DeepSeek V4 Pro vs Qwen3 Coder Next
deepseek/deepseek-v4-pro · qwen/qwen3-coder-next
As of November 3, 2026, DeepSeek V4 Pro is the cheaper API on UberLLM: $0.0010 per million input tokens and $0.0020 per million output, versus $0.0012 / $0.0079 for Qwen3 Coder Next, about 72% 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 Qwen3 Coder Next when its capabilities fit your task better.
DeepSeek V4 Pro vs Qwen3 Coder Next, side by side
| Spec | DeepSeek V4 Pro | Qwen3 Coder Next |
|---|---|---|
| Price · input / 1M | $0.0010 | $0.0012 |
| Price · output / 1M | $0.0020 | $0.0079 |
| Context length | 1,000,000 | 256,000 |
| Max output tokens | 128,000 | 16,000 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | — |
| % off list | 99.9% off | 99% 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 Qwen3 Coder Next — FAQ
Is DeepSeek V4 Pro or Qwen3 Coder Next cheaper?
DeepSeek V4 Pro is cheaper on a blended token mix, by about 72%. 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 Qwen3 Coder Next?
DeepSeek V4 Pro: $0.0010 in / $0.0020 out per 1M tokens. Qwen3 Coder Next: $0.0012 in / $0.0079 out per 1M tokens. That's roughly a 72% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V4 Pro and Qwen3 Coder Next 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.