Pricing

$0/mo

Freemium
Score

4.4/5

Technical Overview

Liquid AI introduces LFM3, a new generation of open-weight 2B-parameter models integrating text, vision, audio, and decision capabilities on a shared hybrid architecture trained on 22T tokens. Built for efficient local fine-tuning, edge deployment, and high specialization. Weights and models are accessible via Hugging Face, Liquid API, and dedicated execution runtimes for engineering teams.

Analyst Evaluation: Pros and Limitations

Verified Advantages

  • Open-weight models optimized for local execution and resource-constrained edge devices.
  • Native multimodal hybrid architecture combining text, vision, audio, and decision models.
  • Massive pre-training on 22 trillion tokens delivering high task specialization capabilities.

Technical Considerations

  • Lack of public pricing transparency for commercial and enterprise tiers.
  • Limited enterprise authentication and audit logging features in initial tiers.

Technical Capabilities & Features

4/7
Included:REST & GraphQL API
Not available:SSO / SAML Authentication
Included:Self-Hosted Option
Included:Full Data Export
Included:Role-Based Access Control (RBAC)
Not available:Custom Domains & SSL
Not available:Immutable Audit Logs
Scorecard
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Technical Scorecard: Liquid AI

85/100
DX & Tech Documentation
Excellent
88/100
Pricing Fairness
Excellent
80/100
Security & Governance
Excellent
82/100
Data Portability & Sovereignty
Excellent
90/100
Performance & Reliability
Excellent
85/100

Time to Value & Fit by Segment: Liquid AI

Estimated Time-to-Value< 1 hour (Immediate)

Near-instantaneous deployment with minimal technical friction.

Learning CurveModerate (Standard)

Requires consulting technical documentation and basic credentials setup.

Fit Index by Organization Size

Startup & Agile Teams1 to 50 members
90%
Mid-Market & Scaleup50 to 500 members
85%
Corporate Enterprise500+ members
80%
Pricing & TCO
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$0.00/mo

Model: FREEMIUM.

Free Tier Verification:

  • No credit card required
  • Commercial use allowed
  • Unlimited usage with no expiration
  • No mandatory watermarks
Get Liquid AI (opens in a new tab)

Billing Risks & Hidden Clauses: Liquid AI

Free Tier Limits:

Public model weights available for download on Hugging Face with free community access via the Liquid Playground and API.

Audited Billing Critical Points:
  • Enterprise tiers require custom quotes, making long-term cost forecasting complex without direct sales engagement.
Total Cost of Ownership (TCO) Projection: Liquid AI$0.00/mo
Deterministic cost estimation at 12 and 36 months based on team size, including SSO tax premiums and annual prepay discounts.
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Indie / Solo (1 active user)

Solo developer or independent technical founder.

Base Monthly Cost
$12/month
1 active user
12-Month Investment
$122/year
Includes ~15% savings via annual billing
3-Year TCO Projection (36m)
$366total
Consolidated software licensing expenditure

Estimated Self-Hosted VPS + DevOps Cost

Break-Even Point: Profitable starting at 3 active users

Calculated infrastructure: VPS 1 vCPU / 2GB RAM (~$5) + 0.5h DevOps/mes ($20)

Annual VPS + DevOps Cost$300/year
Differential vs SaaS LicensingSaaS is $178/year
Startup (10 active users)

Agile engineering team in validation and early traction stage.

Base Monthly Cost
$120/month
10 active users
12-Month Investment
$1,224/year
Includes ~15% savings via annual billing
3-Year TCO Projection (36m)
$3,672total
Consolidated software licensing expenditure

Estimated Self-Hosted VPS + DevOps Cost

Break-Even Point: Profitable starting at 10 active users

Calculated infrastructure: VPS 2 vCPU / 8GB RAM (~$15) + 2h DevOps/mes ($80)

Annual VPS + DevOps Cost$1,140/year
Differential vs SaaS LicensingSavings of $84/year
Growth (25 active users)

Scaling company with team governance and granular access control requirements.

Base Monthly Cost
$300/month
25 active users
12-Month Investment
$3,060/year
Includes ~15% savings via annual billing
3-Year TCO Projection (36m)
$9,180total
Consolidated software licensing expenditure

Estimated Self-Hosted VPS + DevOps Cost

Break-Even Point: Profitable starting at 28 active users

Calculated infrastructure: Cluster VPS 4 vCPU / 16GB RAM (~$45) + 6h DevOps/mes ($240)

Annual VPS + DevOps Cost$3,420/year
Differential vs SaaS LicensingSaaS is $360/year
Scaleup (100 active users)

Established organization with enterprise security policies and mandatory SAML/SSO.

Base Monthly Cost
$1,200/month
100 active users
12-Month Investment
$12,240/year
Includes ~15% savings via annual billing
3-Year TCO Projection (36m)
$36,720total
Consolidated software licensing expenditure

Estimated Self-Hosted VPS + DevOps Cost

Break-Even Point: Profitable starting at 78 active users

Calculated infrastructure: Infraestructura HA redundante + Backups (~$150) + 16h DevOps/mes ($640)

Annual VPS + DevOps Cost$9,480/year
Differential vs SaaS LicensingSavings of $2,760/year
Usage Surcharges & Bill Shock Simulator: Liquid AIWhat usage costs as you scale
Detect overage penalties before they impact engineering budget.
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Prototype / MVP (10 GB)

Included base quota in plan: 5 GB.
Low Risk / Predictable Bill
Base Monthly Rate
$20/mo
Fixed subscription or contracted tier
Overage Penalty
+$1/month extra
Variable surcharge for consumption above plan quota
Estimated Monthly Invoice
$21/mo
Total monthly cost before taxes
Technical Mitigation Recommendation:

Suitable for development; verify concurrent connection limits.

