Comparison

LiteLLM vs TensorZero

No clear leader: LiteLLM (57.6) and TensorZero (56.2) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.

LiteLLM full profile →TensorZero full profile →

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.

LiteLLM58

TensorZero56

Attribute comparison across 2 tools
Attribute	LiteLLM	TensorZero
vioscaleAI score	58 / 100low · 35%	56 / 100low · 48%
Pricing
Free tierpricing.free_tier	✓	✓
Modelpricing.model	freemium	open_source
Price levelpricing.price_level	low	free
Transparentpricing.transparent	✗	-
Integrations
Countintegrations.count	140	4
Security
Vulnerabilitiessecurity.vulnerabilities	-	Count: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=npm&package_name=tensorzero&per_page=100 · Last 12m: 0
Adoption
Dependent reposadoption.dependent_repos	-	0
Github starsadoption.github_stars	-	11,707
Release
Cadence daysrelease.cadence_days	-	6
Historyrelease.history	-	20 items
License
Spdxlicense.spdx	-	Apache-2.0
Language
Primarylanguage.primary	-	Rust
Market
Availabilitymarket.availability	Available worldwide	-
Content
Faqcontent.faq	5 items	6 items

Score

vioscaleAI score

LiteLLM58 / 100low · 35%

TensorZero56 / 100low · 48%

Pricing

Free tier

LiteLLM✓

TensorZero✓

Model

LiteLLMfreemium

TensorZeroopen_source

Price level

LiteLLMlow

TensorZerofree

Transparent

LiteLLM✗

TensorZero–

Integrations

Count

LiteLLM140

TensorZero4

Security

Vulnerabilities

LiteLLM–

TensorZeroCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=npm&package_name=tensorzero&per_page=100 · Last 12m: 0

Adoption

Dependent repos

LiteLLM–

TensorZero0

Github stars

LiteLLM–

TensorZero11,707

Release

Cadence days

LiteLLM–

TensorZero6

History

LiteLLM–

TensorZero20 items

License

Spdx

LiteLLM–

TensorZeroApache-2.0

Language

Primary

LiteLLM–

TensorZeroRust

Market

Availability

LiteLLMAvailable worldwide

TensorZero–

Content

Faq

LiteLLM5 items

TensorZero6 items

Capabilities

Feature-by-feature on the axes that matter for llm gateways. “-” means undocumented, not absent.

Capability comparison for Llm Gateways
Capability	LiteLLM	TensorZero
Capabilities
Openai compatible API	✓	✓
Automatic failover	✓	✓
Routing strategy	Cost based	-
Caching	-	-
Virtual key management	✓	✓
Budget spend controls	✓	-
Rate limiting	✓	-
Guardrails moderation	Built in	-
Request cost observability	✓	✓
Streaming support	-	-
Deployment model	Self hosted	Self hosted
Open source	✓	✓
Pricing model	Open source self host	Open source self host

Capabilities

Openai compatible API

LiteLLM✓

TensorZero✓

Automatic failover

LiteLLM✓

TensorZero✓

Routing strategy

LiteLLMCost based

TensorZero-

Caching

LiteLLM-

TensorZero-

Virtual key management

LiteLLM✓

TensorZero✓

Budget spend controls

LiteLLM✓

TensorZero-

Rate limiting

LiteLLM✓

TensorZero-

Guardrails moderation

LiteLLMBuilt in

TensorZero-

Request cost observability

LiteLLM✓

TensorZero✓

Streaming support

LiteLLM-

TensorZero-

Deployment model

LiteLLMSelf hosted

TensorZeroSelf hosted

Open source

LiteLLM✓

TensorZero✓

Pricing model

LiteLLMOpen source self host

TensorZeroOpen source self host

What each one is

The product in its own terms, so the numbers below have context.

LiteLLM

An open-source AI gateway that abstracts access to over 140 language model providers behind a single OpenAI-compatible API, enabling teams to implement spend tracking, request routing, and governance controls without changing application code.

Independently observed

TensorZero

A self-hosted platform that combines deployment, monitoring, evaluation, and optimization for language model applications. It enables teams to manage multiple model providers through a single interface, measure performance across different configurations, and automatically improve routing strategies and prompts.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

LiteLLM

HybridFree tier30-day trial

Free open-source self-hosted tier; Enterprise priced to scale

Open SourceFree
- 100+ LLM providers, one OpenAI API
- Virtual keys, users & teams
- Spend tracking
- Budgets + rate limits
- LLM fallbacks
- +3 more
EnterpriseContact sales
- Everything in Open Source, plus:
- SSO + SCIM
- OIDC / JWT auth
- Audit logs
- Secret managers + key rotation
- +5 more

as of 2026-10-02verify ↗

TensorZero

Open source

as of 2026-09-14verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platform and deployment support comparison
Supports	LiteLLM	TensorZero
WebPlatforms	✓	✓
CLIPlatforms	✓	✗
Cloud / SaaSDeployment	✓	✗
Self-hostedDeployment	✓	✓
On-premiseDeployment	✓	✗
Air-gappedDeployment	✓	✗

Platforms

Web

LiteLLM✓

TensorZero✓

CLI

LiteLLM✓

TensorZero✗

Deployment

Cloud / SaaS

LiteLLM✓

TensorZero✗

Self-hosted

LiteLLM✓

TensorZero✓

On-premise

LiteLLM✓

TensorZero✗

Air-gapped

LiteLLM✓

TensorZero✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (2)

OpenAI
Slack

LiteLLM

36 total - 34 not shared

Anthropic
Azure
AWS Bedrock
Cloudflare
Google VertexAI
Meta Llama
Mistral AI
NLP Cloud
OVHCloud
vLLM
Nvidia NIM
Discord
Microsoft Teams
PagerDuty
Prometheus
AWS Secrets Manager
Google Cloud Secret Manager
MCP servers
Gemini
Bedrock
VertexAI
Langfuse
Langsmith
Datadog
+10 more

Independently observed

TensorZero

4 total - 2 not shared

Ollama
Teams

Independently observed

Still deciding?

LiteLLM or TensorZero: which one depends on you

A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.

Free to run, no account needed to start. How the evaluation works

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.