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: Qwen3.5 Plus ×
| Model | Provider | Your cost/mo, $ | Input, $ | Output, $ | Context |
|---|---|---|---|---|---|
| Qwen3.5 Plus | aihubmix | $0.24 | $0.11 | $0.66 | 1M |
| Qwen3.5 Plus (Variant 1) | empiriolabs | $0.25 | $0.12 | $0.69 | 984K |
| Qwen3.5 Plus | 302ai | $0.26 | $0.12 | $0.69 | 1M |
| Qwen3.5 Plus | moark | $0.26 | $0.12 | $0.72 | — |
| Qwen3.5 Plus | opencode | $0.44 | $0.20 | $1.20 | 262K |
| Qwen3.5 Plus | edenai via Alibaba Cloud | $0.57 | $0.26 | $1.56 | 1M |
| Qwen: Qwen3.5 Plus 2026-04-20 | kilo | $0.66 | $0.30 | $1.80 | 1M |
| Qwen: Qwen3.5 Plus 2026-04-20 | openrouter | $0.66 | $0.30 | $1.80 | 1M |
| Qwen3.5 Plus | empiriolabs | $0.80 | $0.36 | $2.21 | 984K |
| Qwen3.5 Plus | aiml | $0.88 | $0.40 | $2.40 | — |
| Qwen3.5 Plus | jiekou | $0.88 | $0.40 | $2.40 | — |
| Qwen3.5-Plus | meganova | $0.88 | $0.40 | $2.40 | 1M |
| Qwen3.5 Plus | ofox | $0.88 | $0.40 | $2.40 | 1M |
| Qwen3.5 Plus | orcarouter | $0.88 | $0.40 | $2.40 | 1M |
| Qwen 3.5 Plus | vercel | $0.88 | $0.40 | $2.40 | 1M |
| Qwen3.5 Plus | zenmux | $0.88 | $0.40 | $2.40 | 1M |
| Qwen3.5 Plus | trustedrouter | $0.93 | $0.42 | $2.53 | 1M |
| Qwen3.5 Plus | alibaba-coding-plan-cn | — | No data | No data | 1M |
| Qwen3.5 Plus | alibaba-coding-plan | — | No data | No data | 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.