Side-by-side comparison
MiniMax M1 vs Kimi K2 0711
| MiniMax M1 | Kimi K2 0711 | |
|---|---|---|
| Provider | MiniMax | MoonshotAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,000,000 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools | tools |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.4000 | 0.5700 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.2000 | 2.3000 |
Frequently asked questions
Which is cheaper, MiniMax M1 or Kimi K2 0711?
MiniMax M1 is cheaper than Kimi K2 0711 on a 50/50 input/output blend by about $0.135 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, MiniMax M1 or Kimi K2 0711?
MiniMax M1 has the larger context window at 1M tokens versus 131k tokens for Kimi K2 0711. That means MiniMax M1 can ingest about 7.6x as much text per request.
What is the difference between MiniMax M1 and Kimi K2 0711?
MiniMax M1 comes from MiniMax; Kimi K2 0711 comes from MoonshotAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.