Kimi K2 Thinking: Complete Guide to Moonshot's Latest Model
"Complete guide to Kimi K2 Thinking by Moonshot AI. Features, benchmarks, API access, pricing comparison, and how to use it through Crazyrouter."

Kimi K2 Thinking is Moonshot AI's flagship reasoning model, and it's making waves in the AI community. With performance that rivals GPT-5 and Claude Opus on reasoning benchmarks, Kimi K2 represents a major leap for Chinese AI models on the global stage. Here's everything you need to know.
What is Kimi K2 Thinking?#
Kimi K2 Thinking is an advanced large language model developed by Moonshot AI (月之暗面), a Beijing-based AI company. The "Thinking" variant is specifically designed for complex reasoning tasks, similar to OpenAI's o1/o3 and Claude's extended thinking mode.
Key highlights:
- Mixture of Experts (MoE) architecture: 1 trillion+ total parameters, ~32B active per inference
- Extended thinking: Chain-of-thought reasoning for complex problems
- Multilingual: Excellent performance in both English and Chinese
- Long context: Supports up to 128K token context window
- Competitive pricing: Significantly cheaper than GPT-5 and Claude Opus
Kimi K2 Thinking Benchmarks#
| Benchmark | Kimi K2 Thinking | GPT-5 | Claude Opus 4.5 | DeepSeek V3.2 |
|---|---|---|---|---|
| MMLU-Pro | 85.7 | 87.2 | 86.1 | 83.9 |
| MATH-500 | 92.3 | 93.1 | 91.8 | 90.5 |
| HumanEval | 91.5 | 92.8 | 90.2 | 89.7 |
| GPQA Diamond | 68.4 | 71.2 | 69.8 | 65.3 |
| ARC-Challenge | 96.8 | 97.1 | 96.5 | 95.2 |
| Coding (SWE-bench) | 48.2 | 51.3 | 49.7 | 45.8 |
Kimi K2 Thinking performs within 1-3% of GPT-5 on most benchmarks while being significantly cheaper to use.
How to Use Kimi K2 Thinking#
Method 1: Crazyrouter API (Recommended)#
Crazyrouter provides easy access to Kimi K2 Thinking through an OpenAI-compatible API. No need to deal with Moonshot's Chinese-language documentation or payment methods.
Python Example:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_CRAZYROUTER_KEY",
base_url="https://crazyrouter.com/v1"
)
# Basic usage
response = client.chat.completions.create(
model="kimi-k2-thinking",
messages=[
{
"role": "user",
"content": "Solve this step by step: If a train travels at 120 km/h and another at 80 km/h in the opposite direction, starting 500 km apart, when do they meet?"
}
]
)
print(response.choices[0].message.content)
Python — Complex Reasoning:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_CRAZYROUTER_KEY",
base_url="https://crazyrouter.com/v1"
)
# Complex coding task with thinking
response = client.chat.completions.create(
model="kimi-k2-thinking",
messages=[
{
"role": "system",
"content": "You are an expert software architect. Think through problems carefully before providing solutions."
},
{
"role": "user",
"content": """Design a rate limiter that supports:
1. Fixed window rate limiting
2. Sliding window rate limiting
3. Token bucket algorithm
4. Distributed rate limiting with Redis
Provide the implementation in Python with proper error handling."""
}
],
temperature=0.1
)
print(response.choices[0].message.content)
Node.js Example:
import OpenAI from "openai";
const client = new OpenAI({
apiKey: "YOUR_CRAZYROUTER_KEY",
baseURL: "https://crazyrouter.com/v1",
});
const response = await client.chat.completions.create({
model: "kimi-k2-thinking",
messages: [
{
role: "user",
content:
"Analyze the time complexity of merge sort and explain why it's O(n log n) with a formal proof.",
},
],
});
console.log(response.choices[0].message.content);
cURL Example:
curl https://crazyrouter.com/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_CRAZYROUTER_KEY" \
-d '{
"model": "kimi-k2-thinking",
"messages": [
{
"role": "user",
"content": "Explain the CAP theorem and its implications for distributed database design"
}
]
}'
Method 2: Moonshot Official API#
You can also access Kimi K2 directly through Moonshot's API:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_MOONSHOT_KEY",
base_url="https://api.moonshot.cn/v1"
)
response = client.chat.completions.create(
model="kimi-k2-thinking",
messages=[
{"role": "user", "content": "Your prompt here"}
]
)
Note: Moonshot's API requires Chinese payment methods and documentation is primarily in Chinese.
