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: Qwen3.5 27B ×
| Model | Provider | Your cost/mo, $ | Input, $ | Output, $ | Context |
|---|---|---|---|---|---|
| Qwen3.5 27B | aihubmix | $0.22 | $0.0846 | $0.68 | 262K |
| Qwen3.5 27B | empiriolabs | $0.22 | $0.086 | $0.69 | 258K |
| Qwen3.5 27B | orcarouter | $0.22 | $0.086 | $0.69 | 262K |
| Qwen/Qwen3.5-27B | siliconflow-cn | $0.23 | $0.08967 | $0.72 | 262K |
| Qwen3.5 27B | moark | $0.23 | $0.08992 | $0.72 | — |
| Qwen3.5 27B | edenai via Alibaba Cloud | $0.51 | $0.20 | $1.56 | 262K |
| Qwen: Qwen3.5-27B | kilo | $0.51 | $0.20 | $1.56 | 262K |
| Qwen3.5 27B | requesty via DeepInfra | $0.62 | $0.21 | $2.08 | 262K |
| Qwen3.5 27B | siliconflow | $0.65 | $0.25 | $2.00 | 262K |
| Qwen3.5 27B | ofox | $0.70 | $0.29 | $2.05 | 256K |
| Qwen: Qwen3.5-27B | trustedrouter | $0.73 | $0.27 | $2.28 | 262K |
| Qwen3.5 27B | deepinfra | $0.78 | $0.26 | $2.60 | 262K |
| Qwen3.5 27B | edenai via DeepInfra | $0.78 | $0.26 | $2.60 | 262K |
| Qwen: Qwen3.5 27B | fastrouter | $0.78 | $0.26 | $2.60 | 262K |
| Qwen3.5 27B | huggingface | $0.78 | $0.30 | $2.40 | 262K |
| Qwen3.5 27B | jiekou | $0.78 | $0.30 | $2.40 | — |
| Qwen3.5 27B | mixlayer | $0.78 | $0.30 | $2.40 | 262K |
| Qwen3.5 27B | novita | $0.78 | $0.30 | $2.40 | 262K |
| Qwen: Qwen3.5-27B | openrouter | $0.78 | $0.26 | $2.60 | 262K |
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.