Qwen3 Coder Next vs Qwen3.8 Flash
qwen/qwen3-coder-next · qwen/qwen3.8-flash
As of November 3, 2026, Qwen3.8 Flash is the cheaper API on UberLLM: $0.0012 per million input tokens and $0.0037 per million output, versus $0.0012 / $0.0079 for Qwen3 Coder Next, about 50% 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 Qwen3.8 Flash to cut cost; choose Qwen3 Coder Next when its capabilities fit your task better.
Qwen3 Coder Next vs Qwen3.8 Flash, side by side
| Spec | Qwen3 Coder Next | Qwen3.8 Flash |
|---|---|---|
| Price · input / 1M | $0.0012 | $0.0012 |
| Price · output / 1M | $0.0079 | $0.0037 |
| Context length | 256,000 | 1,000,000 |
| Max output tokens | 16,000 | 131,072 |
| Input modalities | text | text, image, video |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Vision (image input) | — | Yes |
| Reasoning | — | Yes |
| % off list | 99% off | 99.2% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 3, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
Qwen3 Coder Next vs Qwen3.8 Flash — FAQ
Is Qwen3 Coder Next or Qwen3.8 Flash cheaper?
Qwen3.8 Flash is cheaper on a blended token mix, by about 50%. 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 Coder Next and Qwen3.8 Flash?
Qwen3 Coder Next: $0.0012 in / $0.0079 out per 1M tokens. Qwen3.8 Flash: $0.0012 in / $0.0037 out per 1M tokens. That's roughly a 50% blended difference. Prices are live; UberLLM adds no fee.
Can I use both Qwen3 Coder Next 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.