Alternatives
Products that do what Context Budget Planner does
Calculate LLM tokens & costs before you send
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- 2TP
Hey HN! Tokencost is a utility library for estimating LLM costs. There are hundreds of different models now, and they all have their own pricing schemes. It’s difficult to keep up with the pricing changes, and it’s even more difficult to estimate how much your prompts and completions will cost until you see the bill. Tokencost works by counting the number of tokens in prompt and completion messages and multiplying that number by the corresponding model cost. Under the hood, it’s really just a simple cost dictionary and some utility functions for getting the prices right. It also accounts for…
2024 · github.com
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- 7GC
2023 · gptcalculator.xyz
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Live pricing for 309+ AI models (GPT, Claude, Gemini, Llama, DeepSeek) plus real-world cost calculators: chatbots, API budgets, and token math. Updated 2026-09-06.
Aug 2026 · costperprompt.com
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I wanted to share a project I’ve been working on called Frugal Tokens. I originally built it because I was curious to see how much all of my sessions cost and how much cache misses affected that spend. I’d noticed people had widely different spend profiles and wanted to better understand what might contribute to that. As I’ve worked on this, the tool has grown to show more usage patterns across all of your sessions. It shows overall usage, estimated working time and overlapping sessions, and where your spend is coming from across models and cache misses. I also have a few session level…
18d ago · demo.frugaltokens.com
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Every number behind your AI prompt. Free, no signup.
Apr 2026 · ai-token-counter-wheat.vercel.app
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I built this after hitting the same wall repeatedly — no good way to enforce token budgets in application code. Provider caps are account-level and tell you what happened, not what is happening. Two ways to add it: # Direct client wrapper client = tokencap.wrap(anthropic.Anthropic(), limit=50_000) # LangChain, CrewAI, AutoGen, etc. tokencap.patch(limit=50_000) Four actions at configurable thresholds: WARN, DEGRADE (transparent model swap), BLOCK, and WEBHOOK. SQLite out of the box, Redis for multi-agent setups. One design decision worth mentioning: tokencap tracks tokens, not dollars. Token…
Apr 2026 · github.com
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AI cost calculator — compare GPT-5, Claude & Gemini pricing
Aug 2026 · llmeconomics.app
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Hi HN, I was once given the advice: Don't waste expensive frontier model credits (GPT/Claude/etc.) on bulk work. Send the boring, repetitive, high-volume jobs to a smaller model, and save the expensive prompts for when you actually need frontier-level reasoning. I complained and told my manager that I shouldnt have to think about using certain models for certain coding tasks, and that one model should handle everything. Well, here we are anyway. If anyone needs a place to absolutely abuse an LLM with high-volume tasks, come beat ours up at https://yolo-auto.com. Here are…
Jul 2026 · yolo-auto.com
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See how much Claude you have left before you hit the wall
May 2026
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See which feature or agent loop is burning your LLM budget
Jun 2026 · tokencurb.vercel.app
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10M-token BYOK memory. Cut your LLM API costs by 90%.
Feb 2026 · icm-intelligence-layer.vercel.app
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Token-exact pricing across GPT, Claude & Gemini. Just math
Mar 2026 · decodesfuture.com
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