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 demonstrates moderate speed performance, ranking in the 23rd percentile across six benchmarks, indicating it is not among the fastest models available. Its pricing is also moderate, placing it in the 35th percentile, suggesting competitive but not exceptionally low costs. A standout feature is its exceptional reliability, achieving a 100% success rate across all benchmarks, signifying minimal technical failures and consistent response delivery. In terms of benchmark performance, Kimi K2 0905 excels in Instruction Following (85th percentile accuracy) and Email Classification (84th percentile accuracy), showcasing strong capabilities in precise directive execution and categorization. Its Coding (Baseline) performance is solid at 87.0% accuracy (68th percentile), aligning with its described improvements in agentic and frontend coding. However, the model exhibits notable weaknesses in Reasoning (47th percentile accuracy), Ethics (21st percentile accuracy), and General Knowledge (24th percentile accuracy), where its performance falls below average compared to other models. While its coding and instruction following are strengths, its lower scores in critical thinking and broad knowledge areas suggest room for improvement in these 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 | $2.4 / 1M tokens | $10 / 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 | $0.6 / 1M tokens | $2.5 / 1M tokens |
Chutes
|
Chutes | moonshotai/kimi-k2-0905 | 262K | $0.296 / 1M tokens | $1.19 / 1M tokens |
Benchmark Results
Benchmark | Category | Reasoning | Free | Executions | Accuracy | Cost | Duration |
---|
Other Models by moonshotai
|
Released | Params | Context |
|
Speed | Ability | Cost |
---|---|---|---|---|---|---|---|
MoonshotAI: Kimi K2 0711 | Jul 11, 2025 | ~1T | 131K |
Text input
Text output
|
★★★★ | ★★★★★ | $$ |
MoonshotAI: Kimi Dev 72B | Jun 16, 2025 | 72B | 131K |
Text input
Text output
|
★ | ★★ | $$$$$ |
MoonshotAI: Kimi VL A3B Thinking | Apr 10, 2025 | 3B | 131K |
Image input
Text input
Text output
|
★ | ★★ | $$ |