Kimi K2 Thinking Pricing#
| Provider | Input (per 1M tokens) | Output (per 1M tokens) | Thinking Tokens |
|---|---|---|---|
| Moonshot Official | ¥60 (~$8.30) | ¥120 (~$16.60) | Included in output |
| Crazyrouter | ~$4.00 | ~$8.00 | Included |
| GPT-5 (comparison) | $10.00 | $30.00 | N/A |
| Claude Opus 4.5 | $15.00 | $75.00 | N/A |
| DeepSeek V3.2 | $0.27 | $1.10 | N/A |
Kimi K2 Thinking through Crazyrouter offers excellent value — comparable reasoning quality to GPT-5 at roughly 40-70% lower cost.
When to Use Kimi K2 Thinking#
Best Use Cases#
- Math and logic problems: Excels at step-by-step mathematical reasoning
- Code generation: Strong performance on complex coding tasks
- Analysis and research: Thorough, well-structured analytical responses
- Chinese language tasks: Native-level Chinese understanding and generation
- Scientific reasoning: Good at physics, chemistry, and biology problems
When to Use Other Models Instead#
- Creative writing: Claude Opus 4.5 or GPT-5 may be better
- Real-time chat: Use faster models like Claude Haiku or GPT-5-mini
- Image understanding: Use multimodal models like GPT-5 or Gemini
- Cost-sensitive tasks: DeepSeek V3.2 is cheaper for simpler tasks
Kimi K2 vs Other Thinking Models#
| Feature | Kimi K2 Thinking | GPT-o3 | Claude Extended Thinking | DeepSeek R1 |
|---|---|---|---|---|
| Reasoning Quality | ★★★★☆ | ★★★★★ | ★★★★★ | ★★★★☆ |
| Speed | ★★★★☆ | ★★★☆☆ | ★★★☆☆ | ★★★★☆ |
| Price | ★★★★★ | ★★☆☆☆ | ★★☆☆☆ | ★★★★★ |
| Chinese Language | ★★★★★ | ★★★☆☆ | ★★★☆☆ | ★★★★★ |
| English Language | ★★★★☆ | ★★★★★ | ★★★★★ | ★★★★☆ |
| Context Length | 128K | 128K | 200K | 128K |
| API Accessibility | ★★★☆☆ | ★★★★★ | ★★★★★ | ★★★★☆ |
Frequently Asked Questions#
What is Kimi K2 Thinking?#
Kimi K2 Thinking is Moonshot AI's advanced reasoning model with over 1 trillion parameters (MoE architecture). It uses extended chain-of-thought reasoning to solve complex problems in math, coding, science, and analysis. It performs competitively with GPT-5 and Claude Opus 4.5 at a lower price point.
How does Kimi K2 Thinking compare to GPT-5?#
Kimi K2 Thinking performs within 1-3% of GPT-5 on most reasoning benchmarks (MMLU-Pro, MATH-500, HumanEval). GPT-5 has a slight edge in creative tasks and English language quality, while Kimi K2 excels in Chinese language tasks and offers significantly lower pricing.
Can I use Kimi K2 Thinking outside of China?#
Yes. While Moonshot's official API is primarily designed for Chinese users, you can access Kimi K2 Thinking globally through Crazyrouter. No VPN or Chinese payment methods needed — just sign up and get an API key.
Is Kimi K2 Thinking good for coding?#
Yes. Kimi K2 Thinking scores 91.5 on HumanEval and 48.2 on SWE-bench, making it one of the top coding models available. It's particularly strong at algorithm design, debugging, and code review tasks.
What's the context window for Kimi K2 Thinking?#
Kimi K2 Thinking supports a 128K token context window, which is enough to process entire codebases, long documents, or complex multi-turn conversations. This is comparable to GPT-5 and larger than most open-source alternatives.
Summary#
Kimi K2 Thinking is a top-tier reasoning model that delivers GPT-5-level performance at a fraction of the cost. For developers who need strong reasoning capabilities — especially for math, coding, and bilingual (English/Chinese) tasks — it's an excellent choice. Access it easily through Crazyrouter with a single API key that also gives you access to 300+ other AI models.




