AI Infrastructure & MLOps Free

TensorZero

Open-source LLM gateway, observability, evaluation, and optimization stack

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PricingFree
Free planYes
Free trialYes
APIYes
Open sourceYes
DeploymentSelf Hosted
Last verifiedAugust 3, 2026
Overview

Tool overview

TensorZero is listed under AI Infrastructure & MLOps AI tools.

Summary

What is TensorZero?

TensorZero is an Apache-2.0 LLMOps platform that combines a high-performance gateway, observability, evaluation, experimentation, and optimization. Teams can run it locally or self-host production services and access it through HTTP, Python, and Node clients.

Best fit

Best for

Engineering teams operating measurable, self-hosted LLM applications

Audience

Who is it for?

ML engineersPlatform engineersAI application teamsEvaluation teams
Recommendation

Decision note

Rebuilt from the original export under the complete V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.

Capabilities

Key features

Unified inference and feedback gateway

Observability and evaluation workflows

Experimentation and optimization tools

Local and high-availability deployment

Workflows

Use cases

Standardize calls across model providers

Monitor prompts and model variants

Run evaluations and experiments

Build feedback-driven optimization loops

Strengths

Pros

  • Permissive Apache-2.0 license
  • Documented HTTP API and clients
  • Self-hosted production architecture
Considerations

Cons

  • Operating the stack requires infrastructure skills
  • Model-provider charges remain separate
Considerations

Limitations

Production reliability depends on database, observability, networking, and model-provider configuration.

Teams must protect API keys, validate evaluation design, and monitor cost, latency, drift, and sensitive data.

Cost

Pricing details

Pricing modelFree
Free planYes
Free trialYes
Pricing context

Billing options

Free open-source softwareSeparate model and infrastructure costs
Pricing context

Pricing note

TensorZero is free open-source software. Users pay their own model-provider, database, compute, storage, and observability costs. No managed paid service price was published.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

OpenAI-compatible clients

Major LLM providers

ClickHouse

PostgreSQL

OpenTelemetry

Prometheus

Specs

Technical details

PlatformsAPI
Multilingual supportYes
Login requiredNo
Open sourceYes
LicenseApache-2.0
DeploymentSelf Hosted
CompanyTensorZero
Current version2026.5.2
Models / versionsTensorZero Gateway TensorZero UI
Editions / plansOpen-source edition
Data confidenceHigh
Last verifiedAugust 3, 2026
Documentation → Source code → Release notes → Data source →
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Answers

Frequently asked questions

TensorZero is an Apache-2.0 LLMOps platform that combines a high-performance gateway, observability, evaluation, experimentation, and optimization. Teams can run it locally or self-host production services and access it through HTTP, Python, and Node clients.
Engineering teams operating measurable, self-hosted LLM applications
The listed pricing model for TensorZero is free. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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