AI Rate CardTools: pick a model by cost
Find the cheapest offer for your monthly workload, count the tokens of a prompt, convert price units.
Cost picker
How many tokens a month you send to the model (input) and get back (output), in millions. For example, a chatbot with 1,000 conversations a day is about 10 M input and 2 M output. Don't know your numbers? Count them below in the token estimator.
Model: GPT-5.4 ×
| Model | Provider | Your cost/mo, $ | Input, $ | Output, $ | Context |
|---|---|---|---|---|---|
| GPT-5.4 | xpersona | $1.95 | $0.001 / request | $6.00 | 1.1M |
| OpenAI: GPT-5.4 (batch) | openrouter | $2.75 | $1.25 | $7.50 | 1.1M |
| GPT-5.4 | requesty via OpenAI | $2.75 | $1.25 | $7.50 | 1.1M |
| GPT 5.4 (Batch) | vercel | $2.75 | $1.25 | $7.50 | 1.1M |
| GPT-5.4 | cometapi | $4.40 | $2.00 | $12.00 | — |
| GPT-5.4 | meganova | $4.40 | $2.00 | $12.00 | 400K |
| GPT-5.4 | poe | $5.00 | $2.27 | $13.64 | 1.1M |
| gpt-5.4 | jiekou | $5.22 | $2.38 | $14.25 | 1.1M |
| GPT-5.4 | edenai via Databricks | $5.50 | $2.50 | $15.00 | 922K |
| GPT-5.4 | edenai via Databricks | $5.50 | $2.50 | $15.00 | 922K |
| gpt-5.4 | 302ai | $5.50 | $2.50 | $15.00 | 1.1M |
| GPT-5.4 | abacus | $5.50 | $2.50 | $15.00 | 400K |
| GPT 5.4 | aihubmix | $5.50 | $2.50 | $15.00 | 1.1M |
| GPT-5.4 | aiml | $5.50 | $2.50 | $15.00 | — |
| GPT-5.4 | azure | $5.50 | $2.50 | $15.00 | 1.1M |
| GPT-5.4 | daoxe | $5.50 | $2.50 | $15.00 | 1.1M |
| GPT-5.4 | digitalocean | $5.50 | $2.50 | $15.00 | — |
| GPT-5.4 | edenai via OpenAI | $5.50 | $2.50 | $15.00 | 1.1M |
| OpenAI: GPT-5.4 | fastrouter | $5.50 | $2.50 | $15.00 | 1.1M |
| GPT-5.4 | freemodel | $5.50 | $2.50 | $15.00 | 1.1M |
Token estimator
Don't know your workload in tokens? Paste an example of your prompt, say how many such requests you make a month and how long an answer is: you get the monthly workload. The button puts it into the picker above and shows the offers.
Price units
Providers quote per token, per 1K or per 1M tokens: the same price in all three.
AI picker
Describe the task in your own words - what the model must do, how fast, the budget, the region - and get a short list of models and providers with the reasons.
Coming soon.