Comparison

LiteLLM vs TensorZero

On the evidence we track, LiteLLM leads this comparison with a composite score of 81/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
LiteLLM81
TensorZero47
Score
Vioscale score
LiteLLM81 / 100low · 36%
TensorZero47 / 100low · 21%
Pricing
Free tier
LiteLLM
TensorZero
Model
LiteLLMfreemium
TensorZeroopen_source
Price level
LiteLLMlow
TensorZerofree
Transparent
LiteLLM
TensorZero
Integrations
Count
LiteLLM140
TensorZero3
Adoption
Dependent repos
LiteLLM
TensorZero0
Github stars
LiteLLM
TensorZero11,719
Release
Cadence days
LiteLLM
TensorZero6
History
LiteLLM
TensorZero20 items
License
Spdx
LiteLLM
TensorZeroApache-2.0
Language
Primary
LiteLLM
TensorZeroRust
Market
Availability
TensorZero

Capabilities

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

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

Leader

An open-source AI gateway that provides a centralized control point for managing multiple large language models from different providers. It offers virtual key management, spend tracking, budget controls, and intelligent request routing without charging per token.

Independently observed

TensorZero

A unified operations platform for LLM applications that provides infrastructure for routing API calls, tracking performance metrics, running experiments, and optimizing model and prompt configurations. Built as self-hosted open-source software designed for production-scale deployments.

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

Leader
HybridFree tier30-day trial

Free open-source tier. Enterprise pricing based on annual request volume, not per-token.

  • Open SourceFree
    • 100+ LLM providers
    • Virtual keys, users & teams
    • Spend tracking
    • Prometheus metrics
    • Logging and alerting
    • +3 more
  • EnterpriseContact sales
    • Everything in Open Source, plus:
    • SSO + SCIM provisioning
    • OIDC / JWT authentication
    • Audit logs on every request
    • Secret manager integration
    • +7 more
as of verify ↗

TensorZero

Open sourceFree tier
as of verify ↗

Platform & deployment

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

Platforms
Web
LiteLLM
TensorZero
CLI
LiteLLM
TensorZero
Deployment
Cloud / SaaS
LiteLLM
TensorZero
Self-hosted
LiteLLM
TensorZero
On-premise
LiteLLM
TensorZero
Hybrid
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

Leader
32 total - 30 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
  • +6 more
Independently observed

TensorZero

3 total - 1 not shared
  • Ollama
Independently observed

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