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Guides & tutorials

  • Top 10 Free AI Productivity Tools You Can Run Entirely in Your Browser (2026)

    You don't need an API key, a subscription, or a server to supercharge your AI workflow. These 10 browser-based tools handle token counting, prompt engineering, large dataset conversion, and model comparison — all locally, all free.

More AI tools

See all AI tools →
  • AI Token Counter

    Count tokens for GPT-4, Claude, Gemini and more. Paste any text or entire documents to see exact token usage before sending to an AI model.

  • AI Prompt Builder

    Build structured, high-quality prompts for ChatGPT, Claude, and Gemini. Define role, context, task, format, and constraints in a guided form.

  • JSON to AI Prompt

    Convert large JSON datasets into clean, token-efficient AI prompts. Perfect for feeding structured data to ChatGPT, Claude, or Gemini without wasting context.

  • CSV to AI Prompt

    Transform CSV files and large tabular datasets into AI-ready prompts. Control which columns to include, row limits, and output format to stay within token budgets.

  • System Prompt Generator

    Generate professional system prompts for AI assistants, chatbots, and agents. Choose persona, tone, domain, and constraints to produce a production-ready system prompt instantly.

  • Context Window Calculator

    Calculate whether your text fits within any AI model's context window. Compare token usage across GPT-4o, Claude 3.5, Gemini 1.5 Pro, Llama 3, and more.

Quick Tip: Coding

Base64 isn't encryption, but it's great for safely sending binary data (like images) as text. Use it to embed small icons directly in your CSS!

  1. Home
  2. Tools
  3. AI Model Comparator

About this Tool

GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, Llama 3, Mistral — the AI landscape changes fast and choosing the right model for a task isn't obvious. The AI Model Comparator gives you a clean, side-by-side breakdown of context window size, input/output pricing, key strengths, response speed, and ideal use cases for every major LLM. Whether you're deciding which model to build on, comparing costs for a high-volume API use case, or just trying to understand the differences, this reference is updated regularly and free to use.

The comparator pulls structured data covering context window limits, published API pricing (input and output token rates), known strengths, and recommended use cases for each model. Data is sourced from official provider documentation and updated periodically.

  1. Browse the model comparison table for an overview of all models.
  2. Filter by provider (OpenAI, Anthropic, Google, Meta, Mistral) or use case.
  3. Compare specific models side-by-side for the attributes that matter to you.
  4. Use the pricing columns to calculate estimated costs for your expected token volume.
  • Deciding whether to use GPT-4o or Claude 3.5 Sonnet for a document analysis pipeline based on context window and cost.
  • Finding the cheapest model that meets a minimum context window requirement for a batch processing job.
  • Comparing Gemini 1.5 Flash vs GPT-4o mini for a high-volume summarization use case.
  • Evaluating open-weight models (Llama 3) against closed API models for a self-hosted deployment.
  • Side-by-side comparison of 10+ major models.
  • Context window, pricing, speed, and strengths in one view.
  • Filter by provider or capability.
  • Regularly updated with current model data.
  • No login, no paywalls — always free.

LLM selection involves trade-offs between context window (how much input the model handles), quality (benchmark scores and real-world output quality), speed (tokens per second), cost (per-token API pricing), and availability (open-weight vs. API-only). No single model wins on all dimensions — the right choice depends on task type, volume, latency requirements, and budget.

How often is the model data updated?

The comparator data is updated periodically as providers release new models or change pricing. For the most current pricing, always verify on the provider's official pricing page before committing to production usage.

Are the benchmark scores included?

The comparator focuses on practical specs (pricing, context window, use cases) rather than academic benchmarks, which can be misleading for real-world tasks.

All calculations and data processing for this tool are performed locally in your browser. UtilToolkits does not send any of your data to an external server, ensuring your information remains private and secure.

Credits:Next.js•React•Tailwind CSS•Lucide Icons

AI Model Comparator

Compare GPT-4o, Claude, Gemini, Llama, and Mistral side-by-side. Context window, pricing, strengths, and best use cases — updated 2026.

Output/1MSpeedBest forCompare
Gemini 1.5 Pro
1M token contextMultimodal
Google1M$1.25$5.00FastMassive documents, video analysis, multi-modal
Gemini 1.5 Flash
Ultra-cheap1M context
Google1M$0.07$0.30Very FastBudget-friendly large-context tasks
Gemini 2.0 Flash
Latest Gemini1M context
Google1M$0.10$0.40Very FastAgentic tasks, large-scale data processing
Claude 3.5 Sonnet
Long contextWriting
Anthropic200k$3.00$15.00FastLong documents, writing, nuanced reasoning
Claude 3 Haiku
Ultra-fastCheap
Anthropic200k$0.25$1.25Ultra FastReal-time apps, summarization at scale
Claude 3 Opus
Highest qualityComplex reasoning
Anthropic200k$15.00$75.00SlowerResearch, complex multi-step tasks
GPT-4o
MultimodalCode
OpenAI128k$2.50$10.00FastGeneral-purpose, coding, vision tasks
GPT-4o mini
FastCheap
OpenAI128k$0.15$0.60Very FastHigh-volume, cost-sensitive tasks
Llama 3.1 405B
Open weightsSelf-hostable
Meta (Open)128k$3.00$3.00VariablePrivacy-focused, self-hosted deployments
Mistral Large
EuropeanMultilingual
Mistral128k$2.00$6.00FastEuropean data compliance, multilingual apps

Pricing is approximate and subject to change. Always verify with the provider's current pricing page. Updated June 2026.