Model detail
GLM-4.6
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks. Superior coding performance: The model achieves higher scores on code benchmarks and demonstrates better real-world performance in applications such as Claude Code、Cline、Roo Code and Kilo Code, including improvements in generating visually polished front-end pages. Advanced reasoning: GLM-4.6 shows a clear improvement in reasoning performance and supports tool use during inference, leading to stronger overall capability. More capable agents: GLM-4.6 exhibits stronger performance in tool using and search-based agents, and integrates more effectively within agent frameworks. Refined writing: Better aligns with human preferences in style and readability, and performs more naturally in role-playing scenarios.
Model specs
- Model ID
-
glm-4.6
- Context length
- 204.8K
- Max output
- 131.072K
- I/O modalities
- Released
- 2025-09
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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?
Compared with GLM-4.5, this generation brings several key improvements: Longer context
Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex agentic tasks.
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: 2025-03-31. Released 2025-09-30.
Why use it through MixRoute?
Drop-in via OpenAI-compatible endpoint on MixRoute
Set the model parameter to "glm-4.6" 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-4.6 supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
GLM-4.6 can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
GLM-4.6 supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
GLM-4.6 supports prompt caching under supported routing conditions.
OpenAI SDK
Call GLM-4.6 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-4.6 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.