- Estimate latest gpt-5.5 token costs
AI Token Calculator
Use this AI token calculator to instantly estimate the cost of tokens across major AI models. Find out how much it will cost you to use the latest GPTs, Claude, Gemini or DeepSeek LLMs for text input and output.
- Character count
- Input/output token count
- Word count
OpenAI
Anthropic
Kie.ai
Most affordable AI API for top models.
- One API key. GPT, Claude, Gemini, Grok & more.
- Lower rates than direct provider pricing.
- No setup per provider — start in minutes.
Affiliate link · supports this free tool
Google Gemini
Perplexity
DeepSeek
Grok
One API. Every model above. Lower prices.
Stop juggling six API keys and six billing dashboards. Kie.ai gives you a single endpoint for GPT, Claude, Gemini, Grok and more — at the most affordable rates for top models.
Get started with Kie.ai →Affiliate link — pricing data on this page is sourced from official provider documentation.
What You Can Do With This AI Token Calculator
This AI token calculator helps you measure and compare token costs, token usage, and API costs across different models such as OpenAI, Anthropic Claude, and Google Gemini. Use it to understand the maximum input and maximum output allowed by each model so you can manage token usage and costs more efficiently.
Popular AI Models API Cost
Estimate API token costs for input tokens, output tokens, and cached tokens. Use this AI token calculator to identify which model fits your budget and performance needs.
Detailed Token Insights
Each token calculator result includes characters, word count, input token, and output token estimates. You can view total token costs per model, monitor API costs, and plan your text processing within the token limit. No Excel sheet needed.
Compare GPT Models (and others)
Compare models like GPT-5, GPT-4o, Claude, Gemini, Perplexity Sonar, DeepSeek, and Grok with real-time token calculator data.
Current API Prices for the Latest LLM Models
These are the latest models’ API costs per input and output tokens.
- All prices are per 1 million tokens
- Open AI
GPT-5.5 API Price
OpenAI’s newest flagship model. Higher reasoning, better multimodality, and significantly lower latency.
Input
$5.00
Cached input
$0.50
Output
$30.00
Gemini 3.5 Flash API Price
Google’s most intelligent Flash model — frontier-level intelligence built for speed, with superior search and grounding. Designed for agentic workflows, sub-agent deployment, and long-horizon tasks at scale.
Input
- $1.50
Cached input
- $0.15
Output
- $9.00
- Anthropic
Claude Opus 4.7 API Price
Anthropic’s flagship reasoning model. Best-in-class for long-horizon agentic workflows, complex coding, and high-stakes analysis (≤200K context tier shown).
Input
- $15.00
Cached input
- $1.50
Cached write
- $18.75 (5m) / $30.00 (1h)
Output
- $75.00
- Grok
Grok 4.1 Fast API Price
Grok’s fastest, most cost-efficient model to date, featuring an industry-leading 2M context window and massive rate limits.
Input
- $0.20
Cached input
- $0.05
Output
- $0.50
- DeepSeek
DeepSeek-V3.2 API Price
The efficiency champion. Optimized for high-speed reasoning and code generation with a specialized “Thinking Mode” for complex logic.
Input
- $0.28
Cached input
- $0.028
Output
- $0.42
- Perplexity
Sonar Deep Research API
A high-precision search and reasoning engine designed for deep-dive research tasks and verifiable agentic citation workflows.
Input
- $2
Reasoning
- $3
Output
- $8
Programming language token efficiency, ranked
These rankings come from the RosettaCode task comparison discussed earlier, using GPT-family tokenization as the baseline. The pattern is simple: terse functional and dynamic languages stay compact, while verbose low-level and enterprise languages burn more tokens for the same job.
| Language | Avg tokens (Rosetta task) | Type system | Verdict for LLM agents |
|---|---|---|---|
| J | ~70 | Dynamic | Ultra-compact, niche tradeoff |
| Clojure | ~109 | Dynamic | Best for long agent sessions |
| Ruby | ~119 | Dynamic | Very token-efficient |
| Python | ~128 | Dynamic | Strong balance of cost and readability |
| Haskell | ~130 | Static | Lean despite static typing |
| F# | ~136 | Static | Efficient typed option |
| Lisp | ~145 | Dynamic | Compact, but less mainstream |
| Scala | ~166 | Static | Mid-pack, acceptable overhead |
| JavaScript | ~177 | Dynamic | Usable, but not especially lean |
| Go | ~182 | Static | Moderate token cost |
| C# | ~216 | Static | Noticeable token tax |
| Java | ~224 | Static | High token tax |
| C++ | ~250 | Static | Expensive in long contexts |
| C | ~283 | Static | Worst for token efficiency |
FAQs
1. What is the AI Token Cost Calculator?
The AI Token Cost Calculator is a free tool that helps you estimate how much it costs to process text using different AI language models. It breaks down input, output, and total costs for providers like OpenAI, Anthropic, Google Gemini, Perplexity, and DeepSeek.
2. What are “tokens” in AI models?
Tokens are chunks of text that AI models use to process language. One token is roughly four characters of English text. For example, the word “ChatGPT” is about two tokens.
3. Why should I calculate token costs?
Because every AI model charges per token, knowing the token count helps you predict costs before sending text to the API. It’s especially useful if you run chatbots, automation tools, or content generators and want to manage expenses accurately.
4. Can I compare multiple models side by side?
Yes. The calculator automatically generates pricing cards for all major AI models so you can easily compare costs across providers in one place.
5. Will this calculator be updated with new models?
Yes. As new AI models and pricing are released, the tool will be updated to include them so you always have the most accurate cost comparison.
6. Which is the most expensive model to date?
The most expensive model on this calculator is OpenAI’s o1-pro, at $150 per 1M input tokens and $600 per 1M output tokens. Among current-generation flagships, gpt-5.5-pro and gpt-5.4-pro sit at $30 input / $180 output per 1M tokens.
7. What is the most affordable model to date?
The cheapest text model to date is OpenAI’s gpt-5-nano, priced at $0.05 per 1 million input tokens and $0.40 per 1 million output tokens.