glm-5-3
Text chat, coding, structured extraction, and tool calling.
Pricing: Input 16.776 credits / 1M tokens (≈ $0.08), Output 336 credits / 1M tokens (≈ $1.68).
Prices updated
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GLM-5.3 API
Call GLM-5.3 on ModelFold with model id glm-5-3.
What this model is for
Context window
1,048,576 tokens of context for longer conversations, document analysis, and code.
Text and coding
Text input and output for conversation, coding, summaries, and information extraction. This model does not accept images.
Reasoning and tools
Reasoning is always enabled; reasoning_effort accepts low, high, or max. Supports function calling.
Pricing
Billing follows token usage. At current prices, input is 16.776 credits per 1M tokens (about $0.084) and output is 336 credits per 1M tokens (about $1.68). Final charges follow actual token usage. Failed calls are not charged.
FAQ
What model id do I send?⌄
Send model glm-5-3 to POST https://modelfold.ai/v1/chat/completions with Authorization: Bearer YOUR_API_KEY and an OpenAI-style messages array. stream: true returns server-sent events.
Does it support tools?⌄
Yes. Pass tools and tool_choice as in OpenAI Chat Completions. The model returns tool arguments; your application runs the tool and sends back its result.
| Input | 16.776 credits 1M tokens≈ $0.08 |
| Cached input | 16.536 credits 1M tokens≈ $0.08 |
| Output | 336 credits 1M tokens≈ $1.68 |
Billed per token: input and output are priced separately, and thinking tokens count as output. The Playground charges exactly the same way.
Read API docs →AI Agents · Claude Code / Cursor / Trae →curl https://modelfold.ai/v1/chat/completions \
-H "Authorization: Bearer $MODELFOLD_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"glm-5-3","messages":[{"role":"user","content":"Hello"}]}'