Toolkit

Interactive tools to test TokenOps optimization strategies. Try prompt compression and model cost comparison live.

Prompt Compressor

Paste a system prompt or query to see how compression reduces token count without losing meaning.

~74 tokens (295 chars)

Click "Compress" to see the optimized version of your prompt.

Model Cost Comparator

Compare monthly costs across all major models for your workload parameters.

ModelInput rateOutput rateCost/requestMonthly costvs. cheapest
🏆 GPT-5 Nano$0.05/1M$0.4/1M$0.000300$9001.0x
Gemini 2.0 Flash Lite$0.075/1M$0.3/1M$0.000300$9001.0x
Llama 4 Scout$0.15/1M$0.4/1M$0.000500$1,5001.7x
Gemini 2.5 Flash$0.15/1M$0.6/1M$0.000600$1,8002.0x
DeepSeek V3.2$0.28/1M$0.42/1M$0.000770$2,3102.6x
Llama 4 Maverick$0.35/1M$1.4/1M$0.001400$4,2004.7x
Mistral Medium$0.4/1M$1.2/1M$0.001400$4,2004.7x
GPT-5 Mini$0.25/1M$2/1M$0.001500$4,5005.0x
Claude Haiku 4.5$1/1M$5/1M$0.004500$13,50015.0x
Mistral Large$2/1M$6/1M$0.007000$21,00023.3x
GPT-5$1.25/1M$10/1M$0.007500$22,50025.0x
o3$2/1M$8/1M$0.008000$24,00026.7x
Claude Sonnet 5$2/1M$10/1M$0.009000$27,00030.0x
Gemini 3 Pro$2/1M$12/1M$0.010000$30,00033.3x
Claude Opus 4.5$5/1M$25/1M$0.022500$67,50075.0x
Routing from Claude Opus 4.5 to GPT-5 Nano would save $66,600/month (99% reduction) at 100,000 daily requests.

Reference Implementation

Download starter source files for building your own TokenOps infrastructure.

Database Schema

PostgreSQL tables for usage logging, teams, and budgets.

Budget Guardrails

YAML config for token budget enforcement with alerts.

Tagging Schema

LLM gateway configuration with metadata tagging.