Side-by-side comparison
DeepSeek V4 Pro vs MiniMax M2.5
DeepSeek
DeepSeek V4 Pro
🔧 Tools
{} JSON
Input / 1M
$0.4350
Output / 1M
$0.8700
| DeepSeek V4 Pro | MiniMax M2.5 | |
|---|---|---|
| Provider | DeepSeek | MiniMax |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,048,576 | 196,608 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.4350 | 0.1500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.8700 | 1.1500 |
Frequently asked questions
Which is cheaper, DeepSeek V4 Pro or MiniMax M2.5?
MiniMax M2.5 is cheaper than DeepSeek V4 Pro on a 50/50 input/output blend by about $0.0025 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, DeepSeek V4 Pro or MiniMax M2.5?
DeepSeek V4 Pro has the larger context window at 1M tokens versus 197k tokens for MiniMax M2.5. That means DeepSeek V4 Pro can ingest about 5.3x as much text per request.
What is the difference between DeepSeek V4 Pro and MiniMax M2.5?
DeepSeek V4 Pro comes from DeepSeek; MiniMax M2.5 comes from MiniMax. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.