Author's Description
Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2). 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.
Key Specifications
Supported Parameters
This model supports the following parameters:
Features
This model supports the following features:
Performance Summary
MoonshotAI's Kimi K2 0905, an update to the Kimi K2 0711 model, demonstrates a strong performance profile, particularly in reliability and specific task categories. With 1 trillion total parameters and 32 billion active per forward pass, this MoE model supports an extended context length of 256k tokens. It exhibits exceptional reliability, achieving a 100% success rate across all benchmarks, indicating consistent and stable operation. The model shows moderate speed performance, ranking in the 27th percentile, and offers moderate pricing, placing it in the 36th percentile. Kimi K2 0905 excels in Hallucinations (100% accuracy), Email Classification (99% accuracy), and Instruction Following (72% accuracy, 85th percentile), showcasing its precision in factual recall, categorization, and adherence to complex directives. Its agentic coding capabilities are evident in its strong Coding benchmark score (87% accuracy, 63rd percentile) and solid Reasoning performance (78% accuracy, 67th percentile). However, the model shows weaknesses in General Knowledge (77% accuracy, 23rd percentile), Ethics (80% accuracy, 20th percentile), and Mathematics (53% accuracy, 25th percentile), suggesting areas for improvement in broader factual recall and complex problem-solving outside of its specialized coding and reasoning domains.
Model Pricing
Current Pricing
| Feature | Price (per 1M tokens) |
|---|---|
| Prompt | $0.6 |
| Completion | $2.5 |
| Input Cache Read | $0.15 |
Price History
Available Endpoints
| Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
|---|---|---|---|---|
|
Moonshot AI
|
Moonshot AI | moonshotai/kimi-k2-0905 | 262K | $0.6 / 1M tokens | $2.5 / 1M tokens |
|
Moonshot AI
|
Moonshot AI | moonshotai/kimi-k2-0905 | 262K | $1.15 / 1M tokens | $8 / 1M tokens |
|
Together
|
Together | moonshotai/kimi-k2-0905 | 262K | $1 / 1M tokens | $3 / 1M tokens |
|
Fireworks
|
Fireworks | moonshotai/kimi-k2-0905 | 262K | $0.6 / 1M tokens | $2.5 / 1M tokens |
|
Groq
|
Groq | moonshotai/kimi-k2-0905 | 262K | $1 / 1M tokens | $3 / 1M tokens |
|
Novita
|
Novita | moonshotai/kimi-k2-0905 | 262K | $0.48 / 1M tokens | $2 / 1M tokens |
|
Chutes
|
Chutes | moonshotai/kimi-k2-0905 | 262K | $0.39 / 1M tokens | $1.9 / 1M tokens |
|
Parasail
|
Parasail | moonshotai/kimi-k2-0905 | 262K | $0.55 / 1M tokens | $2.99 / 1M tokens |
|
BaseTen
|
BaseTen | moonshotai/kimi-k2-0905 | 262K | $0.6 / 1M tokens | $2.5 / 1M tokens |
|
AtlasCloud
|
AtlasCloud | moonshotai/kimi-k2-0905 | 65K | $0.6 / 1M tokens | $2.5 / 1M tokens |
|
SiliconFlow
|
SiliconFlow | moonshotai/kimi-k2-0905 | 262K | $0.4 / 1M tokens | $2 / 1M tokens |
|
DeepInfra
|
DeepInfra | moonshotai/kimi-k2-0905 | 262K | $0.5 / 1M tokens | $2 / 1M tokens |
|
GMICloud
|
GMICloud | moonshotai/kimi-k2-0905 | 262K | $0.39 / 1M tokens | $1.9 / 1M tokens |
|
WandB
|
WandB | moonshotai/kimi-k2-0905 | 128K | $0.39 / 1M tokens | $1.9 / 1M tokens |
|
BytePlus
|
BytePlus | moonshotai/kimi-k2-0905 | 256K | $0.6 / 1M tokens | $2.5 / 1M tokens |
Benchmark Results
| Benchmark | Category | Reasoning | Strategy | Free | Executions | Accuracy | Cost | Duration |
|---|
Other Models by moonshotai
|
|
Released | Params | Context |
|
Speed | Ability | Cost |
|---|---|---|---|---|---|---|---|
| MoonshotAI: Kimi Linear 48B A3B Instruct | Nov 07, 2025 | 48B | 1M |
Text input
Text output
|
★★★★ | ★★ | $$$ |
| MoonshotAI: Kimi K2 Thinking | Nov 06, 2025 | ~1T | 262K |
Text input
Text output
|
★ | ★★★★★ | $$$$$ |
| MoonshotAI: Kimi K2 0905 (exacto) | Sep 04, 2025 | ~1T | 262K |
Text input
Text output
|
— | — | $$$$$ |
| MoonshotAI: Kimi K2 0711 | Jul 11, 2025 | ~1T | 131K |
Text input
Text output
|
★★★★ | ★★★★★ | $$ |
| MoonshotAI: Kimi Dev 72B | Jun 16, 2025 | 72B | 131K |
Text input
Text output
|
★ | ★★ | $$$$ |
| MoonshotAI: Kimi VL A3B Thinking Unavailable | Apr 10, 2025 | 3B | 131K |
Image input
Text input
Text output
|
★ | ★ | $$$ |