Side-by-side comparison
DeepSeek V3 vs MiniMax M2.1
| DeepSeek V3 | MiniMax M2.1 | |
|---|---|---|
| Provider | DeepSeek | MiniMax |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 163,840 | 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 → | 0.3200 | 0.2900 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.8900 | 0.9500 |
Frequently asked questions
Which is cheaper, DeepSeek V3 or MiniMax M2.1?
DeepSeek V3 is cheaper than MiniMax M2.1 on a 50/50 input/output blend by about $0.015 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 V3 or MiniMax M2.1?
MiniMax M2.1 has the larger context window at 197k tokens versus 164k tokens for DeepSeek V3. That means MiniMax M2.1 can ingest about 1.2x as much text per request.
What is the difference between DeepSeek V3 and MiniMax M2.1?
DeepSeek V3 comes from DeepSeek; MiniMax M2.1 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.