Kimi K2.5
Kimi K2.5 is an AI model published by Moonshot AI, released on 2026-01-27, for Multimodal model, with 10000.0B parameters, and 256K tokens context length, requiring about 595GB storage, under the Modified 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 | $0.6 | $3 |
| Image | $0.6 | -- |
| Modality | Input cache | Output cache |
|---|---|---|
| Text | $0.1 | -- |
| Image | $0.1 | -- |
Kimi K2.5 currently shows benchmark results led by HLE (17 / 149, score 50.20), LiveCodeBench (14 / 118, score 85), GPQA Diamond (31 / 175, score 87.60). This page also consolidates core specs, context limits, and API pricing so you can evaluate the model from benchmark results and deployment constraints together.
Kimi K2.5 is an AI model published by Moonshot AI, released on 2026-01-27, for Multimodal model, with 10000.0B parameters, and 256K tokens context length, requiring about 595GB storage, under the Modified MIT License license.
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