AI Rate Card

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.

ModelProviderYour cost/mo, $Input, $Output, $Context
Llama 3.2 1B Instructdeepinfra$0.007$0.005$0.01131K
DeepSeek R1 Distill Llama 8Baihubmix$0.012$0.01$0.01—
DeepSeek R1 Distill Qwen 1.5baihubmix$0.012$0.01$0.01—
DeepSeek R1 Distill Qwen 7Baihubmix$0.012$0.01$0.01—
Ternary Bonsai 27Btrustedrouter via Together$0.012$0.01$0.01—
TrustedRouter Cheaptrustedrouter via TrustedRouter$0.012$0.01$0.01128K
TrustedRouter EUtrustedrouter via TrustedRouter$0.012$0.01$0.01200K
monitortrustedrouter via TrustedRouter$0.012$0.01$0.01—
baseten-joey-2b-latesttrustedrouter via Baseten$0.01255$0.01055$0.01—
UAE-Large-V1aiml$0.0132$0.011$0.011—
Google Gemma 2helicone$0.016$0.01$0.038K
Qwen2.5-Coder-3B-Instructhuggingface$0.016$0.01$0.0333K
Qwen2.5-Coder 7B Instructhuggingface$0.016$0.01$0.03131K
Qwen3 4B Instructhuggingface$0.016$0.01$0.03262K
Qwen3 4Bhuggingface$0.016$0.01$0.03262K
Qwen2.5-Coder-3B-Instructtrustedrouter via Nscale$0.01688$0.01055$0.03165—
Qwen2.5-Coder 7B Instructtrustedrouter via Nscale$0.01688$0.01055$0.03165—
trustedtrustedrouter via TrustedRouter$0.01688$0.01055$0.03165—
GPT OSS 20Bedenai via Greenference$0.018$0.009$0.045131K
Gemma 4 31B ITinferx$0.018$0.011$0.035—

All 4336 in Models

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.