Model detail
GLM-4.7
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution. It demonstrates significant improvements in executing complex agent tasks while delivering more natural conversational experiences and superior front-end aesthetics.
Model specs
- Model ID
-
glm-4.7
- Context length
- 204.8K
- Max output
- 131.072K
- I/O modalities
- Released
- 2025-12
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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
$0.6000 /1M Tokens
Completion
$2.2000 /1M Tokens
Cache read
$0.1100 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming
GLM-4.7 is Z.ai’s latest flagship model, featuring upgrades in two key areas: enhanced programming capabilities and more stable multi-step reasoning/execution.
What should you check before using it?
204,800 context, 131,072 output tokens
GLM model that supports reasoning, tool calling, structured output, streaming, prompt caching and the OpenAI SDK. Knowledge cutoff: 2025-04. Released 2025-12-22.
Why use it through MixRoute?
Drop-in via OpenAI-compatible endpoint on MixRoute
Set the model parameter to "glm-4.7" and use your MixRoute API key. Compatible with OpenAI SDK and standard tool-calling patterns.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
GLM-4.7 supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
GLM-4.7 can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
GLM-4.7 supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
GLM-4.7 supports prompt caching under supported routing conditions.
OpenAI SDK
Call GLM-4.7 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
Share of the same prefix read repeatedly, up to 100%
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FAQ
GLM-4.7 supports context caching, which can significantly reduce latency and cost for repeated prefixes. Stable content such as system prompts and tool definitions benefits most.
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.