Kimi K2 Thinking vs Ling-2.6-1T
Kimi K2 Thinking
Ling-2.6-1T
| Kimi K2 Thinking | Ling-2.6-1T | |
|---|---|---|
| Provider | MoonshotAI | inclusionAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 262,144 | 262,144 |
| 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 β | 0.6000 | 0.3000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 2.5000 | 2.5000 |
Frequently asked questions
Which is cheaper, Kimi K2 Thinking or Ling-2.6-1T?
Ling-2.6-1T is cheaper than Kimi K2 Thinking on a 50/50 input/output blend by about $0.15 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.
What is the difference between Kimi K2 Thinking and Ling-2.6-1T?
Kimi K2 Thinking comes from MoonshotAI; Ling-2.6-1T comes from inclusionAI. 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.