Model detail
GLM-4-FLASH
Zhipu's free GLM-4 language-model family supports conversational responses and general text-generation workloads.
Model specs
- Model ID
-
glm-4-flash
- Context length
- 128K
- Max output
- 4.095K
- I/O modalities
- Released
- 2026-10
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$0.0000 /1M Tokens
Completion
$0.0000 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Zhipu's free GLM-4 language-model family supports conversational responses
Zhipu's free GLM-4 language-model family supports conversational responses and general text-generation workloads.
What should you check before using it?
128,000 context, 4,095 output tokens
GLM model that supports tool calling and structured output.
Why use it through MixRoute?
Swap the base URL, keep the GLM-4-FLASH client
MixRoute serves GLM-4-FLASH on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID glm-4-flash and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
GLM-4-FLASH supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
GLM-4-FLASH can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
GLM-4-FLASH supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
OpenAI SDK
Call GLM-4-FLASH through MixRoute's OpenAI-compatible endpoint.
base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
This model has no cache-read price; caching is not counted
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FAQ
Before switching production traffic to GLM-4-FLASH, run a pilot on a representative slice of your traffic and check output quality, latency at peak concurrency, and cost per request. Verify the error and retry behaviour, and confirm the request limits you depend on match your plan.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.