GLM 4.7
VerifiedGLM 4.7 handles extended text contexts with precision.
About GLM 4.7
GLM 4.7 follows the transformer architecture typical of modern LLMs. Its design emphasizes efficient processing of lengthy documents while remaining a proprietary system not available as open weights. The absence of disclosed parameter counts keeps focus on its functional capabilities rather than scale metrics.
Strengths center on sustained context retention across extended interactions. Users benefit from consistent performance when working with technical reports, codebases, or multi-turn conversations that exceed standard limits. This makes it suitable for professional environments requiring reliable text analysis without external fine-tuning access.
Capabilities
How GLM 4.7 compares
GLM 4.7 (striped bar) vs other language models on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · GLM 4.7 ranks #25 of 34
Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document Summarization
GLM 4.7 processes extensive texts up to its full context length in a single pass, enabling accurate summarization of research papers, legal contracts, or technical manuals without chunking.
Extended Multi-Turn Conversations
The model maintains coherence across very long dialogues, supporting ongoing projects like iterative code development or detailed planning sessions that span thousands of exchanges.
Large-Scale Codebase Analysis
With its 202752-token context, GLM 4.7 can review entire repositories or complex codebases to identify patterns, bugs, or suggest refactors in one query.
Strengths & limitations
Strengths
- +Very large context window support
- +Strong Chinese-English bilingual performance
- +Effective at structured reasoning tasks
Limitations
- –Text-only modality
- –Less mature ecosystem outside Chinese markets
- –Potential training data biases
Cost calculator
Estimate what GLM 4.7 would cost for your usage.
Based on GLM 4.7's $0.40/1M input · $1.75/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "z-ai/glm-4.7",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: z-ai/glm-4.7
Editor's verdict
GLM 4.7 is Z.AI's proprietary language models with a 203K-token context window.
At $1.75 per 1M output tokens, it is mid-priced for its class.
It is available through Z.AI's API and aggregators like OpenRouter.
Best suited to very large context window support and strong chinese-english bilingual performance.
Frequently asked questions
Specific pricing details for GLM 4.7 are not listed in the available model information.
User reviews
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