DeepSeek V4 Pro vs Qwen 3.8 Max
deepseek/deepseek-v4-pro · qwen/qwen-3-8-max
As of November 3, 2026, DeepSeek V4 Pro is the cheaper API on UberLLM: $0.0013 per million input tokens and $0.0026 per million output, versus $0.1212 / $0.3638 for Qwen 3.8 Max, 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 DeepSeek V4 Pro to cut cost; choose Qwen 3.8 Max when its capabilities fit your task better.
DeepSeek V4 Pro vs Qwen 3.8 Max, side by side
| Spec | DeepSeek V4 Pro | Qwen 3.8 Max |
|---|---|---|
| Price · input / 1M | $0.0013 | $0.1212 |
| Price · output / 1M | $0.0026 | $0.3638 |
| Context length | 1,000,000 | 1,000,000 |
| Max output tokens | 128,000 | 131,072 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 99.9% off | 95.2% off |
| First token, median (7 days) | 5.4 s (200 requests) | — |
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?
DeepSeek V4 Pro vs Qwen 3.8 Max — FAQ
Is DeepSeek V4 Pro or Qwen 3.8 Max cheaper?
DeepSeek V4 Pro 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 DeepSeek V4 Pro and Qwen 3.8 Max?
DeepSeek V4 Pro: $0.0013 in / $0.0026 out per 1M tokens. Qwen 3.8 Max: $0.1212 in / $0.3638 out per 1M tokens. That's roughly a 99% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V4 Pro and Qwen 3.8 Max 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.