AI Credit & Cost Calculator

How to Use the AI Credit & Cost Calculator

Select a use-case preset or enter custom usage: requests per day, average input tokens per request and average output tokens per request. Furthermore, click Compare All Models to see a ranked cost comparison across 20+ models from 7 providers. The recommendation engine identifies the best-value model for your specific usage pattern. Additionally, copy the full comparison table for team discussions or procurement decisions.

1. Select a presetChatbot, Coding Agent, RAG, Content Generation, Support Bot or Summariser.
2. Adjust usageSet requests/day, input tokens/request and output tokens/request.
3. Compare modelsView 20+ models sorted by monthly cost with quality ratings.
4. Read recommendationSee the best-value, cheapest and premium options for your usage.
5. Copy resultsCopy the ranked list with monthly and annual costs.

Competitor Gap Analysis

Most AI pricing calculators show a single model's cost or list static price tables. Furthermore, no single free tool combines 20+ models from 7 providers with use-case presets, automatic recommendation, quality ratings and copy-to-clipboard comparison.

How AI API Pricing Works

AI APIs charge per token consumed. One token equals approximately 0.75 English words, or roughly 4 characters. Furthermore, input tokens (your prompt, system message and context) and output tokens (the model's response) are priced separately. Output tokens are typically 3 to 8 times more expensive than input tokens because generation requires more compute.

Sources: OpenAI API Pricing · Anthropic Claude Pricing · Google AI Pricing

AI Model Pricing Comparison (June 2026)

The table below lists current per-million-token prices for the most widely used AI models. Furthermore, prices have dropped approximately 80 percent between early 2025 and mid-2026. The cost gap between frontier models (GPT-5.5, Opus 4.6) and budget models (DeepSeek V4, Gemini Flash-Lite) spans a 50x range.

Choosing the Right Model for Your Use Case

Different tasks require different quality levels. Furthermore, using a frontier model for simple classification wastes 90 percent of spend. The optimal strategy is tiered routing: send simple tasks to cheap models and complex tasks to premium models. Additionally, this approach can reduce total API costs by 60 to 80 percent without measurably affecting output quality.

Cost Reduction Strategies

Prompt Caching

Prompt caching stores repeated system prompts so you pay reduced rates on subsequent calls. Furthermore, OpenAI offers 50 to 90 percent discounts on cached input. Anthropic offers 90 percent discounts on cache reads. This is most effective for applications with long, static system prompts.

Batch Processing

Anthropic offers 50 percent discount on batch API calls. Furthermore, batch processing is ideal for non-real-time tasks like content moderation, data extraction and translation. OpenAI also offers batch endpoints at reduced rates.

Tiered Routing

Route simple queries to cheap models and complex queries to premium models. Furthermore, a classifier model (GPT-5 Nano at $0.05/M input) can categorise incoming requests by complexity. Simple queries go to Haiku ($1/$5). Complex queries go to Sonnet ($3/$15). This reduces average cost by 60 to 80 percent.

AI Pricing Trends: 2023 to 2026

AI API prices have dropped approximately 95 percent since 2023 according to ARK Invest research. Furthermore, GPT-4 launched at $30/$60 per million tokens in 2023. The equivalent capability in 2026 costs $1.75/$14 via GPT-5.2. Additionally, competition from DeepSeek, Mistral and Google has accelerated price reductions across all providers.

Prices continue to fall 30 to 50 percent per year. Furthermore, each new model generation typically matches the previous generation's quality at a fraction of the cost. Enterprise buyers should avoid long-term volume commitments at current prices because rates will likely be significantly lower within 12 months.

Sources: ARK Invest: AI Cost Deflation Research · Prompt Engineer Collective: LLM API Pricing 2026 · DevTk.AI: 40+ Models Compared

Other AI Tools You Might Need

Beyond cost calculation, teams building AI products need several supporting tools. Furthermore, here are AI-related tool categories that complement this calculator.

References

1. OpenAI API Pricing, June 2026.
2. Anthropic Claude API Pricing, June 2026.
3. Google AI / Gemini Pricing, June 2026.
4. Prompt Engineer Collective: LLM API Pricing 2026.
5. DevTk.AI: AI API Pricing Comparison May 2026.
6. IntuitionLabs: AI API Pricing Comparison 2026.
7. ARK Invest: AI Cost Deflation.

Understanding Token Counts

One token equals approximately 0.75 English words, or roughly 4 characters. Furthermore, a 1,000-word document contains approximately 1,333 tokens. Code typically tokenises at a higher ratio than prose because variable names and syntax characters each consume separate tokens. Additionally, different providers use different tokenisers. OpenAI uses tiktoken, Anthropic uses a custom BPE tokeniser, and Google uses SentencePiece.

System prompts consume input tokens on every request. Furthermore, a 500-word system prompt adds approximately 667 tokens to every call. At 1,000 requests per day on Sonnet 4.6, that system prompt alone costs $2.00 per day. Additionally, prompt caching can reduce this cost by 90 percent on repeated identical prefixes.

Frequently Asked Questions

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