text-embedding-3-large Token Calculator
The text-embedding-3-large token calculator below counts text-embedding-3-large tokens and prices them at OpenAI's published rates — $0.13 per 1M input tokens and — per 1M output tokens, last verified 2 October 2026. Because text-embedding-3-large is billed with OpenAI's cl100k_base tokenizer, the number here is exact, not an estimate. Paste a prompt, a file or a codebase and read the cost before you send it.
Open the full text-embedding-3-large counter with the whole pricing table →
text-embedding-3-large token cost at a glance
| Volume | Approx. size | Input cost | Output cost |
|---|---|---|---|
| 1K tokens | ≈ 769 words | $0.0001 | Free |
| 10K tokens | ≈ 7,692 words | $0.0013 | Free |
| 100K tokens | ≈ 76,923 words | $0.013 | Free |
| 1M tokens | ≈ 769,230 words | $0.13 | Free |
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 text-embedding-3-large count?
The count on this page is exact. text-embedding-3-large is billed by OpenAI using the cl100k_base Byte-Pair-Encoding tokenizer, and TokenCalc runs that same tokenizer in your browser — the count you see is the count you are charged. There is no rounding and no estimate.
text-embedding-3-large pricing against the rest of OpenAI
| Model | Tokenizer | Context | Input / 1M | Output / 1M |
|---|---|---|---|---|
| text-embedding-3-large | cl100k_base | – | $0.13 | — |
| GPT-5.5 | o200k | 1M | $5.00 | $30.00 |
| GPT-5 | o200k | 400K | $1.25 | $10.00 |
| GPT-5 mini | o200k | 400K | $0.25 | $2.00 |
| GPT-5 nano | o200k | 400K | $0.05 | $0.4 |
| GPT-4o | o200k | 128K | $2.50 | $10.00 |
| GPT-4o mini | o200k | 128K | $0.15 | $0.6 |
| GPT-4.1 | o200k | 1M | $2.00 | $8.00 |
| GPT-4.1 mini | o200k | 1M | $0.4 | $1.60 |
| GPT-4.1 nano | o200k | 1M | $0.1 | $0.4 |
| o3 | o200k | 200K | $2.00 | $8.00 |
| o4-mini | o200k | 200K | $1.10 | $4.40 |
| o3-mini | o200k | 200K | $1.10 | $4.40 |
| o1 | o200k | 200K | $15.00 | $60.00 |
| GPT-4 Turbo | cl100k | 128K | $10.00 | $30.00 |
| GPT-4 | cl100k | 8K | $30.00 | $60.00 |
| GPT-3.5 Turbo | cl100k | 16K | $0.5 | $1.50 |
| text-embedding-3-small | cl100k | – | $0.02 | — |
| GPT-5.6 Sol | o200k | 1M | $4.00 | $20.00 |
| GPT-5.6 Terra | o200k | 1M | $2.00 | $12.00 |
| GPT-5.6 Luna | o200k | 1M | $0.2 | $1.20 |
| GPT-5.4 | o200k | 400K | $2.50 | $15.00 |
| GPT-5.4 mini | o200k | 400K | $0.75 | $4.50 |
| GPT-5.4 nano | o200k | 400K | $0.2 | $1.25 |
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text-embedding-3-large token FAQs
How many tokens is a word in text-embedding-3-large?
About 1.3 tokens per English word for text-embedding-3-large — roughly 4.0 characters per token. Code and CJK text tokenize denser, so a its documented maximum window holds fewer words than a prose estimate suggests.
What does text-embedding-3-large cost per 1M tokens?
text-embedding-3-large is listed at $0.13 per 1M input tokens and — per 1M output tokens as of 2 October 2026.
What is the text-embedding-3-large context window?
text-embedding-3-large has no widely published fixed context window — check OpenAI's current docs.
Is the text-embedding-3-large token count on this page exact?
Yes. TokenCalc runs the official cl100k_base tokenizer, the same one OpenAI bills with.
Does this text-embedding-3-large 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.