---
title: "MiniMax Token Counter for M3 & M2.7"
description: "Free MiniMax token counter for MiniMax M3 and M2.7. The real MiniMax tokenizer runs in your browser, with live cost estimates against the million-token context window."
canonical: https://holaclaw.ai/tools/token-counter/minimax
---

# MiniMax Token Counter

Count tokens and estimate cost for MiniMax M3 and M2.7. MiniMax's real tokenizer runs in your browser.

Use it at [holaclaw.ai/tools/token-counter/minimax](https://holaclaw.ai/tools/token-counter/minimax).

## Counting tokens for MiniMax models

**MiniMax publishes the tokenizer with its open weights, so the counts on this page are exact.** MiniMax M3 loads by default. Add M2.7 from the compare table to price the same text on the earlier generation; the count stays the same, because the whole M2 and M3 line shares one vocabulary. The context bar measures your text against M3's million-token window. MiniMax bills the first 512K input tokens of a request at the standard rate, so the bar also shows how far you are from the higher tier.

## Pricing and context windows

MiniMax input prices per million tokens, with the context window of each model.

| Model | Tokenizer | Price / 1M input | Context window |
| --- | --- | --- | --- |
| MiniMax M3 | minimax-m3 | $0.30 | 1M |
| MiniMax M2.7 | minimax-m3 | $0.30 | 205K |

Prices and context windows are curated metadata refreshed periodically from the providers and OpenRouter, so treat them as guidance rather than a quote. Token counts are always produced by the real tokenizer.

## How MiniMax tokenization works

**MiniMax M2, M2.1, M2.5, M2.7, and M3 share one 200,000-entry vocabulary.** The base vocabulary file is byte-identical across every MiniMax M2 and M3 release. M3 only adds a handful of special tokens for its multimodal features and its thinking blocks, and those never appear in pasted text. That makes a MiniMax M3 token counter and a MiniMax M2.7 token counter the same measurement, with price and context window as the only differences.

The vocabulary is on the larger side and the pre-tokenizer splits text the way OpenAI's o200k encoding does, so English counts land close to GPT-5: 572 tokens on our fixed 500-word sample, the same as o200k_base. MiniMax's own guidance is about 750 English words per 1,000 tokens.

## Frequently asked questions

### Is this MiniMax's official tokenizer?

**Yes. The tool loads the tokenizer published with the open weights.** The file is fetched once and your text is tokenized in the browser, so the count is exact and nothing is uploaded. MiniMax's API also offers an input_tokens endpoint that returns the count for a full request, including its chat formatting.

### Do MiniMax M3 and M2.7 tokenize differently?

**No. The same text produces the same count on both.** They share the vocabulary and merge rules; M3's extra special tokens only matter inside its chat template. The compare table shows one count against each model's price and context window.

### How does MiniMax pricing change above 512K tokens?

**The standard rate applies while a request stays under 512K input tokens. Longer inputs cost twice as much per token.** The context bar measures your text against the full million-token window, so a fill past the halfway mark means the request has crossed into the higher tier. Cached input is billed at a fifth of the fresh input rate.

### Are thinking tokens counted here?

**No. This page counts the text you paste, which is input.** M3's reasoning is generated at reply time and billed as output at the same per-token rate as the visible answer, whether thinking is on, adaptive, or off.

## Token counters for other models

- [Compare all model families on the full token counter](/tools/token-counter.md)
- [OpenAI Token Counter](/tools/token-counter/openai.md)
- [Claude Token Counter](/tools/token-counter/claude.md)
- [Gemini Token Counter](/tools/token-counter/gemini.md)
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- [Mistral Token Counter](/tools/token-counter/mistral.md)
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- [GLM Token Counter](/tools/token-counter/glm.md)
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- [Nemotron Token Counter](/tools/token-counter/nemotron.md)
- [Ornith Token Counter](/tools/token-counter/ornith.md)
- [Agents-A1 Token Counter](/tools/token-counter/agents-a1.md)
- [SmolLM3 Token Counter](/tools/token-counter/smollm.md)
- [Granite Token Counter](/tools/token-counter/granite.md)