LangMart: MoonshotAI: Kimi K2 0905
Model Overview
| Property | Value |
|---|---|
| Model ID | openrouter/moonshotai/kimi-k2-0905 |
| Name | MoonshotAI: Kimi K2 0905 |
| Provider | moonshotai |
| Released | 2025-09-04 |
Description
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.
Description
LangMart: MoonshotAI: Kimi K2 0905 is a language model provided by moonshotai. This model offers advanced capabilities for natural language processing tasks.
Provider
moonshotai
Specifications
| Spec | Value |
|---|---|
| Context Window | 262,144 tokens |
| Modalities | text->text |
| Input Modalities | text |
| Output Modalities | text |
Pricing
| Type | Price |
|---|---|
| Input | $0.39 per 1M tokens |
| Output | $1.90 per 1M tokens |
Capabilities
- Frequency penalty
- Logit bias
- Logprobs
- Max tokens
- Min p
- Presence penalty
- Repetition penalty
- Response format
- Seed
- Stop
- Structured outputs
- Temperature
- Tool choice
- Tools
- Top k
- Top logprobs
- Top p