DeepSeek V4 Pro vs MiniMax M2.5
deepseek/deepseek-v4-pro · minimax/minimax-m2.5
As of November 4, 2026, DeepSeek V4 Pro is the cheaper API on UberLLM: $0.0025 per million input tokens and $0.0050 per million output, versus $0.0162 / $0.0570 for MiniMax M2.5, about 91% 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 MiniMax M2.5 when its capabilities fit your task better.
DeepSeek V4 Pro vs MiniMax M2.5, side by side
| Spec | DeepSeek V4 Pro | MiniMax M2.5 |
|---|---|---|
| Price · input / 1M | $0.0025 | $0.0162 |
| Price · output / 1M | $0.0050 | $0.0570 |
| Context length | 1,000,000 | 198,000 |
| Max output tokens | 128,000 | 32,768 |
| Input modalities | text | text |
| Output modalities | text | text |
| Tools / functions | Yes | Yes |
| Reasoning | Yes | Yes |
| % off list | 99.9% off | 94% off |
| First token, median (7 days) | 5.4 s (203 requests) | — |
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 V4 Pro vs MiniMax M2.5 — FAQ
Is DeepSeek V4 Pro or MiniMax M2.5 cheaper?
DeepSeek V4 Pro is cheaper on a blended token mix, by about 91%. 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 MiniMax M2.5?
DeepSeek V4 Pro: $0.0025 in / $0.0050 out per 1M tokens. MiniMax M2.5: $0.0162 in / $0.0570 out per 1M tokens. That's roughly a 91% blended difference. Prices are live; UberLLM adds no fee.
Can I use both DeepSeek V4 Pro and MiniMax M2.5 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.