MoonshotAI
Kimi K2 0905
📰 Tech Blog | 📄 Paper
- Contexte
- 262K
- Entrée
- 0,60 $US
- Sortie
- 2,5 $US
Explorez 7 modèles d’IA de MoonshotAI et comparez contexte, tarifs, modalités et capacités.
7 modèles dans cette vue
MoonshotAI
📰 Tech Blog | 📄 Paper
MoonshotAI
Kimi K2 Thinking is the latest, most capable version of open-source thinking model. Starting with Kimi K2, we built it as a thinking agent that reasons step-by-step while dynamically invoking tools. It sets a new state-of-the-art on Humanity's Last Exam (HLE), BrowseComp, and other benchmarks by dramatically scaling multi-step reasoning depth and maintaining stable tool-use across 200–300 sequential calls. At the same time, K2 Thinking is a native INT4 quantization model with 256k context window, achieving lossless reductions in inference latency and GPU memory usage.
MoonshotAI
📰 Tech Blog | 📄 Paper
MoonshotAI
Kimi K2.6 is an open-source, native multimodal agentic model that advances practical capabilities in long-horizon coding, coding-driven design, proactive autonomous execution, and swarm-based task orchestration.
MoonshotAI
Kimi K2.7 Code is a coding-focused agentic model built upon Kimi K2.6. With substantial improvements on real-world long-horizon coding tasks, it strengthens end-to-end task completion across complex software engineering workflows while improving token efficiency, reducing thinking-token usage by approximately 30% compared with Kimi K2.6.
MoonshotAI
Kimi K3 is an open-weight, native multimodal agentic model and our most capable model to date. It is a 2.8T-parameter model built on Kimi Delta Attention (KDA) and Attention Residuals (AttnRes), with native vision capabilities and a 1-million-token context window. It is the world's first open 3T-class model, designed for frontier intelligence across long-horizon coding, knowledge work, and reasoning.
This model always redirects to the latest model in the MoonshotAI Kimi family.
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