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: Kimi K3 ×
| Model | Provider | Your cost/mo, $ | Input, $ | Output, $ | Context |
|---|---|---|---|---|---|
| Coding Kimi K3 | aihubmix | $0.76 | $0.44 | $1.61 | 1M |
| MoonshotAI: Kimi K3 | trustedrouter | $2.53 | $0.53 | $10.02 | 1M |
| Kimi K3 | kenari | $3.14 | $1.05 | $10.48 | 1M |
| Kimi K3 | wafer.ai | $3.60 | $0.60 | $15.00 | 1M |
| Kimi K3 TEE | chutes | $3.75 | $1.85 | $9.50 | 1M |
| Kimi K3 | edenai via Alibaba Cloud | $3.90 | $1.95 | $9.75 | 1M |
| Kimi K3 Flex | neuralwatt | $3.90 | $1.95 | $9.75 | 1M |
| MoonshotAI: Kimi K3 (batch) | openrouter | $4.56 | $2.28 | $11.40 | 1M |
| Kimi K3 | iteracompute | $4.70 | $2.35 | $11.76 | — |
| Kimi K3 | cometapi | $4.80 | $2.40 | $12.00 | — |
| MoonshotAI: Kimi K3 | fastrouter | $5.40 | $2.70 | $13.50 | 1M |
| Kimi K3 | siliconflow | $5.40 | $2.70 | $13.50 | — |
| Kimi K3 | wallaby | $5.40 | $2.70 | $13.50 | — |
| Kimi K3 | aiand | $5.50 | $3.00 | $12.50 | 1M |
| Kimi K3 | aihubmix | $5.68 | $2.84 | $14.20 | 1M |
| Kimi K3 | deepinfra | $5.70 | $2.85 | $14.25 | — |
| Kimi K3 | edenai via DeepInfra | $5.70 | $2.85 | $14.25 | 1M |
| Kimi K3 | huggingface | $5.70 | $2.85 | $14.25 | 1M |
| MoonshotAI: Kimi K3 | io-net | $5.98 | $2.52 | $17.26 | 1M |
| Kimi K3 | moark | $5.99 | $3.00 | $14.99 | 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.