GLM 4.7 Flash - Kyma API

Overview

Created by Zhipu, GLM 4.7 Flash is an efficient language model that handles up to 203,000 input tokens and generates up to 65,536 output tokens. It operates in the cheap cost and fast speed tiers on Kyma. The model supports tool calling, reasoning, and structured outputs, and runs on Kyma’s OpenAI-compatible API. Prompt caching is available, billing repeated prefixes at this model’s cached input rate. Every response includes exact token costs in the usage.cost field, and the X-Kyma-Model header confirms the active model. It processes text only and does not support vision or multimodal inputs. While optimized for speed and cost efficiency, it sits in the efficient quality tier, so highly complex analytical tasks may require a higher-tier alternative.

Specs

Field	Value
Model ID	`glm-4.7-flash`
Best for	Cheap long context, bulk
Context window	203,000
Max output tokens	66K
Input modalities	Text
Output modalities	Text
Tool calling	Yes
Structured outputs	Yes
Prompt caching	Yes
Speed	Fast
Cost band	Cheap
Release stage	Preview

Pricing

	Per 1M tokens
Input	$0.08
Output	$0.54

Use this when

Bulk Document Processing — Parse and summarize large text files quickly at low cost.
High-Volume Chat Routing — Handle thousands of concurrent conversational requests with fast response times.
Automated Tool Execution — Run structured workflows and function calling across long conversation histories.
Log Analysis Pipelines — Ingest and categorize extensive text logs using structured JSON outputs.

Not ideal for

Do not use this model for tasks requiring image understanding, advanced creative writing, or highly complex multi-step reasoning where maximum accuracy is critical.

Pick something else when

You need higher accuracy for complex analytical tasks: use qwen-3.7-max.
You require deep step-by-step logical analysis: use deepseek-r1.
You need multimodal input processing: use gpt-5.6-terra.

Example

from openai import OpenAI

client = OpenAI(base_url="https://kymaapi.com/v1", api_key="ky-...")

response = client.chat.completions.create(
    model="glm-4.7-flash",
    messages=[{"role": "user", "content": "..."}],
    tools=[...],  # function calling supported
)

Agent query example

Ask the API which models fit, instead of hardcoding an id:

curl "https://kymaapi.com/v1/models?recommended_for=chat&tools=true&quality_tier=efficient"

FAQ

Does this model support image inputs? No, GLM 4.7 Flash is a text-only model. Use a multimodal model if you need to process images. How does prompt caching affect my costs? Kyma bills cached prompt prefixes at this model’s cached input rate, which significantly reduces costs for repeated system prompts or long conversation histories. What happens if the serving path degrades during a request? Kyma automatically reroutes the request to a healthy serving path, ensuring your application maintains a high success rate without manual intervention.

​Overview

​Specs

​Pricing

​Use this when

​Not ideal for

​Pick something else when

​Example

​Agent query example

​FAQ