TarqaAI vs Portkey: Which AI Gateway is Right for Your Team?

TarqaAI vs Portkey: Which AI Gateway is Right for Your Team?

Both TarqaAI and Portkey are AI gateways targeting developers and enterprises. Here's how they compare.

Feature Comparison

<!-- | India / DPDP alignment | Yes (founded in India) | No | -->

The Core Difference: Hard vs Soft Budget Control

Portkey provides budget alerts and soft limits. TarqaAI enforces hard dual-gate limits — requests are blocked at the gateway before they reach the provider when either request count or token count is exceeded. For teams where cost overruns are a real risk, the difference between an alert and an actual block is significant.

GPU Tunnels — TarqaAI's Unique Feature

TarqaAI allows teams to expose local GPU-hosted models (Llama 4, DeepSeek-R1, any GGUF/Ollama model) as a first-class API endpoint via a secure WebSocket tunnel. Your team queries local inference through the same standard TarqaAI API. Portkey does not offer this capability.

Built-in RAG

TarqaAI includes a vector knowledge base built into the gateway. Upload your docs, and pass "rag": "workspace" on any request. No separate Pinecone, Qdrant, or Weaviate setup. Portkey routes to external AI providers but does not offer native RAG.

<!-- ## India and DPDP

TarqaAI is founded in India and actively aligning with India's Digital Personal Data Protection (DPDP) Act. For Indian enterprises and BFSI/healthcare companies, this is a meaningful differentiator over foreign-headquartered alternatives. -->

Recommendation

Choose TarqaAI if: You need GPU tunnel support, built-in RAG, hard budget enforcement, <!-- DPDP alignment, --> or are building for an Indian enterprise audience.

Choose Portkey if: You primarily need caching, semantic caching, and observability with a mature product and extensive documentation.

Try TarqaAI free at tarqaai.com