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Tokenwise

SaaS

LLM proxy and observability tool that tracks cost, latency and errors for every model call and suggests one-click fixes such as caching, prompt trimming and model swaps.

tokenwisehq.com
Tokenwise homepage screenshot

About Tokenwise

Tokenwise sits between your application and your LLM provider as a drop-in proxy that you adopt by changing one line, with no SDK rewrite. Every call is logged with its cost, token count, latency, errors and quality, and can be sliced by model, app or tag. It is observe-only by default, so nothing in production changes until you switch optimizations on, and provider keys are not stored.

The product looks for waste: oversized system prompts sent on every call, cache misses and prefix invalidations, and expensive models doing work a cheaper one can handle. It then proposes fixes such as semantic caching, prompt trims and model swaps. Each suggestion is tested by replaying your traffic against a quality threshold you set before it reaches you, and you either apply or ignore it, so nothing changes silently.

The dashboard includes a spend forecast, comparison and optimization views, tags, and alerts, and the site claims typical savings of 20 to 30 percent with under 50ms of added overhead. It is a hosted commercial service with a 7-day trial that needs no card.

Key features

  • Drop-in LLM proxy with one-line setup
  • Per-call cost, token, latency and error tracking
  • Spend sliced by model, app or tag
  • Detects oversized prompts and cache misses
  • One-click model swaps, caching and prompt trims
  • Replay checks against your quality bar
  • Alerts and spend forecast

Good fit for

  • Finding where an LLM bill is leaking
  • Swapping to cheaper models without losing quality
  • Watching agent and app spend in production
Tags
llm
observability
cost-optimization
proxy
caching
ai-infrastructure
monitoring

Tokenwise: questions and answers

What is Tokenwise used for?
Tokenwise is an LLM proxy and observability tool that tracks cost, latency and errors for every model call and suggests one-click fixes such as caching, prompt trimming and model swaps. It is a good fit for finding where an LLM bill is leaking, swapping to cheaper models without losing quality, and watching agent and app spend in production.
Is Tokenwise open source?
No. Tokenwise is proprietary (closed-source) software and can't be self-hosted. In the AI Infrastructure category, open-source options include Pezzo, Dify and LiteLLM.
What are some alternatives to Tokenwise?
Tokenwise competes with Portkey, OpenRouter and LangSmith.

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