Qwen3.8 Flash vs GLM 5.3
qwen/qwen3.8-flash · z-ai/glm-5.3
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 $0.0022 / $0.0448 for GLM 5.3, about 76% 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 GLM 5.3 when its capabilities fit your task better.
Qwen3.8 Flash vs GLM 5.3, side by side
| Spec | Qwen3.8 Flash | GLM 5.3 |
|---|---|---|
| Price · input / 1M | $0.0031 | $0.0022 |
| Price · output / 1M | $0.0099 | $0.0448 |
| Context length | 1,000,000 | 1,000,000 |
| Max output tokens | 131,072 | 131,072 |
| Input modalities | text, image, video | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | Yes | — |
| Reasoning | Yes | Yes |
| % off list | 98% off | 97% off |
| First token, median (7 days) | — | 3.5 s (156 requests) |
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?
Qwen3.8 Flash vs GLM 5.3 — FAQ
Is Qwen3.8 Flash or GLM 5.3 cheaper?
Qwen3.8 Flash is cheaper on a blended token mix, by about 76%. 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 Qwen3.8 Flash and GLM 5.3?
Qwen3.8 Flash: $0.0031 in / $0.0099 out per 1M tokens. GLM 5.3: $0.0022 in / $0.0448 out per 1M tokens. That's roughly a 76% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Qwen3.8 Flash 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.