
Tiktokenizer.com
LLMtrack
Langfuse
AICostNest
LangChain
LLM Cost Calculator
Helicone AI
Count LLM tokens and estimate API cost from text, PDF, DOCX, code, data files, and images with privacy-first browser-based processing.

ChatGPT
Claude AI
Perplexity.ai
OpenAI
Claude by Anthropic
Poe
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Gemini, formerly known as Bard, is a generative artificial intelligence chatbot developed by Google. Based on the large language model (LLM) of the same name, it was launched in 2023 in response to the rise of OpenAI's ChatGPT.

Which is more popular?
Based on our record, Gemini seems to be more popular. It has been mentioned 194 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | tokencalculator.dev | gemini.google.com |
| Pricing | — | |
| Platforms | — | |
| Company | Startup from India · 1 - 9 employees · 2026 | Startup from the United States |
| Listed in |
In their own words, as submitted to SaaSHub.


TokenCalculator.dev is a privacy-first, 100% browser-based LLM token counter and API cost estimator designed for AI engineers, developers, and product teams. Unlike conventional text-only calculators that require uploading sensitive prompts to third-party servers, TokenCalculator.dev processes...
No description of Gemini yet.
What each product offers, as listed by its team.


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


No analysis of TokenCalculator.dev yet.
Overall verdict
Why this product is good
Recommended for
Gemini is highly recommended for businesses, educators, and individual users who want to enhance their productivity with a reliable, intuitive system. It’s especially beneficial for users who are already using other Google products, as it offers seamless integration and a familiar interface.
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Google Gemini on Android: Full Review & Features
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing TokenCalculator.dev and Gemini.
TokenCalculator.dev's answer
TokenCalculator.dev is a 100% browser-based, privacy-first token counter and API cost estimator that handles multimodal payloads without sending data to a server. Unlike conventional text-only counters, it processes pasted text, local documents (PDF, DOCX, and code in 20+ languages up to 12 MB), and image files (PNG, JPEG, WebP, GIF) entirely on the client side across OpenAI, Claude, Gemini, and DeepSeek.
TokenCalculator.dev's answer
Most token counters either require pasting text into third-party cloud servers or only support basic text inputs for a single provider. TokenCalculator.dev guarantees zero prompt or document retention, supports direct document parsing (PDF/Word/code) and visual tile/patch token calculations, and lets you compare live input costs and context-window fits across four major frontier providers simultaneously.
TokenCalculator.dev's answer
AI engineers, software developers, technical product managers, and researchers who build LLM-powered applications, design RAG pipelines, or manage API token budgets and context window limits.
TokenCalculator.dev's answer
Developers frequently face unexpected API costs, context overflow errors, and privacy concerns when testing prompts and document payloads with online token tools. TokenCalculator.dev was created to provide a fast, transparent, and completely offline-capable developer utility that reliably measures realistic production payloads—including codebases, documents, and images—without compromising sensitive data.
TokenCalculator.dev's answer
Built with modern web technologies using TypeScript and WebAssembly/JavaScript for client-side BPE tokenization (o200k_base), browser-native text extraction parsers for PDF and DOCX, client-side Canvas APIs for image dimension inspection, and integrated model pricing metadata.
TokenCalculator.dev's answer
Independent AI Engineers & Full-Stack Developers RAG & Agentic Workflow Builders Open-Source Software Contributors Tech Startups budgeting multi-model API deployments
Share your experience with using TokenCalculator.dev and Gemini. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


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In 2025 there was an unbelievable rise of general-purpose image editing models of all kinds, mostly based on or exploiting multimodal LLMs and diffusion models. The exponential growth in quality started with FLUX.1...
Gemini caught my eye 8 months ago. I slowly transitioned from Google assistant to its sophisticated successor, Gemini, with its excellent research capabilities.
Gemini is made by Google and is great for getting new information fast. It is good for research, planning, and handling documents. If you use Google’s tools, Gemini works well with them. It is strong at understanding...
Recommendations tracked on public social media and blogs since March 2021.


Tracking TokenCalculator.dev since Sep 2026.
> First thing there that got me was that all of my Google searches. Why? I googled "snoop dog real name". Why is this considered a gemini chat now? It isn't - it's probably an _assistant_ query? In fact the Gemini and Search orgs are... - Source: Hacker News / 16 days ago
My Gemini app (updated today) and https://gemini.google.com/ has _3.6_ as the latest selectable model, as a paying Pro user in the US. How is that even possible? Gemini 3.7 was released in August, 3.8 early September. What is going on... - Source: Hacker News / about 1 month ago
They are not selling a hosted model, and there is no separate cloud needed. Any AI agent that can read files and run shell commands can be the co-animator: Claude Code, Codex, Gemini, OpenClaw, Antigravity, or a custom agent. Connecting... - Source: dev.to / 2 months ago
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