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: GLM-5.2 ×
| Model | Provider | Your cost/mo, $ | Input, $ | Output, $ | Context |
|---|---|---|---|---|---|
| GLM-5.2 | edenai via CompactifAI | $0.28 | $0.17 | $0.54 | — |
| GLM-5.2 | edenai via CompactifAI | $0.28 | $0.17 | $0.54 | — |
| Z.ai: GLM 5.2 | trustedrouter | $0.68 | $0.36 | $1.58 | 1M |
| GLM-5.2 | iteracompute | $0.87 | $0.53 | $1.72 | — |
| Z.ai: GLM 5.2 | fastrouter | $0.92 | $0.56 | $1.80 | 1M |
| GLM 5.2 | standardcompute | $0.92 | $0.56 | $1.80 | 1M |
| GLM-5.2 | deepinfra | $0.92 | $0.56 | $1.80 | — |
| GLM-5.2 | kenari | $0.94 | $0.28 | $3.31 | 1M |
| GLM-5.2 | requesty via DeepInfra | $0.98 | $0.60 | $1.92 | 1M |
| GLM 5.2 | ambient | $1.00 | $0.60 | $2.00 | 203K |
| GLM-5.2 | wafer.ai | $1.07 | $0.19 | $4.40 | 1M |
| GLM-5.2 | deepinfra | $1.23 | $0.75 | $2.40 | 1M |
| GLM-5.2 | huggingface | $1.23 | $0.75 | $2.40 | 1M |
| GLM-5.2 | vultr | $1.35 | $0.75 | $3.00 | 1M |
| GLM 5.2 | lilac | $1.50 | $0.90 | $3.00 | 524K |
| GLM 5.2 Flex | neuralwatt | $1.53 | $0.94 | $2.92 | 1M |
| GLM-5.2 | cortecs | $1.55 | $0.90 | $3.25 | 1M |
| GLM-5.2 | meganova | $1.60 | $1.00 | $3.00 | 1M |
| zai-org/glm-5.2 | aiand | $1.80 | $1.00 | $4.00 | 1M |
| GLM-5.2 | cometapi | $1.83 | $1.12 | $3.53 | — |
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.