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Telnyx Inference GLM-5.3-Flash (upto/metered)
x402
Telnyx Inference GLM-5.3-Flash (upto/metered) is a paid API for AI agents from x402.telnyx.com, paid per call via x402, $0.043205/call, status unknown (last checked 2026-10-15).
OpenAI-compatible chat completions using ZAI's GLM-5.3-Flash model via Telnyx Inference, billed per-token up to a cap (upto scheme) for large-context workloads.
Price / call$0.043205
Success—
StatusUnknown
How this service works
Featured model. Chat completions via Telnyx Inference (zai-org/GLM-5.3-Flash), run at low reasoning effort for direct answers. max_tokens must be 512–2048 (omit it for the 1024-token default). OpenAI-compatible. $0.005783 USDC per call, or pay per-token via the upto scheme. (upto metered — large context)
Output
An OpenAI-compatible chat completion response containing the assistant's generated message, finish reason, and token usage counts (prompt tokens, completion tokens, total tokens). Returns exactly one completion (n=1) per call.
Example use cases
Agentic tool-use reasoning
“I need GLM-5.3-Flash on Telnyx to process this multi-turn conversation with tool definitions — it should pick the right tool call to look up a user's order status based on their last message.”
Low-cost Q&A for high-volume app
“My app needs to answer thousands of short user questions cheaply — use the Telnyx GLM-5.3-Flash endpoint with metered billing so I only pay for tokens actually consumed, and cap each response at 512 tokens.”
System-prompted content classifier
“Set up a system prompt that classifies customer feedback as 'positive', 'negative', or 'neutral', then run this batch of user messages through GLM-5.3-Flash on Telnyx and return the labels.”
Technical details
Endpoint
POSThttps://x402.telnyx.com/v1/chat/completions/_t/glm-5.3-flash/upto?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost chat completion with metered (per-token) billing on large-context workloads using GLM-5.3-Flash. Ideal for agentic pipelines that may have variable prompt sizes and want to avoid overpaying for short completions. Prefer over the flat-rate GLM route when context is large and unpredictable. The OpenAI-compatible interface makes it a drop-in replacement for existing OpenAI SDK integrations.
Side effects
- Payment failure or insufficient USDC balance — HTTP 402 returned before inference runs
- max_tokens out of range (must be 512–4096) — validation error
- messages array empty or malformed role/content — HTTP 400
- Model overloaded or unavailable — HTTP 503 or timeout
- Context too large (over 900,000 chars per message or 32 messages) — truncation or 400 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| n | integer | Fixed to one completion per paid call. |
| model | string | Model identifier; fixed to zai-org/GLM-5.3-Flash on this route. |
| tools | array | |
| messages | array | OpenAI-style chat messages. |
| max_tokens | integer | |
| temperature | number |
Tags
x402
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