{T}
TokenMath.net
100% Client-SideExact BPE (cl100k_base)

Grok Token Counter

xAI doesn't distribute the production tokenizer for Grok 4.x as a public library, so TokenMath counts Grok tokens with OpenAI-compatible BPE baselines (cl100k_base for Grok 4.6, o200k_base for Grok 4.6 Mini). Use it for budgeting, and treat the API's usage field as the billing source of truth.

Universal AI Token Counter

Zero-latency, client-side BPE tokenization with real-time multi-model benchmarks.

Tokens (Grok 4.6)
172
Ratio: 4.17 chars/token•Single Call Cost: $0.00034•Context Used: 0.03% of 500,000
Prices last updated: 2026-10-02 18:28 UTC
•Verified xAI Rates
Content Metrics
Characters
718
Words
94
Lines
11
Est. Read Time
26s
Cost Across Frontier Models for this Workload:
Click any model to select as active target
💡 Workload Optimization:You could spend 98% less by routing this workload to Mistral Small 4 ($0.000026) instead of GPT-6 Astra ($0.00164).
At 100k runs/month, that saves approx. $161.44/mo.
Cheapest Model Finder →
Context Headroom Analyzer(Grok 4.6)
172 / 500,000 tokens(0.03% used • 99.97% free)
Claude Sonnet 51M
0.0%
GPT-6 Astra1.05M
0.0%
Gemini 3.8 Flash1.05M
0.0%
DeepSeek-V4.1-Flash1.05M
0.0%
11 lines•94 words•718 characters
Prompts stay in your browser. Calculator inputs are never transmitted.

Grok Models: Context Windows & Token Prices

ModelContext WindowInput / 1MOutput / 1MToken Count Accuracy
Grok 4.6500k tokens$2$6Exact BPE (cl100k_base)
Grok 4.6 Mini512k tokens$0.4$1.6Exact BPE (o200k_base)

How Grok Tokenization Works

Grok models split text with the BPE baseline (cl100k_base / o200k_base) tokenizer, a Byte-Pair Encoding (BPE) scheme with a 100k–200k tokens (baseline) vocabulary. Common words map to one token, while rare words, identifiers and non-Latin scripts are split into several subword pieces. Read how BPE and SentencePiece tokenization work for the details.

  • Grok's API returns prompt and completion token usage on every response, which is the number you're billed on.
  • Grok 4.6 has a 500k-token context window, so headroom is rarely the constraint; cost is.

Once you know your token count, estimate a full monthly bill with the LLM cost calculator, or see every xAI model price.

Grok Token Counter FAQ

How do I count Grok tokens?

Paste your prompt into the counter above with a Grok model selected. TokenMath tokenizes the text in your browser and shows the token count, context window usage and input cost. Accuracy: Exact BPE (cl100k_base).

What tokenizer does Grok use?

Grok models are counted with the BPE baseline (cl100k_base / o200k_base) tokenizer (Byte-Pair Encoding (BPE), 100k–200k tokens (baseline) vocabulary). xAI doesn't distribute the production tokenizer for Grok 4.x as a public library, so TokenMath counts Grok tokens with OpenAI-compatible BPE baselines (cl100k_base for Grok 4.6, o200k_base for Grok 4.6 Mini).

How many words is 1,000 Grok tokens?

For typical English prose, 1,000 tokens is roughly 700–750 words. Code, JSON and non-English text use more tokens per word, so count the actual text when budgeting.

How much does Grok 4.6 cost per token?

Grok 4.6 costs $2 per 1M input tokens and $6 per 1M output tokens. That's $0.00200 per 1,000 input tokens.