o4 Mini vs Kimi K2.6
o4 Mini
Kimi K2.6
| o4 Mini | Kimi K2.6 | |
|---|---|---|
| Provider | OpenAI | MoonshotAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 200,000 | 262,142 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β | 1.1000 | 0.7300 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 4.4000 | 3.4900 |
Frequently asked questions
Which is cheaper, o4 Mini or Kimi K2.6?
Kimi K2.6 is cheaper than o4 Mini on a 50/50 input/output blend by about $0.64 per 1M tokens. Exact savings depend on your input-vs-output ratio β use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, o4 Mini or Kimi K2.6?
Kimi K2.6 has the larger context window at 262k tokens versus 200k tokens for o4 Mini. That means Kimi K2.6 can ingest about 1.3x as much text per request.
What is the difference between o4 Mini and Kimi K2.6?
o4 Mini comes from OpenAI; Kimi K2.6 comes from MoonshotAI. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.