Z.ai • LLM
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
Context Window
203K tokens
Input Price/1M
$0.06
Output Price/1M
$0.40
Parameters
—
Speed
179 tok/s
Latency (TTFT)
1ms
Z.ai: GLM 4.7 Flash results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 25.9 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 30.1 | 100.0 | Artificial Analysis official API |
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 58.1 | 100.0 | Artificial Analysis official API |
Z.ai: GLM 4.7 Flash is an AI model developed by Z.ai, classified as a large language model (LLM). It focuses on text processing and natural language generation. As an open source model, it is available for download, customization, and on-premises deployment. With a context window of 203K tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Z.ai: GLM 4.7 Flash is usage-based, priced at $0.06/1M input tokens and $0.4/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.
Z.ai: GLM 4.7 Flash was evaluated on 3 different benchmarks, covering categories like Coding, overall, Reasoning. Results show moderate performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Z.ai: GLM 4.7 Flash is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), high-volume chatbots and automated support, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
In the 2026 AI model ecosystem, Z.ai: GLM 4.7 Flash competes directly with similarly capable models. Z.ai competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
Z.ai: GLM 4.7 Flash costs $0.06/1M input tokens and $0.4/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
In available benchmarks, Z.ai: GLM 4.7 Flash scored: AA Coding Index: 25.9/100, AA Intelligence Index: 30.1/100, GPQA Diamond: 58.1/100. See the full table above for a detailed comparison.
Yes, Z.ai: GLM 4.7 Flash is an open source model. You can deploy it on-premises, customize it via fine-tuning, and maintain full control over your data. Check the official repository for the specific license.
Z.ai: GLM 4.7 Flash excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: May 15, 2026 • View methodology →