LLM Gateway vs Taranify

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

	LLM Gateway Agents	Taranify Agents
Tagline	One API, 200+ models, transparent pricing, and no vendor lock-in.	Mood-based entertainment recommender that picks your movies, music, and books from a 30-second color quiz.
Category	Agents	Agents
Pricing	Freemium· Bring Your Own Keys: Free / Credits: 5% flat fee on top of provider rates / Self-hosted: Free (AGPLv3) / Enterprise: custom	Free· 100% free, unlimited recommendations
Model	Routes to GPT-4o, Claude 3.5 Sonnet, Gemini 1.5, Llama 3.1, Mistral, and 200+ others	Custom neural network (color-psychology)
Editorial score	—	6.8 / 10
Use cases	Multi-provider LLM routingAutomatic failover between model vendorsPer-model cost and token analyticsA/B testing prompts across GPT and ClaudePrompt-injection and PII guardrailsSelf-hosted AI gateway for regulated dataUnified API key managementVendor-agnostic AI agent backends	movie-recommendationsmusic-discoverybook-recommendationsmood-matchinggroup-picks
Pros	Single OpenAI-compatible endpoint fronts 40+ providers and 200+ models with a one-line base-URL change Automatic failover between providers keeps AI features up when a single vendor has an outage Real-time cost analytics broken down by model, provider, and route surface spend leaks early Bring-your-own-keys tier means you can adopt the routing and analytics without adding a middleman on billing AGPLv3 self-host option removes vendor lock-in and satisfies teams that need data to stay on their own infra Built-in guardrails (prompt-injection detection, PII filtering) applied uniformly across every provider Only 5% flat markup on the managed credit tier is transparent compared to opaque enterprise gateway pricing	Genuinely free with no login or tracking required Novel color-quiz UX that takes about 30 seconds Group mode reconciles multiple people's moods at once Covers movies, TV, music, books, and food in one place
Cons	Adds a network hop and dependency between your app and the LLM provider, which matters for tight latency budgets AGPLv3 self-host license is copyleft and can be a non-starter for closed-source SaaS teams unwilling to comply Managed credit tier means one more vendor holding a payment relationship and access to your prompt traffic Feature parity with each upstream provider's newest, most exotic parameters can lag behind the native SDKs Deep observability and prompt-engineering tooling is thinner than dedicated LLMOps platforms like Langfuse or Helicone	Consumer-only: no API, no developer hooks "Custom neural network" claims are not independently verifiable Recommendation quality hinges on a fuzzy color-to-mood mapping Limited to TMDB/Spotify/Netflix catalogs
Website	llmgateway.io	taranify.com

Pick LLM Gateway if

✅ Single OpenAI-compatible endpoint fronts 40+ providers and 200+ models with a one-line base-URL change
✅ Automatic failover between providers keeps AI features up when a single vendor has an outage
✅ Real-time cost analytics broken down by model, provider, and route surface spend leaks early
✅ Bring-your-own-keys tier means you can adopt the routing and analytics without adding a middleman on billing

Pick Taranify if

✅ Genuinely free with no login or tracking required
✅ Novel color-quiz UX that takes about 30 seconds
✅ Group mode reconciles multiple people's moods at once
✅ Covers movies, TV, music, books, and food in one place

Compare a different pair →