MoonshotAI: Kimi K2 0905
moonshotai/kimi-k2-0905
Kimi K2 0905 is the September update of Kimi K2 0711. It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It supports long-context inference up to 256k tokens, extended from the previous 128k. This update improves agentic coding with higher accuracy and better generalization across scaffolds, and enhances frontend coding with more aesthetic and functional outputs for web, 3D, and related tasks. Kimi K2 is optimized for agentic capabilities, including advanced tool use, reasoning, and code synthesis. It excels across coding (LiveCodeBench, SWE-bench), reasoning (ZebraLogic, GPQA), and tool-use (Tau2, AceBench) benchmarks. The model is trained with a novel stack incorporating the MuonClip optimizer for stable large-scale MoE training.
Model specifications
- Input
- text
- Output
- text
- Context
- 131,072 tokens
- Max output
- 131,072 tokens
- Input price
- $0.6 / 1M tokens
- Output price
- $2.5 / 1M tokens
- Released
- 2026-02-15
Capabilities
- Streaming
- Function calling
- JSON mode
- Playground
Provider pricing, discounts and data privacy
Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.
Standard service tier
1 available provider · tier input average $0.6 / 1M tokens · tier output average $2.5 / 1M tokens
Novita
Tier: Standard · Region: US
Pricing
- Input
- $0.6 / 1M tokens
- Output
- $2.5 / 1M tokens
No provider discount is currently published.
Data privacy and compliance
- Region
- US
- Zero data retention
- Yes
- Data retention
- Zero retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- No
- HIPAA compliant
- No
- SOC 2 certified
- No
- BYOK supported
- No
Privacy policy · Terms · Official website · Documentation · Status · Support
Frequently asked questions
- What is MoonshotAI: Kimi K2 0905?
- Kimi K2 0905 is the September update of Kimi K2 0711. It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It supports long-context inference up to 256k tokens, extended from the previous 128k. This update improves agentic coding with higher accuracy and better generalization across scaffolds, and enhances frontend coding with more aesthetic and functional outputs for web, 3D, and related tasks. Kimi K2 is optimized for agentic capabilities, including advanced tool use, reasoning, and code synthesis. It excels across coding (LiveCodeBench, SWE-bench), reasoning (ZebraLogic, GPQA), and tool-use (Tau2, AceBench) benchmarks. The model is trained with a novel stack incorporating the MuonClip optimizer for stable large-scale MoE training.
- How much does MoonshotAI: Kimi K2 0905 cost?
- Input costs start at $0.6 / 1M tokens and output costs start at $2.5 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of MoonshotAI: Kimi K2 0905?
- MoonshotAI: Kimi K2 0905 supports a 131,072 token context window and up to 131,072 output tokens.
- What capabilities does MoonshotAI: Kimi K2 0905 support?
- MoonshotAI: Kimi K2 0905 supports Streaming, Function calling, JSON mode, Playground.
- Which providers offer MoonshotAI: Kimi K2 0905?
- MoonshotAI: Kimi K2 0905 is available from Novita.
- How do providers handle data privacy for MoonshotAI: Kimi K2 0905?
- 1 of 1 providers report that customer data is not used for training, and 1 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.