The price of 1 million input/output tokens for each AI tool (in VND) plus how much content 1M tokens produces — so content/SEO teams can budget.
A token is how AI models charge. The tool shows the price of 1 million tokens for Claude, ChatGPT and Gemini in VND and converts it into articles/words. For Vietnamese especially: one word can split into 3–4 tokens, so 1M tokens yields fewer words than in English — which is why the AI cost of Vietnamese content is often underestimated.
A token is the unit of text a model processes — roughly 1 token ≈ 0.75 English words. Both the text you send (input) and what the model returns (output) are billed; output is usually several times more expensive.
It depends on the model: from a few thousand VND for lightweight models to hundreds of thousands for flagships. The tool shows the exact VND figure per tool, updated to 2026 pricing.
Tokenizers are English-trained, so Vietnamese fragments into more tokens (a word can become 3–4 tokens). The same article in Vietnamese burns ~1.5–2× the tokens of English.
Input is your prompt and reference material; output is what the AI generates. Output typically costs 3–5× input, so longer articles cost more — controlling length matters more than trimming the prompt.
Building AI into your own product or app? Use the developer-focused calculator on topon.tech.
Figures are budgeting estimates, not an actual invoice. Tool by the TOS team.
