Model Overview
Kimi K2 Thinking is Moonshot AI’s flagship reasoning model, officially released on November 6, 2025. It is currently the world’s strongest publicly accessible long-context reasoning model available via API.
- Architecture: Trillion-scale Mixture-of-Experts (MoE)
- Total parameters: > 1 trillion
- Active parameters per inference: ~32 billion
- Pre-training: >15 trillion tokens + multi-stage reasoning & tool-use alignment
Key capabilities that put it ahead of all other public models:
- Native context length: 256K tokens (~180-200K English words or 380-420 pages of typical technical/legal/financial documents)
- Real-world verified: stably processes > 1.6 million characters (~500 pages) with near-zero information loss
- Tool calling: reliably executes 200-300 consecutive tool calls in a single session without planning drift or degradation
- Unique transparent reasoning: when “thinking mode” is enabled, every response contains a complete, structured <thinking>...</thinking> trace plus a clean final answer — ideal for finance, law, code auditing, and research where explainability and auditability are non-negotiable.
How to Use
Fully compatible with the OpenAI API. Simply modify the base_url and key for seamless migration:
Python
from openai import OpenAI
BASE_URL = "https://inference.canopywave.io/v1"
API_KEY = os.environ.get("CANOPYWAVE_API_KEY")
client = OpenAI(api_key=API_KEY, base_url=BASE_URL)
response = client.chat.completions.create(
model="deepseek/deepseek-chat-v3.2",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "please tell me a story."}
],
)
print(response.choices[0].message.content)Use Cases
| Scenario | Typical Input Size | Why K2 Thinking Wins |
| Full financial/legal due diligence | 100–500 pages (prospectus, contracts, 10-Ks) | One-shot risk extraction + structured report |
| Large codebase audit & refactoring | 100K–200K lines of code | Full-repo architecture diagram + vulnerability list + executable migration plan |
| Book / thesis deep reading & critique | Entire book (e.g., DDIA, Clean Architecture) | Chapter map + core ideas + modern stack translation |
| Long-running autonomous agents | 100–300+ tool calls, days of context | Zero drift in multi-day research, trading, or monitoring tasks |
| High-stakes finance, law, research | Complex modeling + regulatory compliance | Transparent reasoning trace satisfies auditors and regulators |
Prompting Best Practices
1. Always force thinking trace for serious tasks
You are a world-class [role]. Use structured <thinking> tags to show every step of your reasoning. Think step-by-step, cite evidence, self-check, then give a clean final answer.
2. For maximum reliability
use two-stage Plan → Execute First ask: “Give me a complete step-by-step execution plan (no execution yet).”
After you approve → “Now execute the plan exactly.”
3. Recommended parameters
- Reasoning / audit tasks: temperature 0.0-0.3
- Creative / writing tasks: temperature 0.5-0.7
- Always set extra_body={"enable_thinking":true} when transparency is needed
4. Self-check prompt (add before final answer)
Before giving the final answer, double-check for logical gaps, missing clauses, calculation errors, or outdated assumptions.
Pricing & Limits
| Item | Detail |
| Pricing | Input: $0.48 / million tokens Output: $2.00 / million tokens |
| Latency | Due to the reasoning process, this model generates more tokens and takes longer than non-reasoning models. |
| Hard context ceiling | Auto-truncates beyond ~2 million characters (~520–550 pages) |
| Knowledge cutoff | December 2025 (use RAG/search tools for anything newer) |
| Best for | High-value, high-complexity tasks only — not for casual chat |
Quick Links
- Kimi K2 Thinking model card: Kimi K2 Thinking API
- Get Start Now: Canopy Wave
- Model weights (open-source): moonshotai/Kimi-K2-Thinking · Hugging Face
Welcome to the current ceiling of publicly available reasoning power. Try it once on a real 300-page contract or 150K-line codebase — you will immediately understand why investment banks, law firms, and research labs are quietly replacing their “human + GPT-4o” pipelines with Kimi K2 Thinking.
Enjoy the strongest reasoning model you can call today.