Pareto 26.9 vs Z.ai: GLM 5.3 Prime
unbiased/pareto-26.9 · z-ai/glm-5.3-prime
As of November 5, 2026, Z.ai: GLM 5.3 Prime is the cheaper API on UberLLM: $0.0276 per million input tokens and $0.0867 per million output, versus $2.48 / $7.42 for Pareto 26.9, about 99% less when output is 3 tokens for every input token. These are the best prices on the market right now. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Z.ai: GLM 5.3 Prime to cut cost; choose Pareto 26.9 when its capabilities fit your task better.
Pareto 26.9 vs Z.ai: GLM 5.3 Prime, side by side
| Spec | Pareto 26.9 | Z.ai: GLM 5.3 Prime |
|---|---|---|
| Price · input / 1M | $2.48 | $0.0276 |
| Price · output / 1M | $7.42 | $0.0867 |
| Context length | 262,144 | 1,000,000 |
| Max output tokens | 131,072 | 131,072 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | — | Yes |
| % off list | 1% off | 99% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 5, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Pareto 26.9 vs Z.ai: GLM 5.3 Prime — FAQ
Is Pareto 26.9 or Z.ai: GLM 5.3 Prime cheaper?
Z.ai: GLM 5.3 Prime is cheaper on a blended token mix, by about 99%. A request costs what its provider charged, UberLLM adds no fee, and every request is listed with its cost in Activity.
What's the price difference between Pareto 26.9 and Z.ai: GLM 5.3 Prime?
Pareto 26.9: $2.48 in / $7.42 out per 1M tokens. Z.ai: GLM 5.3 Prime: $0.0276 in / $0.0867 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Pareto 26.9 and Z.ai: GLM 5.3 Prime with one API?
Yes. Both are served through a single OpenAI-compatible endpoint — set the base URL to https://api.uberllm.dev/v1 and your UberLLM key, then switch between them by changing the model id. Anthropic SDKs work via https://api.uberllm.dev/v1/messages.