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Moonshot AIProprietary
Kimi K2 Thinking
Kimi K2 Thinking is an inference model developed by Moonshot AI. It features a large model configuration with approximately 10.4 trillion parameters and a 256K long context window.
Parameters
10400.0B
Context Window
256K
License
https://github.com/openai/gpt-2/blob/master/LICENSE
Release Date
2025-11-06
API Pricing
API pricing for this model is not yet available
Strengths
- ・Massive over 10 trillion parameter count
- ・Wide 256K context window
- ・Specialized for advanced reasoning capabilities
Weaknesses
- ・Extremely large model size over 1TB
- ・Closed distribution format
- ・Increased resource consumption
Use Cases
- ・Executing complex logical reasoning
- ・Analyzing and processing large document sets
- ・Advanced problem-solving tasks
Deep Analysis
Architecture
MoE (1T total, 32B active)
Mixture-of-Experts reasoning model
Context Window
256K tokens
API Pricing (Input/Output)
$0.15 / $0.60 per 1M tokens
Via Kimi API Platform
Release Date
November 2025
Training Cost
$4.6M
Reported by Implicator
Tool Calls
Up to 300 sequential
Agentic capability
Strengths
- ・Outperforms GPT-5 on HLE reasoning benchmark
- ・Open-weight model
- ・Supports up to 300 sequential tool calls for agentic tasks
- ・Competitive pricing at $0.15/$0.60 per 1M tokens
- ・Strong deep reasoning capabilities
Weaknesses
- ・No vision support
- ・Discontinued May 25 2026 (superseded by kimi-k2.6)
- ・Higher latency than turbo variants
- ・Limited to text-only modality
Competitor Comparison
| Model | Arena | SWE | GPQA | Price |
|---|---|---|---|---|
| GPT-5 | - | - | - | Higher |
| Claude Opus 4.5 | - | - | - | Higher |
| DeepSeek V3.2 | - | - | - | Comparable |
Analysis generated: 2026-05-24