---
title: "GLM Token Counter for GLM-5.3, 5.2, 5.1 & 4.6"
description: "Free GLM token counter for Z.ai's GLM-5.3, GLM-5.2, GLM-5.1, GLM-5, and GLM-4.6. The real GLM tokenizer runs in your browser, with live cost estimates."
canonical: https://holaclaw.ai/tools/token-counter/glm
---

# GLM Token Counter

Count tokens and estimate cost for Z.ai's GLM-5 series and GLM-4.6. GLM's real tokenizer runs in your browser.

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

## Counting tokens for GLM models

**Z.ai publishes GLM's tokenizer with the open weights, so the counts on this page are exact.** GLM-5.3 and GLM-5.2 load by default. Add GLM-5.1, GLM-5, or GLM-4.6 from the compare table to price the same text on the other versions. Every GLM-5 release ships the same vocabulary file, so the count only moves when you switch to GLM-4.6, and even then only on unusual text. The context bar measures your text against the million-token window of GLM-5.2 and GLM-5.3.

## Pricing and context windows

GLM input prices per million tokens, with the vocabulary and context window of each model.

| Model | Tokenizer | Price / 1M input | Context window |
| --- | --- | --- | --- |
| GLM-5.3 | glm-5 | $1.40 | 1M |
| GLM-5.2 | glm-5 | $1.19 | 1M |
| GLM-5.1 | glm-5 | $1.26 | 205K |
| GLM-5 | glm-5 | $0.60 | 205K |
| GLM-4.6 | glm-4.6 | $0.50 | 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 GLM tokenization works

**GLM-5, 5.1, 5.2, and 5.3 share one tokenizer, so a version-specific count is not a thing.** The GLM-5 vocabulary is a byte-level BPE with about 155,000 entries. Z.ai ships the same tokenizer file with GLM-5, GLM-5.1, and GLM-5.2, and GLM-5.3 is a post-training update of the same base, so any text produces the same token count across the series. GLM-4.6 uses the earlier vocabulary of about 151,000 entries. GLM-5 keeps every one of those entries at the same id and adds around 3,500 new ones, so counts on ordinary text match almost exactly: both files came to 574 tokens on our fixed 500-word English sample.

Before the merges apply, text is split with the same rule OpenAI uses for GPT-4 (contractions, runs of up to three digits, punctuation). The vocabulary was trained with a large share of Chinese, so Chinese text tokenizes more compactly here than under English-first encodings. Z.ai's own rule of thumb is about 0.75 English words or 1.5 Chinese characters per token.

## Frequently asked questions

### Do GLM-5, 5.1, 5.2, and 5.3 use the same tokenizer?

**Yes. The tokenizer file is identical across the GLM-5 series.** Z.ai publishes the same file with GLM-5, GLM-5.1, and GLM-5.2, and GLM-5.3 reuses the GLM-5.2 base, so one counter covers every version. What changes between them is the price and, from GLM-5.2 on, the context window, which grew from 200K to 1M tokens.

### Does the count match what Z.ai bills?

**For the text itself, yes. A real request adds a few tokens of chat formatting.** The API wraps each message in role tokens and adds any tool definitions you send, so the prompt_tokens figure in a response runs slightly above a plain-text count. Reasoning is billed at the output rate, and GLM-5.3 always thinks before answering, so a reply costs more tokens than its visible text.

### How does GLM-4.6 differ from GLM-5?

**GLM-5 extends the GLM-4.6 vocabulary rather than replacing it.** Every GLM-4.6 entry keeps its id in GLM-5, with about 3,500 new entries added on top. Counts on ordinary text are the same or within a token or two. Add GLM-4.6 from the compare table to check your own text.

### Which GLM models does this cover?

**GLM-5.3, GLM-5.2, GLM-5.1, GLM-5, and GLM-4.6.** Z.ai's API-only variants, such as GLM-5-Turbo and GLM-5V-Turbo, belong to the same series and are not listed separately; the GLM-5 count is the closest available measurement for them. Only price and modality differ.

## 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)
- [DeepSeek Token Counter](/tools/token-counter/deepseek.md)
- [Qwen Token Counter](/tools/token-counter/qwen.md)
- [Mistral Token Counter](/tools/token-counter/mistral.md)
- [Grok Token Counter](/tools/token-counter/grok.md)
- [Muse Glimmer Token Counter](/tools/token-counter/muse-glimmer.md)
- [MiniMax Token Counter](/tools/token-counter/minimax.md)
- [Phi-4 Token Counter](/tools/token-counter/phi.md)
- [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)