Home/Compare/ai-gateway vs inference

Comparison

ai-gateway vs inference

Verdict

Pick ai-gateway if ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment; pick inference if xinference is a unified production-ready inference API for deploying and running various models, including LLMs, on different environments.

Markdown twin · ai-gateway alternatives · inference alternatives

GraphCanon updated Sep 20, 2026

14views this month

ai-gateway logo

ai-gateway

ferro-labs/ai-gateway

★ 256pushed Sep 10, 2026
vs
inference logo

inference

xorbitsai/inference

★ 9.6kpushed Sep 18, 2026

Trust & integrity

Signalai-gatewayinference
Maintenance
Very active (2d since push)
As of Sep 12, 2026 · github_public_v1
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 12, 2026 · github_public_v1
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Jul 15, 2026 · osv@v1
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

ai-gateway
Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls
inference
Unified production-ready inference API for various LLMs and models

Stars

ai-gateway
256
inference
9.6k

Forks

ai-gateway
35
inference
866

Open issues

ai-gateway
68
inference
39

Language

ai-gateway
Go
inference
Python

Adopt for

ai-gateway
ai-gateway from Ferro Labs supports over 30 LLMs with integrated caching, guardrails, A/B testing, and cost controls, making it ideal for managing multiple language models in a production environment.
inference
Xinference is a unified production-ready inference API for deploying and running various models, including LLMs, on different environments.

Persona

ai-gateway
-
inference
-

Runtime

ai-gateway
-
inference
-

License

ai-gateway
Apache-2.0 - a permissive free software license
inference
Apache-2.0

Last pushed

ai-gateway
Sep 10, 2026
inference
Sep 18, 2026

Categories

ai-gateway
Inference & Serving, Model Training
inference
Inference & Serving

Trust and health

Days since push

ai-gateway
2d
inference
0d

Open issues (now)

ai-gateway
68
inference
39

Stars delta

ai-gateway
+37 (30d)
inference
+105 (30d)

Open issues delta

ai-gateway
+5 (30d)
inference
-3 (30d)

OSV dependency advisories

ai-gateway
Published findings
inference
No lockfile (source not queried)

Full report

ai-gateway
Trust report
inference
Trust report

Shared compatibility

  • Python · ai-gateway: Python runtime · inference: Python runtime

Choose ai-gateway if…

  • ai-gateway is primarily Go; inference is Python.
  • Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy.
  • Also covers Model Training.
  • When you need to integrate more than 30 different LLM services including OpenAI and Anthropic

When NOT to use ai-gateway

  • If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features
  • For small-scale projects that do not require comprehensive cost analysis tools
  • When custom integration for specific guardrails is required, as ai-gateway offers generalized settings

Choose inference if…

  • inference is primarily Python; ai-gateway is Go.
  • Pricing: The tool is open-source under the Apache-2.0 license, but additional services or support might incur costs..
  • Requirements: Min 4 GB RAM; Requires Docker; Docker and CUDA setup are required for Nvidia GPU users.; For Kubernetes deployment, Helm is required..
  • Tags unique to inference: artificial-intelligence, deployment, diffusers, gemma.
  • When you need a single API to deploy and run a variety of models, including LLMs, on cloud, on-premises, or local machines.

When NOT to use inference

  • If you are looking for a tool that supports only a specific type of model or environment, as Xinference is designed to be versatile across multiple models and deployment environments.
  • When you need a tool that does not require setting up Docker or Kubernetes for deployment, as Xinference provides detailed instructions for these setups but may not be suitable for users preferring a

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: ai-gateway 256 · inference 9.6k (synced Sep 20, 2026).

Common questions

What is the difference between ai-gateway and inference?
ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. inference: Unified production-ready inference API for various LLMs and models. See the comparison table for live GitHub stats and shared categories.
When should I choose ai-gateway over inference?
Choose ai-gateway over inference when ai-gateway is primarily Go; inference is Python; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; Also covers Model Training; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic.
When should I choose inference over ai-gateway?
Choose inference over ai-gateway when inference is primarily Python; ai-gateway is Go; Pricing: The tool is open-source under the Apache-2.0 license, but additional services or support might incur costs.; Requirements: Min 4 GB RAM; Requires Docker; Docker and CUDA setup are required for Nvidia GPU users.; For Kubernetes deployment, Helm is required.; Tags unique to inference: artificial-intelligence, deployment, diffusers, gemma; When you need a single API to deploy and run a variety of models, including LLMs, on cloud, on-premises, or local machines.
When should I avoid ai-gateway?
If your project only involves one or two LLMs which does not necessitate the gateway's broad compatibility features For small-scale projects that do not require comprehensive cost analysis tools When custom integration for specific guardrails is required, as ai-gateway offers generalized settings
When should I avoid inference?
If you are looking for a tool that supports only a specific type of model or environment, as Xinference is designed to be versatile across multiple models and deployment environments. When you need a tool that does not require setting up Docker or Kubernetes for deployment, as Xinference provides detailed instructions for these setups but may not be suitable for users preferring a
Is ai-gateway or inference more popular on GitHub?
inference has more GitHub stars (9,575 vs 256). Stars measure visibility, not whether either tool fits your constraints.
Are ai-gateway and inference open source?
Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, inference: Apache-2.0).
Where can I find alternatives to ai-gateway or inference?
GraphCanon lists graph-backed alternatives at ai-gateway alternatives and inference alternatives (ai-gateway markdown twin, inference markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, ai-gateway or inference?
ai-gateway: Very active. inference: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for ai-gateway and inference?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-gateway trust report; inference trust report.

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