GPT 5 Mini vs Tencent HY3
openai/gpt-5-mini · tencent/hy3
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 $0.0619 / $0.4950 for GPT 5 Mini, 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 Tencent HY3 to cut cost; choose GPT 5 Mini when context size wins. GPT 5 Mini carries the larger context window (400,000 vs 262,144 tokens), which can matter for long-document work.
GPT 5 Mini vs Tencent HY3, side by side
| Spec | GPT 5 Mini | Tencent HY3 |
|---|---|---|
| Price · input / 1M | $0.0619 | $0.0012 |
| Price · output / 1M | $0.4950 | $0.0050 |
| Context length | 400,000 | 262,144 |
| Max output tokens | 128,000 | 131,072 |
| Input modalities | text, image | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | Yes |
| % off list | 75.3% off | 99.1% off |
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?
GPT 5 Mini vs Tencent HY3 — FAQ
Is GPT 5 Mini or Tencent HY3 cheaper?
Tencent HY3 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 GPT 5 Mini and Tencent HY3?
GPT 5 Mini: $0.0619 in / $0.4950 out per 1M tokens. Tencent HY3: $0.0012 in / $0.0050 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both GPT 5 Mini and Tencent HY3 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.