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Free AI Tools 2026

Free AI tools for developers. Count tokens, estimate API costs for GPT-4o, Claude, and Gemini, and optimize prompts before sending. No signup required.

Free AI tools for developers, content creators, and teams building with large language models. Count tokens before sending prompts, estimate API costs for GPT-4o, Claude Sonnet, and Gemini Pro, and compare model pricing before committing to a provider. All tools run in your browser with no API key or signup required.

The AI token counter supports GPT-4o, Claude, Gemini, DeepSeek, and Grok side by side. The OpenAI cost calculator helps you estimate monthly API spend based on model, token volume, and usage tier. The Claude API calculator does the same for Anthropic models. The AI prompt cost estimator lets you paste any prompt and see the estimated cost before sending it.

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AI Token Counter

Count words, characters, and estimated tokens by AI model.

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OpenAI Cost Calculator

Estimate monthly spend by model, tokens, and usage tier.

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Claude API Cost Calculator

Estimate Anthropic Claude API costs by model and monthly call volume.

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AI Prompt Cost Estimator

Paste your prompt to count tokens and estimate cost across GPT-4o, Claude, and more.

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Free AI tools for developers and content teams. Count tokens, estimate API costs, and plan usage before deploying. All tools run in your browser with no API key required.

Token counting

The AI token counter uses the same tiktoken library as OpenAI for accurate GPT-4o token estimates. Claude and Gemini token counts are approximations within 3 to 5 percent of actual model tokenizers. One token equals roughly 4 characters or 0.75 words in English. Code and technical text with special characters typically runs higher.

API cost estimation

The OpenAI and Claude cost calculators help developers estimate monthly API spend before it becomes a surprise. Enter your expected daily token volume and the tool projects monthly costs. System prompts are the most overlooked cost driver, a 500-token system prompt sent with 10,000 daily requests adds 5 million input tokens per day.

Prompt optimization

The AI prompt cost estimator shows token counts and costs across GPT-4o, Claude Sonnet, and Gemini simultaneously. This helps identify which model is most cost-effective for your specific prompt length and response requirements. Prompt caching, available from both OpenAI and Anthropic, can reduce input costs by 50 to 90 percent for repeated context.

Frequently asked questions

How accurate is the AI token counter?
The AI token counter uses tiktoken for GPT-4o token counts, which are exact. Claude and Gemini counts are approximations within 3-5% of each model's actual tokenizer. Token counts vary by content type: English prose runs about 1 token per 4 characters, code and technical content with symbols runs higher. For billing purposes, always verify final counts against your API dashboard.
What is the difference between input tokens and output tokens?
Input tokens are what you send to the model (your prompt, system prompt, and conversation history). Output tokens are what the model generates in response. Input tokens are typically priced lower than output tokens. For GPT-4o: $2.50/million input, $10/million output. For Claude Sonnet: $3/million input, $15/million output. Most API costs are dominated by output tokens in long-form generation tasks.
How do I estimate my monthly OpenAI API costs?
Multiply average prompt tokens by your daily request count to get daily input tokens. Multiply average response tokens by daily requests for daily output tokens. Apply the model's per-million pricing. Example: 1,000 daily requests with 500 input tokens and 1,000 output tokens each on GPT-4o = 500K input ($1.25) + 1M output ($10) = $11.25/day or ~$338/month. Use the OpenAI Cost Calculator above for instant estimates.
Which AI model is cheapest for API use in 2026?
For general text tasks: GPT-4o Mini is approximately $0.15/million input and $0.60/million output. Claude Haiku is $0.25/million input and $1.25/million output. Gemini Flash is roughly similar in range. For high-quality tasks: GPT-4o, Claude Sonnet, and Gemini Pro are in the $2-15/million range. Cheapest overall for bulk tasks is usually GPT-4o Mini or Gemini Flash.
What is prompt caching and how much does it save?
Prompt caching stores repeated portions of your context (system prompts, documents, few-shot examples) so they are not re-processed on every request. OpenAI and Anthropic both offer caching at 50-90% discount on cached tokens. Example: a 2,000-token system prompt sent 10,000 times per day = 20M cached input tokens. At GPT-4o rates, caching reduces that cost from $50 to $5 per day.
How many tokens is a typical ChatGPT conversation?
A short exchange (1 question, 1 answer) typically runs 200-500 tokens total. A medium conversation with context (10 turns) runs 2,000-5,000 tokens. A long research session with documents can exceed 50,000-100,000 tokens if you are working near the context window limit. The key cost driver is that every message includes the full conversation history, so token counts compound across a session.
What is the context window limit for GPT-4o and Claude Sonnet?
GPT-4o has a 128,000 token context window. Claude Sonnet 3.5 supports 200,000 tokens. Gemini 1.5 Pro supports up to 2 million tokens. In practice, model attention and output quality can degrade with very long contexts. For production use, 50,000-100,000 tokens is a more reliable working range for complex tasks.
How do I reduce my AI API costs without switching models?
Seven proven methods: 1) Use prompt caching for repeated system prompts. 2) Batch API requests to get 50% discounts. 3) Use a smaller model for classification or routing and the full model only for generation. 4) Trim conversation history to the last N turns instead of sending everything. 5) Compress prompts by removing redundant instructions. 6) Set max_tokens limits to prevent runaway output. 7) Cache results for repeated identical requests.