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Tokensave.app VS cppq

Compare Tokensave.app VS cppq and see what are their differences

Tokensave.app

Free AI token counter and cost calculators: tokens and API cost for GPT, Claude and Gemini, subscription vs API, coding agents. Private, no sign-up.

No screenshot yet
Rating
0 reviews
Pricing
Free
Alternatives Is it good?
cppq

Simple, reliable & efficient distributed task queue for C++

Rating
0 reviews
Alternatives Is it good?
Eddyter
Build and integrate a WYSIWYG editor in minutes. Eddyter offers fast setup, developer-friendly APIs, and seamless content editing for modern web apps today. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, Tokensave.app seems to be more popular. It has been mentioned 3 times since March 2021.

social mentions
3 vs 0
AI popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

Tokensave.app
cppq
Website tokensave.app github.com
Pricing
Free Official pricing
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Platforms
Web
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Company 2026 —
Listed in
Developer Tools AI Cost Management Online Calculators AI +1
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About Tokensave.app and cppq

In their own words, as submitted to SaaSHub.

Tokensave.app
cppq

TokenSave (tokensave.app) is a free set of calculators that show what AI really costs. Everything runs in your browser: the text you paste is never uploaded, and there is no sign-up. What you can do Token counter: paste text and see tokens, characters and API cost for GPT, Claude and Gemini...

Read more about Tokensave.app

No description of cppq yet.

Features and specs

What each product offers, as listed by its team.

Tokensave.app 5 features
cppq 5 features
  • Token Counter
    Tokens, characters and API cost for GPT, Claude and Gemini, side by side
  • Subscription vs API
    Is ChatGPT Plus, Claude Pro or Google AI Pro cheaper than paying per token?
  • Coding Agent Cost
    Monthly cost of Claude Code, Codex and Gemini CLI: API vs Pro/Max plans
  • AI Video & Image Cost
    Price per second (Veo, Kling, Runway) and per image (Nano Banana, GPT Image, FLUX)
  • Private & No Sign-up
    Runs in your browser; text is never uploaded. 41 languages
  • Lightweight C++ implementation
    cppq is written in modern C++ and designed to be a minimal, efficient task queue library, making it a good fit for performance-sensitive applications where the overhead of scripting language runtimes is undesirable.
  • Redis-backed reliability
    Built on top of Redis as the message broker, cppq benefits from Redis's persistence, atomic operations, and wide adoption, giving the queue system durability and the ability to survive process restarts.
  • Inspired by proven design (asynq)
    The library's architecture mirrors the popular Go asynq task queue, so it inherits a well-thought-out API design for task enqueueing, retries, and worker processing patterns that have already been validated in production systems.
  • Native integration for C++ projects
    For teams already working in a C++ codebase, cppq allows adding background job processing without needing to introduce a separate service written in another language (like Go or Python), simplifying the technology stack.
  • Open source and inspectable
    Being open source on GitHub, developers can review the source code, modify it for custom needs, and contribute improvements, which offers transparency not available with closed-source queueing solutions.

Possible disadvantages

  • Limited maturity and battle-testing
    Compared to established task queue libraries like Sidekiq, Celery, or asynq itself, cppq is a newer and smaller project with less real-world production usage, which may translate into undiscovered bugs or edge cases.
  • Smaller community and ecosystem
    Because it has far fewer users and contributors than mainstream task queue systems, finding community support, third-party tutorials, or pre-built integrations is more difficult.
  • Documentation gaps
    As a smaller project, cppq may have less comprehensive documentation compared to major task queue frameworks, requiring developers to read source code directly to understand advanced features or edge-case behaviors.
  • C++ build and dependency complexity
    Using cppq requires managing C++ build toolchains and dependencies (such as a Redis client library), which can be more cumbersome than installing a package via pip or npm in other ecosystems.
  • Fewer built-in features and tooling
    cppq likely lacks the extensive ecosystem tooling of more mature queues, such as web-based monitoring dashboards, extensive metrics/observability integrations, or advanced scheduling features found in more established solutions.

Analysis

An editorial look at what each product does well and who it suits.

Tokensave.app
cppq

No analysis of Tokensave.app yet.

