Kimi-K2-0711-Preview
Kimi-K2-0711-Preview is an AI model published by Moonshot AI, released on 2025-07-11, for AI model, with 10000.0B parameters, and 131K tokens context length, requiring about 1.01TB storage, under the Modified MIT license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
Kimi K2 currently shows benchmark results led by Creative Writing (1 / 23, score 88.10), MMLU (12 / 65, score 89.50), MATH-500 (11 / 44, score 97.40). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
| Variant name | Version type | Quantization | Model size | HuggingFace link |
|---|---|---|---|---|
| Kimi-K2-Instructℹ️ | Instruct | BF16 | 1031.15 GB | Download link |
| Kimi-K2-Baseℹ️ | Base | BF16 | 1031.15 GB | Download link |
Kimi-K2-0711-Preview is an AI model published by Moonshot AI, released on 2025-07-11, for AI model, with 10000.0B parameters, and 131K tokens context length, requiring about 1.01TB storage, under the Modified MIT license.
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| Modality | Input | Output |
|---|---|---|
| Text | $0.6 | $2.5 |
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