Moonshot (Kimi)
Kimi K2
model
kimi-k2MidStableStreamingToolsLong contextGlobal
Context
131K
Input / 1M tokens
$0.5700
Output / 1M tokens
$2.30
Cached input / 1M tokens
— (bills at input price)
Cache write / 1M tokens
— (bills at input price)
About this model
Kimi K2
Moonshot's Kimi K2 — strong Chinese-English bilingual model with native long-context support. Particularly good at long-document tasks and Chinese-language reasoning.
Key facts
- Maker
- Moonshot (Kimi)
- Context window
- 131K tokens
- Max output
- 98K tokens
- Lane
- Guarded: the provider has confirmed it does not train on your data
- Modality
- Text
- Input price
- $0.5700 per 1M tokens
- Output price
- $2.30 per 1M tokens
- Processing region(s)
- global
- Route
- Via OpenRouter
- Cheapest plan
- Available from the Pro plan
- Price comparison
- Priced below 118 of 236 pro-band guarded models on Anoman (blended price: 1 part input to 3 parts output).
More models by Moonshot (Kimi)
Training cutoff
2024-09
Parameters
Not disclosed
Ways to call
Ways to call Kimi K2
Each model ID below is callable through the Anoman AI API. Price and processing region depend on the route.
| Model ID | Route | Input / output per 1M tokens | Region(s) | Lane | Context |
|---|---|---|---|---|---|
| kimi-k2 | Via OpenRouter | $0.5700 / $2.30 | global | Guarded | 131K |
| kimi-k2-openrouter | Via OpenRouter | $0.5700 / $2.30 | global | Guarded | 131K |
Best for
Use cases
- Chinese-language chat + writing
- Bilingual Chinese-English workloads
- Long-document analysis
Strengths
What it does well
- 200K context window
- Strong Chinese benchmarks
- Bilingual balanced quality
Limitations
Know the trade-offs
- English benchmarks trail GPT-4o / Claude class
- Smaller community tooling than Western models
Code example
Chat completion with Kimi K2
from openai import OpenAI
client = OpenAI(
base_url="https://api.anoman.io/v1",
api_key="anm-sk-..."
)
response = client.chat.completions.create(
model="kimi-k2",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)Alternatives
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