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-5.3 ×
| Model | Provider | Your cost/mo, $ | Input, $ | Output, $ | Context |
|---|---|---|---|---|---|
| GLM-5.3 | edenai via CompactifAI | $0.33 | $0.20 | $0.64 | — |
| GLM-5.3 | edenai via CompactifAI | $0.33 | $0.20 | $0.64 | — |
| Z.ai: GLM 5.3 | trustedrouter | $0.51 | $0.19 | $1.58 | 1M |
| GLM-5.3 | wafer.ai | $0.56 | $0.20 | $1.80 | 1M |
| Z.ai: GLM 5.3 (batch) | openrouter | $0.85 | $0.45 | $2.00 | 1M |
| GLM-5.3 | cortecs | $0.92 | $0.51 | $2.05 | 1M |
| GLM-5.3 | kenari | $0.94 | $0.28 | $3.31 | 1M |
| Z.ai: GLM-5.3 | fastrouter | $1.05 | $0.56 | $2.48 | 1M |
| GLM-5.3 | deepinfra | $1.06 | $0.56 | $2.50 | — |
| GLM-5.3 | vultr | $1.35 | $0.75 | $3.00 | 1M |
| GLM-5.3 | iteracompute | $1.40 | $0.82 | $2.88 | — |
| GLM 5.3 Flex | neuralwatt | $1.53 | $0.94 | $2.92 | 1M |
| GLM-5.3 | deepinfra | $1.70 | $0.90 | $4.00 | 1M |
| GLM-5.3 | huggingface | $1.70 | $0.90 | $4.00 | 1M |
| GLM-5.3 | melious | $1.79 | $1.12 | $3.35 | — |
| GLM-5.3 | aiand | $1.80 | $1.00 | $4.00 | 1M |
| GLM-5.3 | requesty via Melious | $1.82 | $1.14 | $3.42 | 1M |
| GLM-5.3 | cometapi | $1.83 | $1.12 | $3.53 | — |
| GLM-5.3 | aki-io | $1.91 | $1.12 | $3.93 | 524K |
| GLM 5.3 | aihubmix | $1.92 | $1.13 | $3.94 | 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.