GPT API pricing

OpenAI Cost Calculator

Use this OpenAI cost calculator to estimate cost per interaction, monthly spend and token usage for GPT-powered apps before you build.

Calculate OpenAI Cost Cost

Estimate GPT API costs for prompts, summaries, chatbots and AI workflows. Compare OpenAI pricing against Claude, Gemini and DeepSeek models.

No API key required. Your transcript stays in your browser.

Characters: 0Words: 0Estimated input tokens: 0Estimated token count

Output tokens are estimated based on the selected summary type and input length.

Number of customer calls or chats summarized each month.

Advanced Settings
i

Tokens used by the system prompt or recurring instructions in every interaction.

i

Percentage of input tokens expected to use provider prompt caching.

Compare the Same Workload Across Models

Compare model pricing, per-interaction cost, and monthly difference using the same current calculator values.

Paste sample content above to compare model costs.

What drives OpenAI API cost

An OpenAI API request can include system instructions, the user's message, retrieved documents, tool definitions and conversation history. All of that becomes input context. The generated answer becomes output, which is usually priced separately from input.

For a realistic estimate, use a production-sized prompt rather than a short test message. Include the history and retrieved context your application normally sends, then model retries or multi-step calls as additional interactions.

OpenAI workloadTokens to includeCommon budgeting mistake
Support chatbotInstructions, message history and replyEstimating only the newest user message
Document summaryExtracted document text and summaryLeaving out repeated formatting instructions
Tool-using workflowTool schemas, tool results and final answerCounting one request when the workflow makes several

Choose the right OpenAI model tier

Use the same representative workload when comparing GPT models. A smaller model can materially reduce monthly spend for classification, extraction and short answers, while a more capable model may be justified for complex reasoning or high-value outputs.

Cached input can lower the cost of repeated instructions when the selected model supports it. This calculator shows cached-input pricing separately, but batch, priority, regional and tool-specific charges should be verified against the official OpenAI documentation.

Model tierGood starting point forCost consideration
Flagship GPTComplex analysis and high-value reasoningHighest cost; validate quality gains with an evaluation set
GPT miniChatbots, summaries and routine workflowsBalanced option for repeated production traffic
GPT nanoClassification, routing and simple extractionLowest cost when the task is narrow and testable

Official Pricing Sources

Provider prices and billing rules can change. Verify the current rates and special pricing conditions before committing a production budget.

OpenAI Cost Calculator FAQ

How do I estimate OpenAI API cost?

Paste a representative prompt, transcript or content sample, then enter expected monthly interactions. The calculator estimates input tokens, output tokens and monthly cost.

Does this call the OpenAI API?

No. The MVP runs locally in your browser and does not require an API key.

Can I compare OpenAI with other models?

Yes. The comparison table uses the same workload across supported OpenAI, Anthropic, Google and DeepSeek models.

How should I estimate cached OpenAI input?

Count only stable prompt content that is repeatedly reused and supported by the selected model's caching rules. Unique user content should remain standard input.

Does the estimate include OpenAI Batch API discounts?

No. The default comparison uses standard text-token pricing. Verify batch, priority and other specialized rates in the official OpenAI documentation.