Overall verdict

  • cppq is a lightweight, Redis-backed distributed task queue for C++ inspired by Go's popular 'asynq' library. It's a good choice for developers who need a simple, dependency-light job queue system in C++ without the overhead of larger enterprise messaging systems, though it's a smaller, less battle-tested project compared to mature alternatives.

Why this product is good

  • Simple and lightweight design makes it easy to understand and integrate into existing C++ projects
  • Built on Redis, a well-established and reliable backend for queue storage, giving it a solid foundation
  • Inspired by asynq (a proven Go library), so the design patterns and task queue semantics are based on a well-thought-out model
  • Open source on GitHub, allowing developers to inspect, modify, and contribute to the code
  • Good fit for projects already using Redis, minimizing the need for additional infrastructure
  • Straightforward API for enqueueing and processing background jobs in C++ applications

Recommended for

  • C++ developers needing a background job/task queue without adopting a heavyweight message broker
  • Projects already using Redis as part of their infrastructure
  • Small to medium-sized applications requiring asynchronous task processing
  • Teams comfortable working with less mainstream or smaller open-source libraries and willing to contribute or debug issues themselves
  • Developers familiar with asynq (Go) looking for a similar pattern in C++
  • Prototyping or hobby projects where a minimal task queue solution is sufficient

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Tokensave.app
cppq
100% 100%
AI
0% 0%
100% 100%
Developer Tools
0% 0%
100% 100%
Online Calculators
0% 0%
100% 100%
AI Cost Management
0% 0%

Questions & Answers

As answered by people managing Tokensave.app and cppq.

How would you describe the primary audience of your product?

Tokensave.app's answer

Developers and teams building on LLM APIs who want to estimate costs, people deciding between ChatGPT Plus, Claude Pro or Google AI Pro and the API, developers using coding agents like Claude Code and Codex, and non-English users who want to know how much extra their language costs.

What makes your product unique?

Tokensave.app's answer

It puts every AI cost question in one free place: tokens and API cost for GPT, Claude and Gemini side by side, whether a subscription or the API is cheaper for you, what coding agents like Claude Code and Codex cost per month, and the price of AI video and images. It also shows how much more non-English text costs (Korean needs about 44% more tokens than English on GPT, Japanese about 79% more) and can translate a prompt to English on your device to save tokens. It runs in 41 languages, and nothing you paste leaves your browser.

Why should a person choose your product over its competitors?

Tokensave.app's answer

Most token counters cover one model family and stop at the token count. AI Token Counter compares GPT, Claude and Gemini at once, turns tokens into money with prices updated daily, and goes further: subscription vs API, coding agent costs, and video and image prices. It is completely free, needs no account, and your text is never uploaded.

What's the story behind your product?

Tokensave.app's answer

I'm a solo developer who builds mobile games with AI, without a coding background. While working with Claude and other models, I kept wondering what each prompt really cost and whether my subscription was worth it. When I measured the same prompt in 41 languages, I found that non-English text often needs far more tokens than English. So I built a free tool to make those costs visible, and it grew into a set of calculators.

Which are the primary technologies used for building your product?

Tokensave.app's answer

A static site built with Python and plain JavaScript, styled with Tailwind CSS and hosted on GitHub Pages. Tokens are counted in the browser with tiktoken-compatible tokenizers, and prompt translation uses the browser's built-in Translator API, so no text is sent to a server. API prices are refreshed daily by a GitHub Actions workflow.

User comments

Share your experience with using Tokensave.app and cppq. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Tokensave.app 3 mentions
cppq 0 mentions
  • Browser MCP token cost: 68 runs of Playwright MCP vs Chrome DevTools MCP, and a proxy that cuts snapshots by up to 96%
    Count the tokens in your own prompt: https://tokensave.app/. - Source: dev.to / 2 days ago
  • Gemini 4 Argon has a new tokenizer: Korean and Japanese got 8% cheaper, Indian languages up to 19% dearer
    All 41 languages, chart and CSV (CC BY 4.0): https://tokensave.app/data/language-tax-index Count your own text: https://tokensave.app. - Source: dev.to / 3 days ago
  • Sending text as images cut my Claude tokens by up to 81%. It also started inventing numbers.
    Because the saving is large for long non-English text, I added an experimental Text → image button to the free token counter at https://tokensave.app. It renders your text into PNG pages in the browser (nothing is uploaded), estimates... - Source: dev.to / 3 days ago

Tracking cppq since Nov 2022.

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