MoonshotAI: Kimi K2 0905 (exacto)
Review
MoonshotAI's Kimi K2 0905 (exacto) variant has no benchmark data available, and with limited Western market accessibility, it cannot be confidently scored for professional business use beyond its tool use capabilities and provider context.
Assessment date: April 4, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
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.
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
How does MoonshotAI: Kimi K2 0905 (exacto) stack up?
Compare side-by-side with other legacy models.
Model Information
| OpenRouter ID |
moonshotai/kimi-k2-0905:exacto
|
| Provider | moonshotai |
| Release Date | September 4, 2025 |
| Context Length | 262,144 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.60 | $0.000600 |
| Output | $2.50 | $0.002500 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
