GLM 4.7 Flash

Name: GLM 4.7 Flash
Author: Zhipu AI

by Zhipu AIGLM

Open WeightModel weights are publicly available — can be downloaded and self-hostedAPIAvailable through a hosted API — pay per token, no self-hosting required

Released January 2026203K context≈ 152,064 words

GLM 4.7 Flash is a lightweight, fast-responding text model that prioritizes speed and efficiency over depth. It handles everyday language tasks — summarization, Q&A, drafting — with low latency, making it practical for high-throughput or resource-constrained environments. Complex multi-step reasoning may push its limits, but for quick, straightforward text work it moves briskly.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Tool Use

Moderate

Multilingual

GLM 4.7 Flash

by Zhipu AIGLM

Open WeightModel weights are publicly available — can be downloaded and self-hostedAPIAvailable through a hosted API — pay per token, no self-hosting required

Released January 2026203K context≈ 152,064 words

GLM 4.7 Flash is a lightweight, fast-responding text model that prioritizes speed and efficiency over depth. It handles everyday language tasks — summarization, Q&A, drafting — with low latency, making it practical for high-throughput or resource-constrained environments. Complex multi-step reasoning may push its limits, but for quick, straightforward text work it moves briskly.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Tool Use

Moderate

Multilingual

Glossary

LatencyThe time delay between sending a request and receiving the first response token from a model.Low LatencyThe ability to generate responses very quickly with minimal delay between when you send a prompt and when you receive an answer.Multi-Step ReasoningThe ability to break down complex problems into smaller steps and solve them sequentially, rather than jumping directly to an answer.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Resource-ConstrainedHardware with limited memory, processing power, or battery life, requiring models to be optimized for efficiency.Text ModelA language model that processes and generates only text, without support for images, audio, or other media types.ThroughputThe number of tokens a model can generate per second, measuring its processing speed.

Capabilities

Capabilities

Use Case Fit

Glossary