Comparison
ai-gateway vs TurboLLM
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 TurboLLM if turboLLM offers local LLM execution optimized for GPU performance with a polished web UI and APIs compatible with OpenAI/Anthropic.
Markdown twin · ai-gateway alternatives · TurboLLM alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | ai-gateway | TurboLLM |
|---|---|---|
| Maintenance | Very active (2d since push) As of Sep 12, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 12, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 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
- TurboLLM
- Run any local LLM engine auto-tuned to your GPU with polished web UI and OpenAI/Anthropic-compatible API
Stars
- ai-gateway
- 256
- TurboLLM
- 274
Forks
- ai-gateway
- 35
- TurboLLM
- 38
Open issues
- ai-gateway
- 68
- TurboLLM
- 7
Language
- ai-gateway
- Go
- TurboLLM
- TypeScript
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.
- TurboLLM
- TurboLLM offers local LLM execution optimized for GPU performance with a polished web UI and APIs compatible with OpenAI/Anthropic.
Persona
- ai-gateway
- -
- TurboLLM
- -
Runtime
- ai-gateway
- -
- TurboLLM
- -
License
- ai-gateway
- Apache-2.0 - a permissive free software license
- TurboLLM
- -
Last pushed
- ai-gateway
- Sep 10, 2026
- TurboLLM
- Sep 19, 2026
Categories
- ai-gateway
- Inference & Serving, Model Training
- TurboLLM
- Inference & Serving, Model Training
Trust and health
Days since push
- ai-gateway
- 2d
- TurboLLM
- 0d
Open issues (now)
- ai-gateway
- 68
- TurboLLM
- 7
Stars delta
- ai-gateway
- +37 (30d)
- TurboLLM
- +49 (30d)
Open issues delta
- ai-gateway
- +5 (30d)
- TurboLLM
- +1 (30d)
Owner type
- ai-gateway
- Organization
- TurboLLM
- User
OSV dependency advisories
- ai-gateway
- Published findings
- TurboLLM
- No lockfile (source not queried)
Full report
- ai-gateway
- Trust report
- TurboLLM
- Trust report
Shared compatibility
- Node.js · ai-gateway: Node.js runtime · TurboLLM: Node.js runtime
Choose ai-gateway if…
- ai-gateway is primarily Go; TurboLLM is TypeScript.
- Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy.
- 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 TurboLLM if…
- TurboLLM is primarily TypeScript; ai-gateway is Go.
- Tags unique to TurboLLM: ai, anthropic-api, claude-code, gpu.
- When you want to self-host an LLM service without external dependencies on Electron or Python.
When NOT to use TurboLLM
- If your setup does not include a GPU as TurboLLM primarily optimizes performance specifically for that hardware.
- When you require heavy model training capabilities on the same platform; TurboLLM focuses more on running and inference tasks with LLMs.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ferro-labs/ai-gateway) · observed Sep 12, 2026
- GitHub forks (ferro-labs/ai-gateway) · observed Sep 12, 2026
- Last push (ferro-labs/ai-gateway) · observed Sep 10, 2026
- License file (Apache-2.0) · observed Sep 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (mohitsoni48/TurboLLM) · observed Sep 20, 2026
- GitHub forks (mohitsoni48/TurboLLM) · observed Sep 20, 2026
- Last push (mohitsoni48/TurboLLM) · observed Sep 19, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: ai-gateway 256 · TurboLLM 274 (synced Sep 12, 2026).
Common questions
- What is the difference between ai-gateway and TurboLLM?
- ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. TurboLLM: Run any local LLM engine auto-tuned to your GPU with polished web UI and OpenAI/Anthropic-compatible API. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-gateway over TurboLLM?
- Choose ai-gateway over TurboLLM when ai-gateway is primarily Go; TurboLLM is TypeScript; Tags unique to ai-gateway: ai-gateway, litellm, llm-cost, llm-proxy; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic.
- When should I choose TurboLLM over ai-gateway?
- Choose TurboLLM over ai-gateway when TurboLLM is primarily TypeScript; ai-gateway is Go; Tags unique to TurboLLM: ai, anthropic-api, claude-code, gpu; When you want to self-host an LLM service without external dependencies on Electron or Python.
- 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 TurboLLM?
- If your setup does not include a GPU as TurboLLM primarily optimizes performance specifically for that hardware. When you require heavy model training capabilities on the same platform; TurboLLM focuses more on running and inference tasks with LLMs.
- Is ai-gateway or TurboLLM more popular on GitHub?
- TurboLLM has more GitHub stars (274 vs 256). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-gateway and TurboLLM open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to ai-gateway or TurboLLM?
- GraphCanon lists graph-backed alternatives at ai-gateway alternatives and TurboLLM alternatives (ai-gateway markdown twin, TurboLLM 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 TurboLLM?
- ai-gateway: Very active. TurboLLM: 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 TurboLLM?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-gateway trust report; TurboLLM trust report.