Base Production (50 GB)

Included base quota in plan: 5 GB.
Low Risk / Predictable Bill
Base Monthly Rate
$20/mo
Fixed subscription or contracted tier
Overage Penalty
+$8/month extra
Variable surcharge for consumption above plan quota
Estimated Monthly Invoice
$28/mo
Total monthly cost before taxes
Technical Mitigation Recommendation:

Implement table compression policies and temporal partitioning.

Active Growth (250 GB)

Included base quota in plan: 5 GB.
High Risk / Accelerated Overages
Base Monthly Rate
$20/mo
Fixed subscription or contracted tier
Overage Penalty
+$44/month extra
Variable surcharge for consumption above plan quota
Estimated Monthly Invoice
$64/mo
Total monthly cost before taxes
Technical Mitigation Recommendation:

Offload cold backups to standard object storage (S3).

Large Scale (1.000 GB (1 TB))

Included base quota in plan: 5 GB.
Critical Risk / Severe Bill Shock
Base Monthly Rate
$20/mo
Fixed subscription or contracted tier
Overage Penalty
+$179/month extra
Variable surcharge for consumption above plan quota
Estimated Monthly Invoice
$199/mo
Total monthly cost before taxes
Technical Mitigation Recommendation:

Migrate to dedicated instance or self-hosted cluster to curtail I/O fees.

Procurement Strategy & Discounts: Liquid AIB2B Negotiation Playbook
Corporate executive level with highest authority to approve budgetary exceptions.
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Fair Market Price & B2B Procurement Benchmark

Non-renewal notice: 30 days before expirationMedian achieved discount: -12%
Public List Price
Custom / Contact
100% baseline
Audited Market Average
-12% median
~88% of list price
Optimized Target Price
-20% target
Max achievable discount (Q4 / multi-year): -20%

Verified Tactical Savings Levers

  • Annual Upfront PrepayUp to -15%

    Consolidated discount for upfront annual billing versus monthly rate.

  • Startup Credits ProgramUp to -25%

    Credits and perks for early-stage startups and accelerator programs.

Security & Data Exit
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Compliance & Security Standards: Liquid AI

Jurisdiction & Legal Sovereignty
🇺🇸United States [US]Subject to US CLOUD ActGDPR DPA Available
SSO Availability (SAML Enterprise)
No SSO Documented
Data Residency
USEUGLOBALAWSGCP
AI Privacy Policy
Opt-out available
Data Liberation & Migration Runbook: Liquid AISAFETENSORS · PYTORCH · ONNX
Actionable escape runbook and credential export guarantees to mitigate vendor lock-in.
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SAFETENSORSPYTORCHONNX
Locked: Proprietary Algorithm / No Export

Credential hashes are guarded under proprietary algorithms and cannot be exported.

CLI Command / Rescue Endpoint
huggingface-cli download liquid-ai/lfm3
Exit Protocol & Migration Notes

Los pesos de los modelos se pueden descargar directamente desde Hugging Face en formato estándar para su uso en runtimes compatibles como vLLM o llama.cpp.

Deployment & Infrastructure Requirements: Liquid AIDocker
Hardware specs and Docker directives to run on local servers, dedicated VPS, or Kubernetes without telemetry leak to the cloud.
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Minimum Memory1 GB RAM (Recommended)
Compute CPU1 vCPU
Runtime / LanguageTypeScript / Go / Rust
Code LicenseOpen Source
Docker CLI Directive
docker run -d --name liquid-ai -p 8080:8080 liquid-ai:latest
Companion Services & Dependencies:
PostgreSQL 15+Redis 7+
Community & Repository
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Technical Reputation of Liquid AI

83/100 Technical Trust

Frequent Praises in Production

  • Open-weight models optimized for local execution and resource-constrained edge devices.
  • Native multimodal hybrid architecture combining text, vision, audio, and decision models.
  • Massive pre-training on 22 trillion tokens delivering high task specialization capabilities.

Reported Production Frictions

  • Lack of public pricing transparency for commercial and enterprise tiers.
  • Limited enterprise authentication and audit logging features in initial tiers.
Commercial Treatment & Vendor Lock-in:Requires Sales Contact

Assisted cancellation requiring meeting with account team or contract notice period.

Frequently Asked Technical Questions (Liquid AI)

How can LFM3 models be downloaded and executed?

Base and post-trained LFM3 weights are publicly available on Hugging Face, allowing local download and execution using the technical documentation provided by Liquid AI.

What modalities are supported by the LFM3 model family?

The LFM3 family includes native multimodal models in the 2B parameter range covering text, vision, audio, omni capabilities, and decision models on a shared architectural backbone.

Is programmatic access available via an API?

Yes, Liquid AI provides access to models through its dedicated API, alongside an online Playground for preliminary inference testing.

Can LFM3 models be fine-tuned locally on proprietary hardware?

Yes, the model architecture is specifically engineered to enable efficient local fine-tuning directly on edge devices and private infrastructure.

Embed Verification Badge
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