Tools: 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-4.1 mini ×
| Model | Provider | Your cost/mo, $ | Input, $ | Output, $ | Context |
|---|---|---|---|---|---|
| OpenAI: GPT-4.1 Mini (batch) | openrouter | $0.36 | $0.20 | $0.80 | 1M |
| GPT-4.1 mini (Batch) | vercel | $0.36 | $0.20 | $0.80 | 1M |
| GPT-4.1 mini | cometapi | $0.58 | $0.32 | $1.28 | — |
| GPT-4.1 mini | poe | $0.65 | $0.36 | $1.45 | 1M |
| gpt-4.1-mini | 302ai | $0.72 | $0.40 | $1.60 | 1M |
| GPT-4.1 Mini | abacus | $0.72 | $0.40 | $1.60 | 1M |
| GPT 4.1 Mini | aihubmix | $0.72 | $0.40 | $1.60 | 1M |
| GPT-4.1 mini | aiml | $0.72 | $0.40 | $1.60 | — |
| GPT-4.1 mini | azure | $0.72 | $0.40 | $1.60 | 1M |
| GPT-4.1 mini | edenai via Azure | $0.72 | $0.40 | $1.60 | 1M |
| GPT-4.1 mini | edenai via OpenAI | $0.72 | $0.40 | $1.60 | 1M |
| OpenAI: GPT-4.1 Mini | fastrouter | $0.72 | $0.40 | $1.60 | 1M |
| OpenAI GPT-4.1 Mini | helicone | $0.72 | $0.40 | $1.60 | 1M |
| GPT-4.1 mini | impossibl | $0.72 | $0.40 | $1.60 | 1M |
| gpt-4.1-mini | jiekou | $0.72 | $0.40 | $1.60 | 1M |
| OpenAI: GPT-4.1 Mini | kilo | $0.72 | $0.40 | $1.60 | 1M |
| OpenAI GPT-4.1 Mini | nearai | $0.72 | $0.40 | $1.60 | 1M |
| GPT-4.1 mini | ofox | $0.72 | $0.40 | $1.60 | 1M |
| GPT-4.1 Mini | openai | $0.72 | $0.40 | $1.60 | 1M |
| OpenAI: GPT-4.1 Mini | openrouter | $0.72 | $0.40 | $1.60 | 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.