MoonshotAI: Kimi K2 Thinking
MoonshotAI's Kimi K2 Thinking is designed for handling long-form text inputs with a context length of 262,144 tokens and can generate up to 100,352 completion tokens. It supports both reasoning tasks and tools integration, making it versatile for complex problem-solving scenarios that require interaction with external data sources. However, this model does not offer structured output, limiting its utility in environments where detailed, formatted results are necessary. Given its pricing at $0.6 per million input tokens and $2.5 per million output tokens, Kimi K2 Thinking might be more suitable for users willing to pay a premium for enhanced reasoning capabilities and tool integration. The lack of independent benchmark coverage means that its performance relative to competitors remains unverified; thus, it is best considered in contexts where the unique features justify the cost.
- Model ID
- moonshotai/kimi-k2-thinking
- Vendor
- moonshotai
- Released
- November 2025
- Tokenizer
- Other
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 100,352 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- text only
- Audio
- no
- Moderated
- no
What it costs in practice
Computed from the current $0.60/M input and $2.50/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.02 |
| Classify 1,000 customer emails | 500k in / 50k out | $0.42 |
| A month of a busy support chatbot | 5M in / 2M out | $8.00 |
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Quick answers
- How much does MoonshotAI: Kimi K2 Thinking cost?
- $0.60 per million input tokens and $2.50 per million output tokens.
- What is MoonshotAI: Kimi K2 Thinking's context window?
- 262,144 tokens, roughly 393 pages of text in a single request.
- Does MoonshotAI: Kimi K2 Thinking support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can MoonshotAI: Kimi K2 Thinking process images?
- No, it is text-only on the input side.