium: $4.50 per 1M tokens input and $7.50 per 1M tokens output.
  • Best-fit workloads include: General chat, Enterprise assistants.
  • Route requests by policy tier so teams do not overuse capability.

At a glance

Model ID
anthracite-org/magnum-v4-72b
Context Window
16,384 tokens
Modality
text->text
Input Modalities
text
Output Modalities
text
Input Price
$4.50 per 1M tokens
Output Price
$7.50 per 1M tokens
Provider
Anthracite Org
Listing Date
2024-10-22

Strengths

  • Magnum v4 72B is suited for general chat.
  • Supports standard context for multi-step prompts and larger working sets.
  • Pricing profile is premium, enabling predictable workload routing decisions.
  • Can be paired with policy guardrails for safer deployment at scale.

Tradeoffs

  • Quality and latency should be benchmarked against your internal prompt set before broad rollout.
  • Standard context limits may require chunking or retrieval strategies for large documents.
  • Premium tiers should be restricted to high-value workflows to avoid unnecessary spend concentration.
  • Text-only modality can limit workflows that rely on image, audio, or document interpretation.

Best for

  • Magnum v4 72B for internal productivity assistants and knowledge workflows.
  • Magnum v4 72B for internal productivity assistants and knowledge workflows.
  • Magnum v4 72B for governed enterprise assistant workflows across teams.
  • Magnum v4 72B for governed enterprise assistant workflows across teams.

Rollout checklist

  • Define where Magnum v4 72B 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.
  • Define escalation rules to premium models before launch.
  • Re-run quality and cost benchmarks monthly as newer releases appear.

Related models

Explore adjacent model profiles for routing and benchmarking decisions.

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

frequency_penalty

Tune repetition control for long responses in multi-step workflows.

logit_bias

Use this parameter only with tested defaults in production workflows.

logprobs

Use this parameter only with tested defaults in production workflows.

max_tokens

Set completion limits to avoid unpredictable long-output spend.

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

Magnum v4 72B FAQs

Choose Magnum v4 72B when the workload aligns with general chat, enterprise assistants 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 Magnum v4 72B with your team