ERNIE X1 Token Calculator
The ERNIE X1 token calculator below counts ERNIE X1 tokens and prices them at Baidu ERNIE (百度)'s published rates — $0.006 per 1M input tokens and $0.02 per 1M output tokens, last verified 2 October 2026. Baidu ERNIE (百度) does not publish its tokenizer, so the count is a calibrated estimate — stated plainly on every table here rather than dressed up as exact. Use it to budget and to compare ERNIE X1 against other models.
Open the full ERNIE X1 counter with the whole pricing table →
ERNIE X1 token cost at a glance
| Volume | Approx. size | Input cost | Output cost |
|---|---|---|---|
| 1K tokens | ≈ 769 words | $0 | $0 |
| 10K tokens | ≈ 7,692 words | $0.0001 | $0.0002 |
| 100K tokens | ≈ 76,923 words | $0.0006 | $0.002 |
| 1M tokens | ≈ 769,230 words | $0.006 | $0.02 |
Figures are list prices per 1M tokens, verified 2 October 2026. Enterprise contracts and volume tiers differ — edit the rates in the calculator if your deal is not list.
How accurate is the ERNIE X1 count?
Baidu ERNIE (百度) does not publish a public tokenizer, so this page reports an estimate — accurate to roughly 5–10% on English text and widening on code or mixed Chinese-English prompts. Treat it as a budgeting number, not an invoice number. If you need invoice-grade counts, count with the exact OpenAI tokenizer on the main calculator and read the gap as your margin of safety.
## What fits in the ERNIE X1 context window ERNIE X1 accepts **128K tokens**. At roughly 1.3 tokens per English word that is about **98,461 words**, or roughly **460,800 characters** of prose. Code and CJK text consume the budget faster: a source file or a Chinese document of the same visible length can run 30–60% more tokens, so leave headroom rather than budgeting to the exact ceiling.ERNIE X1 pricing against the rest of Baidu ERNIE (百度)
| Model | Tokenizer | Context | Input / 1M | Output / 1M |
|---|---|---|---|---|
| ERNIE X1 | estimate | 128K | $0.006 | $0.02 |
| ERNIE 4.5 (文心一言) | estimate | 128K | $0.2 | $0.55 |
All Baidu ERNIE (百度) models and rates →
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ERNIE X1 token FAQs
How many tokens is a word in ERNIE X1?
About 1.3 tokens per English word for ERNIE X1 — roughly 3.6 characters per token. Code and CJK text tokenize denser, so a 128K tokens window holds fewer words than a prose estimate suggests.
What does ERNIE X1 cost per 1M tokens?
ERNIE X1 is listed at $0.006 per 1M input tokens and $0.02 per 1M output tokens as of 2 October 2026.
What is the ERNIE X1 context window?
ERNIE X1 accepts up to 128K tokens of input.
Is the ERNIE X1 token count on this page exact?
No. Baidu ERNIE (百度) does not expose its tokenizer, so this is a calibrated estimate at 5–10% accuracy.
Does this ERNIE X1 calculator upload my text?
No. Tokenization runs entirely in your browser over JavaScript. Your text is never sent to any server, which is why the tool works with client code, unreleased prompts and internal data.