Kimi K2-Instruct-0905
Kimi K2-Instruct-0905 is an AI model published by Moonshot AI, released on 2025-09-05, for AI model, with 10000.0B parameters, and 256K tokens context length, requiring about 1.01TB storage, under the MIT License license.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
| Modality | Input | Output |
|---|---|---|
| Text | $0.60 | $2.5 |
Kimi K2 0905 currently shows benchmark results led by Terminal-Bench (6 / 35, score 44.50), SWE-bench Verified (54 / 103, score 69.20), HLE (87 / 149, score 21.70). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
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Kimi K2-Instruct-0905 is an AI model published by Moonshot AI, released on 2025-09-05, for AI model, with 10000.0B parameters, and 256K tokens context length, requiring about 1.01TB storage, under the MIT License license.
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