https://x402.nichospt.net/count-tokens
Count the number of tokens a string uses for an LLM, using the same BPE encodings the major models use (o200k_base for GPT-4o/o1, cl100k_base for GPT-4/3.5 and embeddings). Optionally pass a USD price per million tokens to get an estimated cost. Lets an agent budget context and spend before a call.
#95
$0.01
8
8
Points earned against points available, biggest lever first.
| Rank | Service | Score | Volume | Price |
|---|---|---|---|---|
| #1 | AX1 Console−54 | 81 | 295.1K txns | $0.02 |
| #2 | BlockRun.AI−41 | 68 | 208.5K txns |
| $0.0010 |
| #3 | Exa−33 | 60 | 7.4K txns | $0.0070 |
| #4 | Vaaya−32 | 59 | 914 txns | $0.01 |
| #5 | 57 | 408 txns | $1.00 |