I Tested $0.05 AI vs $0.32 AI

OpenAI and Anthropic charged me 32 cents each. GLM 5.1 and Kimi K2.6 did the exact same job for just 5 cents. That's a 6x price difference — and the quality was just as good.
I tested all 4 models with one prompt, and the cost breakdown will shock you.

I ran an identical prompt — build a real-time world weather dashboard in a single HTML file — across four models at once using OpenRouter: GLM 5.1, Kimi K2.6, GPT 5.4, and Claude Opus 4.6. All four produced working dashboards with live animations and dark themes. But the token consumption, reasoning speed, and API cost told a completely different story. Chinese open-source models are quietly outpricing the closed-source giants while matching them in output quality.

⏱️ TIMESTAMPS
0:00 Intro — real-time weather dashboard built by GLM 5.1 (demo)
0:31 The cost shock — 32 cents vs 5 cents for the same task
0:59 The prompt used for all 4 models
1:54 What we're comparing: GLM 5.1, Kimi K2.6, GPT 5.4, Claude Opus 4.6
2:28 OpenRouter pricing breakdown
3:07 Side-by-side model comparison in OpenRouter
3:57 Why Chinese open-source models are winning
4:39 Setting up the 4-model live test
5:24 The prompt: real-time weather dashboard, single HTML, no API key
5:57 Live generation — who reasons fastest?
6:28 GLM 5.1 & Kimi K2.6 finish reasoning, start writing code
7:19 All 4 outputs generated
7:43 Token usage & speed breakdown per model
8:37 GPT 5.4 used 22K tokens; GLM 5.1 used only 12K
9:08 Testing all 4 dashboards in browser
10:32 Final verdict — cost winner is clear

📌 WHAT YOU'LL LEARN
✅ How to run 4 AI models simultaneously in OpenRouter's chat playground
✅ Real API cost: GLM 5.1 & Kimi K2.6 vs GPT 5.4 & Claude Opus 4.6
✅ Which model used most tokens (GPT 5.4: 22K) vs least (GLM 5.1: 12K)
✅ How Chinese open-source models produce quality output at a fraction of the cost
✅ Why reasoning token consumption is the hidden cost driver in modern LLMs

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