GPT-4.1 Nano vs GLM-5.2

GPT-4.1 Nano and GLM-5.2 come from different camps — OpenAI versus Zhipu AI — and they split most sharply on price and context. GPT-4.1 Nano runs at $0.10/$0.40 per 1M tokens with a 1M window; GLM-5.2 sits at $1.40/$4.40 with 1M of context. Neither is objectively "better" — the right pick depends on what you're shipping.

In practice: The cheapest OpenAI model. Excellent for classification, extraction, and simple tasks at scale. Zhipu's open-weight coding flagship. A 753B-parameter MoE with 1M context and MIT weights — the strongest open-weight coding model of 2026 at $1.40/$4.40. Both ship through AI API Hub on an OpenAI-compatible endpoint, so you can move between them by changing a single model name — and settle the bill with USDT or USDC, no credit card required.

On cost alone, GPT-4.1 Nano is the cheaper of the two (Save $1.30 per 1M input), which adds up fast once real traffic hits. Use the calculator below to model your own volume.

→If you are building a coding-heavy AI agent → GLM-5.2 is preferred.

→If your workload involves long document reasoning or multi-step instruction following → GPT-4.1 Nano performs better with its 1M context.

→If cost is your primary constraint → GPT-4.1 Nano provides ~93% lower cost per 1M tokens.

→If you need function-calling AI agents → both support tool use; choose GPT-4.1 Nano for higher-volume cost efficiency.

On performance, GPT-4.1 Nano leans into ultra-low cost and pairs it with 1M of context — enough for ultra-low cost and 1m context. GLM-5.2 answers with open-weight (mit) across 1M, which makes it the stronger fit when you need open-weight (mit) and repo-scale coding. The gap is real, but it's a question of fit rather than dominance.

Pricing is where they part ways. At $0.10/$0.40 versus $1.40/$4.40 per 1M tokens, GPT-4.1 Nano is the clear budget pick. Run a typical workload of 1M requests/month at ~1K input / 500 output tokens and GPT-4.1 Nano keeps roughly $3300.00/month in your pocket.

Our take: if cost efficiency drives the decision, GPT-4.1 Nano wins. Either way, both run through AI API Hub with USDT/USDC payments and instant activation — start with $5 and one API key covers every model.

Since both GPT-4.1 Nano and GLM-5.2 are available through AI API Hub with OpenAI-compatible API format, switching between them requires only changing the model name parameter. Your existing SDK code works without modification.

from openai import OpenAI
client = OpenAI(api_key="YOUR_KEY", base_url="https://api.apiyihe.org/v1")
# Before: response = client.chat.completions.create(model="gpt-4.1-nano", messages=[...])
# After:  response = client.chat.completions.create(model="glm-5.2", messages=[...])

import OpenAI from "openai";
const client = new OpenAI({apiKey: process.env.KEY, baseURL: "https://api.apiyihe.org/v1"});
// Before: model: "gpt-4.1-nano"
// After:  model: "glm-5.2"

curl https://api.apiyihe.org/v1/chat/completions \
  -H "Authorization: Bearer YOUR_KEY" \
  -d '{"model": "glm-5.2", "messages": [{"role":"user","content":"Hello"}]}'

💡 AI API Hub supports both models through one API key. No separate accounts needed. Pay with USDT/USDC for all models.