Name: LLM Gateway
Rating: 5.0 (1 reviews)

Route, manage, and analyze your LLM requests across multiple providers with a unified API interface. Access OpenAI, Anthropic, Google, and 40+ providers through one API.

LLM Gateway Chat is one playground for 210+ models — GPT, Claude, Gemini, Grok, DeepSeek & more. Switch models mid-conversation, run image/video/audio studios, and compare answers side by side. One balance covers it all. Subscriptions from $9/mo, or pay-as-you-go.

Hey Product Hunt 👋 We built LLM Gateway Chat because we were tired of keeping five AI tabs open — one for GPT, one for Claude, one for image gen, another for video, and a spreadsheet to track what each was costing us. Chat is the single playground we wanted: → 210+ models in one interface — GPT-5.5, Claude Opus 4.7, Gemini 3.1, Grok 4.3, DeepSeek, Llama, Mistral and more. → Switch models mid-conversation — start on one, continue on another, no copy-paste. → Four studios beyond text — Image, Video, Audio, and Canvas (render UI straight from a prompt). → Group mode — fire one prompt at several models and compare the answers side by side. → One balance for everything — top up once, route anywhere, get unified usage + cost analytics. Prefer predictability? Subscriptions start at $9/mo. Pricing, simply: ◆ Starter — $9/mo → $18 of usage (2×) ◆ Plus — $19/mo → $47.50 of usage (2.5×) ◆ Pro — $49/mo → $147 of usage (3×) ◆ Or skip the plan entirely and pay-as-you-go with credits. We'd love your feedback — especially on which models and studios you reach for most. We're around all day 🙌

Congrats on the launch! The unified API interface is exactly what many teams need. How does caching affect latency when switching between providers?

Thanks! caching will only trigger for the same provider, model, and payload. for any given request, we still consider and make use of upstream token caching of course.

Congrats on the launch! The unified API interface is exactly what many teams need. How does caching affect latency when switching between providers?

Thanks! caching will only trigger for the same provider, model, and payload. for any given request, we still consider and make use of upstream token caching of course.

LLM Gateway

One API to access all models

One API to access all models

LLM Gateway Chat

Previous LLM Gateway Launches

Previous LLM Gateway Launches