Released 28 days after GLM 4.7 Β· All Z.ai releases
GLM 4.7 Flash is the efficiency-focused variant of the GLM-4.7 series, using a lean 30-billion-parameter architecture with only 3 billion active parameters so it can run on modest consumer hardware. Released January 2026, it carries the reasoning-density improvements of the GLM-4.7 family with MoE sparsity tuned for local inference, low-latency use, and cost-constrained production. Despite its smaller footprint, Flash keeps the interleaved thinking design, supporting visible or implicit chain-of-thought reasoning in structured responses. Its 200K context window supports extended coding sessions and multi-file reasoning, making it effective for code generation, terminal automation, and agentic development on edge devices or resource-limited clusters. Tuned for rapid inference, GLM 4.7 Flash scores competitively on coding benchmarks while avoiding the compute overhead of the full GLM-4.7. Released under an MIT license, it targets developers building local AI coding assistants, edge-based agents, and production systems where latency, throughput, and hardware efficiency shape user experience and cost.
GLM 4.7 Flash runs on 2 different routes through the qynio gateway. Compare residency, zero retention, and training posture at a glance β full data-handling detail per route below.
GLM 4.7 Flash runs on 2 independently monitored routes through the qynio gateway. A direct integration leaves you on one of them, the gateway serves whichever is healthy.
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.
Each route hosting GLM 4.7 Flash has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go β no action required. No training on customer data. US; unknown; deposit available.
Zero data retention is on by default on Pay-as-you-go β no action required. No training on customer data. US; wallets; deposit available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call GLM 4.7 Flash through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.QYN_API_KEY,baseURL: "https://api.qyn.io/v3/compat",});const completion = await client.chat.completions.create({model: "deepinfra/zai-org/GLM-4.7-Flash",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
Side-by-side on privacy, crypto rails, pricing, and benchmarks.
