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: GLM-5.1 ×
| Model | Provider | Your cost/mo, $ | Input, $ | Output, $ | Context |
|---|---|---|---|---|---|
| GLM-5.1 | requesty via DeepInfra | $1.40 | $0.84 | $2.80 | 203K |
| GLM 5.1 TEE | chutes | $1.48 | $0.90 | $2.90 | 203K |
| GLM-5.1 | edenai via Alibaba Cloud | $1.48 | $0.91 | $2.86 | 203K |
| GLM 5.1 | empiriolabs | $1.49 | $0.82 | $3.30 | 203K |
| GLM 5.1 | aihubmix | $1.52 | $0.84 | $3.38 | 200K |
| Z.ai: GLM 5.1 | trustedrouter | $1.56 | $0.95 | $3.06 | 203K |
| GLM 5.1 | zenmux | $1.58 | $0.88 | $3.51 | 200K |
| GLM-5.1 | zhipuai | $1.61 | $0.90 | $3.59 | 200K |
| glm-5.1 | ollama-cloud | $1.64 | $1.00 | $3.20 | 203K |
| GLM-5.1 | wafer.ai | $1.64 | $1.00 | $3.20 | 203K |
| GLM-5.1 | deepinfra | $1.75 | $1.05 | $3.50 | 203K |
| GLM-5.1 | edenai via DeepInfra | $1.75 | $1.05 | $3.50 | 203K |
| Z.ai: GLM 5.1 | fastrouter | $1.75 | $1.05 | $3.50 | 203K |
| GLM-5.1 | huggingface | $1.75 | $1.05 | $3.50 | 203K |
| GLM-5.1 | meganova | $1.75 | $1.05 | $3.50 | 203K |
| GLM-5.1 | cometapi | $1.83 | $1.12 | $3.53 | — |
| GLM-5.1 | siliconflow | $1.94 | $1.19 | $3.74 | — |
| GLM-5.1 | iteracompute | $2.01 | $1.18 | $4.17 | — |
| GLM-5.1 | moark | $2.04 | $1.20 | $4.20 | — |
| GLM 5.1 | baseten | $2.16 | $1.30 | $4.30 | 203K |
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.