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LiquidAI: LFM2-24B-A2B

LiquidAI: LFM2-24B-A2B is a cost-efficient model with standard context support, suited to general chat and enterprise assistants for enterprise teams.

Try LiquidAI: LFM2-24B-A2B with your team

Last reviewed: 2026-04-28

Context Window
32,768
Input / 1M
$0.05
Output / 1M
$0.18

What can you do with LiquidAI: LFM2-24B-A2B?

Practical ways teams can use LiquidAI: LFM2-24B-A2B inside governed AI workflows.

01

Create presentations with LiquidAI: LFM2-24B-A2B

Turn notes, research, and meeting outcomes into structured slide outlines, speaker notes, and executive narratives with LiquidAI: LFM2-24B-A2B.

02

Code and debug with LiquidAI: LFM2-24B-A2B

Draft features, explain unfamiliar code, generate tests, review pull requests, and reason through implementation tradeoffs with LiquidAI: LFM2-24B-A2B.

03

Summarize long documents with LiquidAI: LFM2-24B-A2B

Condense contracts, policies, technical specs, RFPs, and research reports into decision-ready summaries with LiquidAI: LFM2-24B-A2B.

04

Analyze spreadsheets with LiquidAI: LFM2-24B-A2B

Interpret CSV exports, explain variance, generate formulas, and identify operational or financial patterns with LiquidAI: LFM2-24B-A2B.

05

Draft customer communications with LiquidAI: LFM2-24B-A2B

Create support replies, sales follow-ups, onboarding emails, renewal messages, and account updates with LiquidAI: LFM2-24B-A2B.

06

Prepare legal and compliance reviews with LiquidAI: LFM2-24B-A2B

Extract obligations, flag risky clauses, compare policy language, and prepare review checklists with LiquidAI: LFM2-24B-A2B.

07

Build workflow automations with LiquidAI: LFM2-24B-A2B

Plan agent steps, transform data between tools, create structured outputs, and support repeatable operations with LiquidAI: LFM2-24B-A2B.

08

Research competitors and markets with LiquidAI: LFM2-24B-A2B

Synthesize market signals, positioning, pricing context, customer segments, and competitive risks with LiquidAI: LFM2-24B-A2B.

09

Create knowledge-base answers with LiquidAI: LFM2-24B-A2B

Answer employee questions from internal policies, product docs, training material, and operating procedures with LiquidAI: LFM2-24B-A2B.

10

Support finance planning with LiquidAI: LFM2-24B-A2B

Draft budget narratives, explain spend drivers, create forecast assumptions, and summarize vendor costs with LiquidAI: LFM2-24B-A2B.

11

Improve security reviews with LiquidAI: LFM2-24B-A2B

Classify risk, draft incident summaries, review access patterns, and create remediation action lists with LiquidAI: LFM2-24B-A2B.

12

Generate product and marketing copy with LiquidAI: LFM2-24B-A2B

Create landing-page drafts, positioning variants, launch messaging, ad concepts, and campaign briefs with LiquidAI: LFM2-24B-A2B.

Why this model

LiquidAI: LFM2-24B-A2B is available in Remova as a standard context option with $0.05 per 1M tokens input pricing, $0.18 per 1M tokens output pricing, and text->text modality support for enterprise AI operations.

  • LiquidAI: LFM2-24B-A2B offers standard context capacity for enterprise prompts and documents.
  • Current Remova pricing band is cost-efficient: $0.05 per 1M tokens input and $0.18 per 1M tokens output.
  • Best-fit workloads include: General chat, Enterprise assistants.
  • Keep role-based access in place before broad rollout.

At a glance

Model ID
liquid/lfm-2-24b-a2b
Context Window
32,768 tokens
Modality
text->text
Input Modalities
text
Output Modalities
text
Input Price
$0.05 per 1M tokens
Output Price
$0.18 per 1M tokens
Provider
Liquid
Listing Date
2026-02-25

Strengths

  • LiquidAI: LFM2-24B-A2B is suited for general chat.
  • Supports standard 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

  • Governance controls are still required for regulated or sensitive workflows.
  • Standard context limits may require chunking or retrieval strategies for large documents.
  • 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

  • LiquidAI: LFM2-24B-A2B for internal productivity assistants and knowledge workflows.
  • LiquidAI: LFM2-24B-A2B for internal productivity assistants and knowledge workflows.
  • LiquidAI: LFM2-24B-A2B for governed enterprise assistant workflows across teams.
  • LiquidAI: LFM2-24B-A2B for governed enterprise assistant workflows across teams.

Rollout checklist

  • Define where LiquidAI: LFM2-24B-A2B 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.

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.

max_tokens

Set completion limits to avoid unpredictable long-output spend.

min_p

Use this parameter only with tested defaults in production workflows.

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

LiquidAI: LFM2-24B-A2B FAQs

Choose LiquidAI: LFM2-24B-A2B 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 LiquidAI: LFM2-24B-A2B with your team