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GLM 5.3 vs Grok 4.7

glm-5.3-flash · grok-4.7

Both GLM 5.3 and Grok 4.7 are accessible through a single Newton’s API key using standard OpenAI SDKs.

Get API Key for Both Models →GLM 5.3 SpecsGrok 4.7 Specs

Side-by-Side API Pricing & Specs

Live per-million-token pricing served through Newton’s unified OpenAI-compatible gateway.

MetricZhipu AI: GLM 5.3xAI: Grok 4.7
API Model IDglm-5.3-flashgrok-4.7
Provider LabZhipu AIxAI
Gateway StatusCatalogCatalog
Input / 1M tokens——
Cached Input / 1M tokens——
Output / 1M tokens——
Context Window128K+128K+

Real-World Engineering Workload Cost

Estimated spend for typical coding and autonomous agent workloads based on published per-token rates:

GLM 5.3 · 10M In + 2M Out—
Grok 4.7 · 10M In + 2M Out—
Billing ModelPrepaid · $0 Hard Stop

When to Route to GLM 5.3 vs Grok 4.7

Because Newton’s exposes both glm-5.3-flash and grok-4.7 behind the same API key and base URL, engineering teams frequently combine both models in the same workflow:

  • Primary Planning & ArchitectureGLM 5.3 (glm-5.3-flash)
  • High-Volume Execution & VerificationGrok 4.7 (grok-4.7)
  • Interactive Cost SimulatorOpen Token Calculator →

Switch Between Both Models With One API Key

Point the official OpenAI SDK, Cursor, or Claude Code at https://newtons.dev/api/v1 and swap the model string on demand:

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.NEWTONS_API_KEY,
  baseURL: "https://newtons.dev/api/v1",
});

// Switch between GLM 5.3 and Grok 4.7 with 1 line:
const response = await client.chat.completions.create({
  model: "glm-5.3-flash", // or "grok-4.7"
  messages: [{ role: "user", content: "Compare architecture trade-offs." }],
});

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