GLM 4.6
GLM 4.6 is a text generation model from Z.ai with a 200,000-token context window and configurable reasoning effort.
Z.ai
DeepInfraLong-context text generation with adjustable reasoning
GLM 4.6 is a large language model developed by Z.ai (formerly Zhipu AI) and released in September 2025. It is a chat-oriented text generation model hosted via DeepInfra and supports a context window of up to 200,000 tokens, making it suitable for tasks that require processing long documents or extended conversations. The model exposes a reasoning effort toggle, allowing users to adjust how much computational effort the model applies to a given query.
GLM 4.6 is part of Z.ai's GLM (General Language Model) series, which has been developed with a focus on bilingual Chinese and English language understanding. The model generates responses up to 16,384 tokens in length, which accommodates detailed outputs such as long-form writing, summarization of large documents, and multi-step reasoning tasks. Its configurable reasoning effort input makes it adaptable to workflows where response depth or latency trade-offs matter.
What GLM 4.6 supports
Long Context Window
Processes inputs up to 200,000 tokens, enabling analysis of lengthy documents, codebases, or extended conversation histories in a single pass.
Adjustable Reasoning
Exposes a reasoning effort toggle that lets users control how deeply the model reasons before responding, useful for balancing speed against answer quality.
Long-Form Text Output
Generates responses up to 16,384 tokens, supporting detailed outputs such as reports, summaries, and multi-step explanations.
Bilingual Language Support
Built on Z.ai's GLM series with a focus on both Chinese and English, making it well-suited for bilingual tasks and cross-language content generation.
Chat-Oriented Generation
Designed for conversational use cases with a chat model architecture, supporting multi-turn dialogue and instruction-following interactions.
Ready to build with GLM 4.6?
Get Started FreeBenchmark scores
Scores represent accuracy — the percentage of questions answered correctly on each test.
| Benchmark | What it tests | Score |
|---|---|---|
| MMLU-Pro | Expert knowledge across 14 academic disciplines | 78.4% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 63.2% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 56.1% |
| HLE | Questions that challenge frontier models across many domains | 5.2% |
| SciCode | Scientific research coding and numerical methods | 33.1% |
Common questions about GLM 4.6
What is the context window size for GLM 4.6?
GLM 4.6 supports a context window of 200,000 tokens, allowing it to process very long documents or extended conversations in a single request.
What is the maximum response length GLM 4.6 can generate?
The model can generate responses up to 16,384 tokens in length per request.
What does the reasoning effort toggle do?
The reasoning effort input is a configurable toggle that adjusts how much reasoning the model applies before producing a response. Setting it higher may improve answer quality on complex tasks, while lower settings can reduce latency.
Who developed GLM 4.6 and when was it released?
GLM 4.6 was developed by Z.ai (formerly known as Zhipu AI) and released in September 2025. It is part of the GLM (General Language Model) series.
Does GLM 4.6 support image or video inputs?
Based on the available metadata, GLM 4.6 does not have confirmed support for image or video analysis inputs. It is a text generation model.
Is pricing information available for GLM 4.6?
Published pricing for GLM 4.6 is not listed in the current metadata. You can use the model on MindStudio without managing API keys directly.
What people think about GLM 4.6
Community reception on r/LocalLLaMA has been broadly positive, with the GLM-4.6 announcement post receiving over 400 upvotes and 81 comments. Users have highlighted its large context window, open-weight availability under the MIT license, and performance on coding and agentic tasks as notable strengths.
A separate thread about the GLM-4.6-Air variant attracted over 600 upvotes, suggesting interest in lighter deployable versions of the model. Discussions also reference the subsequent GLM-4.7 release, indicating an active development cadence that some users follow closely for local deployment use cases.
Documentation & links
Parameters & options
Explore similar models
Z.aiGLM-5.2
GLM-5.2 is a text generation model from Z.ai with a 1,048,576-token context window and up to 128,000 token responses.
Z.aiGLM 5.1
GLM 5.1 is a text generation model from Z.ai with a 200,000-token context window and configurable reasoning effort.
Z.aiGLM 5
GLM 5 is a text generation model from Z.ai with a 200,000-token context window and configurable reasoning effort.
OpenAIGPT 5.6 Luna
GPT 5.6 Luna is a text and image-input model from OpenAI with a 1,050,000-token context window.
DeepSeekDeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 is a text generation model from DeepSeek with a 1,048,576-token context window and configurable reasoning effort.
GoogleGemini 3.7 Flash
Gemini 3.7 Flash is a text generation model from Google with a 1,048,576-token context window and configurable thinking levels.
Z.aiGLM 4.6V
GLM 4.6V is a multimodal text generation model from Z.ai with a 131,072 token context window and configurable reasoning effort.
Start building with GLM 4.6
No API keys required. Create AI-powered workflows with GLM 4.6 in minutes — free.