Tencent HY3 vs GLM 5.3
tencent/hy3 · z-ai/glm-5.3
As of November 1, 2026, Tencent HY3 is the cheaper API on UberLLM: $0.0012 per million input tokens and $0.0050 per million output, versus $0.0007 / $0.0141 for GLM 5.3, about 62% 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 Tencent HY3 to cut cost; choose GLM 5.3 when context size wins. GLM 5.3 carries the larger context window (1,000,000 vs 262,144 tokens), which can matter for long-document work.
Tencent HY3 vs GLM 5.3, side by side
| Spec | Tencent HY3 | GLM 5.3 |
|---|---|---|
| Price · input / 1M | $0.0012 | $0.0007 |
| Price · output / 1M | $0.0050 | $0.0141 |
| Context length | 262,144 | 1,000,000 |
| Max output tokens | 131,072 | 131,072 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 99.1% off | 99% off |
| First token, median (7 days) | — | 3.6 s (426 requests) |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 1, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Tencent HY3 vs GLM 5.3 — FAQ
Is Tencent HY3 or GLM 5.3 cheaper?
Tencent HY3 is cheaper on a blended token mix, by about 62%. 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 Tencent HY3 and GLM 5.3?
Tencent HY3: $0.0012 in / $0.0050 out per 1M tokens. GLM 5.3: $0.0007 in / $0.0141 out per 1M tokens. That's roughly a 62% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Tencent HY3 and GLM 5.3 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.