Comparison
ai-gateway vs bifrost
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 bifrost if bifrost is an ultra-fast AI gateway with adaptive load balancing and support for over 1000 models, suitable for enterprises requiring low latency and high model.
Markdown twin · ai-gateway alternatives · bifrost alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | ai-gateway | bifrost |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 1mo · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 1mo · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · 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
- bifrost
- Fast Enterprise AI Gateway with Adaptive Load Balancer and Guardrails
Stars
- ai-gateway
- 219
- bifrost
- 6.6k
Forks
- ai-gateway
- 33
- bifrost
- 914
Open issues
- ai-gateway
- 63
- bifrost
- 642
Language
- ai-gateway
- Go
- bifrost
- Go
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.
- bifrost
- Bifrost is an ultra-fast AI gateway with adaptive load balancing and support for over 1000 models, suitable for enterprises requiring low latency and high model diversity in their API serving needs.
Persona
- ai-gateway
- -
- bifrost
- -
Runtime
- ai-gateway
- -
- bifrost
- -
License
- ai-gateway
- Apache-2.0 - a permissive free software license
- bifrost
- Apache-2.0
Last pushed
- ai-gateway
- Aug 7, 2026
- bifrost
- Jul 20, 2026
Categories
- ai-gateway
- Inference & Serving, Model Training
- bifrost
- Inference & Serving
Trust and health
Days since push
- ai-gateway
- 2d
- bifrost
- 0d
Open issues (now)
- ai-gateway
- 63
- bifrost
- 642
OSV dependency advisories
- ai-gateway
- Published findings
- bifrost
- No lockfile (source not queried)
Full report
- ai-gateway
- Trust report
- bifrost
- Trust report
Choose ai-gateway if…
- Tags unique to ai-gateway: litellm, llm-proxy, openai-compatible.
- 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 bifrost if…
- Tags unique to bifrost: gateway-services, generative-ai, guardrails, load-balancing.
- Use when you require a highly scalable solution that can manage more than 1000 different models with minimal overhead.
- More GitHub stars (6.6k vs 219) - visibility, not fit.
When NOT to use bifrost
- Avoid Bifrost if you are working within a restrictive environment where Go is not the preferred language or Apache-2.0 licensing terms cannot be accepted.
- Do not use if you prioritize tools that offer more customization options beyond its unified open-source compatible API and default configurations.
- Consider alternatives when your requirements surpass existing load handling capabilities or you need features not covered by Bifrost's focus on speed and diversity.
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 Aug 9, 2026
- GitHub forks (ferro-labs/ai-gateway) · observed Aug 9, 2026
- Last push (ferro-labs/ai-gateway) · observed Aug 7, 2026
- License file (Apache-2.0) · observed Aug 9, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (maximhq/bifrost) · observed Jul 21, 2026
- GitHub forks (maximhq/bifrost) · observed Jul 21, 2026
- Last push (maximhq/bifrost) · observed Jul 20, 2026
- License file (Apache-2.0) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 12, 2026
GitHub stars on cards: ai-gateway 219 · bifrost 6.6k (synced Aug 9, 2026).
Common questions
- What is the difference between ai-gateway and bifrost?
- ai-gateway: Unified AI Gateway for multiple LLMs with caching, guardrails, A/B testing, and cost controls. bifrost: Fast Enterprise AI Gateway with Adaptive Load Balancer and Guardrails. See the comparison table for live GitHub stats and shared categories.
- When should I choose ai-gateway over bifrost?
- Choose ai-gateway over bifrost when Tags unique to ai-gateway: litellm, llm-proxy, openai-compatible; Also covers Model Training; When you need to integrate more than 30 different LLM services including OpenAI and Anthropic.
- When should I choose bifrost over ai-gateway?
- Choose bifrost over ai-gateway when Tags unique to bifrost: gateway-services, generative-ai, guardrails, load-balancing; Use when you require a highly scalable solution that can manage more than 1000 different models with minimal overhead; More GitHub stars (6.6k vs 219) - visibility, not fit.
- 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 bifrost?
- Avoid Bifrost if you are working within a restrictive environment where Go is not the preferred language or Apache-2.0 licensing terms cannot be accepted. Do not use if you prioritize tools that offer more customization options beyond its unified open-source compatible API and default configurations. Consider alternatives when your requirements surpass existing load handling capabilities or you need features not covered by Bifrost's focus on speed and diversity.
- Is ai-gateway or bifrost more popular on GitHub?
- bifrost has more GitHub stars (6,637 vs 219). Stars measure visibility, not whether either tool fits your constraints.
- Are ai-gateway and bifrost open source?
- Yes - both are open-source projects on GitHub (ai-gateway: Apache-2.0, bifrost: Apache-2.0).
- Where can I find alternatives to ai-gateway or bifrost?
- GraphCanon lists graph-backed alternatives at ai-gateway alternatives and bifrost alternatives (ai-gateway markdown twin, bifrost 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 bifrost?
- ai-gateway: Very active. bifrost: 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 bifrost?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: ai-gateway trust report; bifrost trust report.