MoonshotAI: Kimi K2 0905
The Kimi K2 0905 is an AI model offered by MoonshotAI, designed for processing text input. It supports tools and has a context length of 262144, allowing it to handle long-form conversations or documents. Considering its price point, the Kimi K2 0905 may be suitable for users who require high-context conversation models without additional features like structured output or reasoning capabilities. Its blended benchmark score of 23.2 across one independent benchmark suggests that it is a mid-range performer in comparison to other models; however, more data on its performance is needed to draw definitive conclusions about its standing within the field.
Benchmark results
Independent, published benchmarks. Blended score 21.4 across 1 benchmark, last refreshed 2026-10-13. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 25.2 |
- Model ID
- moonshotai/kimi-k2-0905
- Vendor
- moonshotai
- Released
- September 2025
- Tokenizer
- Other
- Input Modalities
- text
- Output Modalities
- text
- Max Output
- 98,304 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- not 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 |
Similar models
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MoonshotAI: Kimi K2.5
Quick answers
- How much does MoonshotAI: Kimi K2 0905 cost?
- $0.60 per million input tokens and $2.50 per million output tokens.
- What is MoonshotAI: Kimi K2 0905's context window?
- 262,144 tokens, roughly 393 pages of text in a single request.
- Does MoonshotAI: Kimi K2 0905 support tool calling?
- It supports tool calling, structured output.
- Can MoonshotAI: Kimi K2 0905 process images?
- No, it is text-only on the input side.