GPT-5.5 Pro vs Qwen3.8 Flash
openai/gpt-5.5-pro · qwen/qwen3.8-flash
As of October 31, 2026, Qwen3.8 Flash is the cheaper API on UberLLM: $0.0031 per million input tokens and $0.0099 per million output, versus $24.51 / $147.06 for GPT-5.5 Pro, about 100% less when output is 3 tokens for every input token. These are the median prices buyers paid over the last 24 hours. Both work with one OpenAI-compatible key and UberLLM adds no fee. Choose Qwen3.8 Flash to cut cost; choose GPT-5.5 Pro when its capabilities fit your task better.
GPT-5.5 Pro vs Qwen3.8 Flash, side by side
| Spec | GPT-5.5 Pro | Qwen3.8 Flash |
|---|---|---|
| Price · input / 1M | $24.51 | $0.0031 |
| Price · output / 1M | $147.06 | $0.0099 |
| Context length | 1,000,000 | 1,000,000 |
| Max output tokens | 128,000 | 131,072 |
| Input modalities | text, image | text, image, video |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 18% off | 98% off |
Median prices buyers paid on UberLLM over the last 24 hours. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated October 31, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
GPT-5.5 Pro vs Qwen3.8 Flash — FAQ
Is GPT-5.5 Pro or Qwen3.8 Flash cheaper?
Qwen3.8 Flash is cheaper on a blended token mix, by about 100%. 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-5.5 Pro and Qwen3.8 Flash?
GPT-5.5 Pro: $24.51 in / $147.06 out per 1M tokens. Qwen3.8 Flash: $0.0031 in / $0.0099 out per 1M tokens. That's roughly a 100% blended difference. Prices are live; UberLLM adds no fee.
Can I use both GPT-5.5 Pro and Qwen3.8 Flash 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.