DeepSeek V3.2 vs Qwen3 Coder Next
deepseek/deepseek-v3.2 · qwen/qwen3-coder-next
As of November 4, 2026, DeepSeek V3.2 is the cheaper API on UberLLM: $0.0026 per million input tokens and $0.0039 per million output, versus $0.0012 / $0.0079 for Qwen3 Coder Next, about 43% 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 V3.2 to cut cost; choose Qwen3 Coder Next when context size wins. Qwen3 Coder Next carries the larger context window (256,000 vs 160,000 tokens), which can matter for long-document work.
DeepSeek V3.2 vs Qwen3 Coder Next, side by side
| Spec | DeepSeek V3.2 | Qwen3 Coder Next |
|---|---|---|
| Price · input / 1M | $0.0026 | $0.0012 |
| Price · output / 1M | $0.0039 | $0.0079 |
| Context length | 160,000 | 256,000 |
| Max output tokens | 32,768 | 16,000 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | — |
| % off list | 99% off | 99% off |
Best prices on UberLLM right now. No UberLLM fee on requests; adding credit by card costs 5.5% + $0.50. Updated November 4, 2026. A price more than 70% below list is what buyers were billed, not an error. Why so cheap?
DeepSeek V3.2 vs Qwen3 Coder Next — FAQ
Is DeepSeek V3.2 or Qwen3 Coder Next cheaper?
DeepSeek V3.2 is cheaper on a blended token mix, by about 43%. 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 V3.2 and Qwen3 Coder Next?
DeepSeek V3.2: $0.0026 in / $0.0039 out per 1M tokens. Qwen3 Coder Next: $0.0012 in / $0.0079 out per 1M tokens. That's roughly a 43% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V3.2 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.