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: o4-mini ×
| Model | Provider | Your cost/mo, $ | Input, $ | Output, $ | Context |
|---|---|---|---|---|---|
| OpenAI: o4 Mini (batch) | openrouter | $0.99 | $0.55 | $2.20 | 200K |
| o4 Mini | requesty via OpenAI | $0.99 | $0.55 | $2.20 | 200K |
| o4 Mini | cometapi | $1.58 | $0.88 | $3.52 | — |
| o4 Mini | abacus | $1.98 | $1.10 | $4.40 | 200K |
| O4 Mini | aihubmix | $1.98 | $1.10 | $4.40 | 200K |
| o4-mini | azure | $1.98 | $1.10 | $4.40 | 200K |
| o4 Mini | edenai via OpenAI | $1.98 | $1.10 | $4.40 | 200K |
| OpenAI: o4 Mini | fastrouter | $1.98 | $1.10 | $4.40 | 200K |
| OpenAI o4 Mini | helicone | $1.98 | $1.10 | $4.40 | 200K |
| OpenAI o4-mini | impossibl | $1.98 | $1.10 | $4.40 | 200K |
| o4-mini | jiekou | $1.98 | $1.10 | $4.40 | 200K |
| OpenAI: o4 Mini | kilo | $1.98 | $1.10 | $4.40 | 200K |
| OpenAI o4 Mini | nearai | $1.98 | $1.10 | $4.40 | 200K |
| o4-mini | openai | $1.98 | $1.10 | $4.40 | 200K |
| o4 Mini | requesty via Azure | $1.98 | $1.10 | $4.40 | 200K |
| o4-mini | vercel | $1.98 | $1.10 | $4.40 | 200K |
| OpenAI: o4 Mini | zenmux | $1.98 | $1.10 | $4.40 | 200K |
| OpenAI: o4 Mini | trustedrouter | $2.09 | $1.16 | $4.64 | 200K |
| o4 Mini | requesty via Azure | $2.18 | $1.21 | $4.84 | 200K |
| o4 Mini | poe | $1.80 | $1.00 | $4.00 | 200K |
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.