TokenSense vs Portkey
TokenSense is built for automation teams running AI workflows in n8n, Make, and Zapier. Portkey is built for developer teams managing LLM infrastructure in code. If you're a no-code automation agency or ops team, TokenSense fits your workflow. If you're an engineering team building LLM applications, Portkey is likely a better fit.
Feature Comparison
Side by side
| Feature | TokenSense | Portkey |
|---|---|---|
| Built for | Automation teams (n8n, Make, Zapier) | Developer teams (code-based LLM apps) |
| Setup | Change one URL — no code, no SDK | SDK integration in your codebase |
| Per-workflow cost tracking | Automatic — detects workflows by tag | Manual — requires SDK metadata injection |
| Budget enforcement | Hard caps that block requests | Alerts only (no enforcement) |
| n8n / Make / Zapier integration | Native — swap URL in credential settings | HTTP Request node workaround |
| Prompt management | Not included | Built-in prompt templates & versioning |
| Semantic caching | Not included | Built-in semantic cache layer |
| Multi-provider routing | Cost, performance, reliability presets + rule-based policies | Fallback routing, load balancing |
| Providers supported | OpenAI, Anthropic, Gemini, Mistral, xAI, fal.ai | 200+ via LiteLLM integration |
| Free tier | 10,000 requests/month | 10,000 requests/month |
| Paid plans start at | $29/month (Pro) | $49/month (Production) |
| Self-hosted option | Proxy is open-source (MIT) | Open-source gateway available |
Decision Guide
Which is right for you?
Choose TokenSense if you…
- Run AI workflows in n8n, Make, or Zapier
- Need per-workflow and per-project cost attribution
- Want budget caps that actually block spend
- Prefer zero-code setup (change a URL, done)
- Manage multiple clients or projects
Choose Portkey if you…
- Build LLM applications in code (Python, Node, etc.)
- Need prompt management and versioning
- Want semantic caching to reduce latency
- Integrate via SDK in your application code
- Need 200+ provider integrations
FAQ
Common questions
TokenSense is built for automation teams running AI workflows in n8n, Make, and Zapier — it provides per-workflow cost tracking and budget enforcement with no code required. Portkey is built for developer teams managing LLM infrastructure in code, with features like prompt management, semantic caching, and SDK-based integration.
If you're a no-code automation team or agency running workflows in n8n, Make, or Zapier, TokenSense fits your workflow — setup is changing one URL with no SDK needed. If you're an engineering team building LLM applications in code and need prompt management and caching, Portkey is likely a better fit.
No. TokenSense is designed for no-code users. You set it up by changing a base URL in your automation platform's AI credential settings. There's no SDK, no terminal commands, and no package installation required.
If you're currently using Portkey's SDK in code, migrating to TokenSense would mean switching to a URL-based integration instead. For automation platform users who were pointed at Portkey via HTTP Request nodes, switching is straightforward — just update the base URL to your TokenSense endpoint.