Submit
Moonshot AIOpen-weight·131K context·1.0T params·Modified MIT License

Kimi K2 0711moonshot/kimi-k2

Kimi K2 Instruct 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 is optimized for...

Cheapest blended:$1.00 / 1M tokenson Moonshot AI · 1 provider listed

Pricing across providers

Sort by:
ProviderInput /1MOutput /1MBlended /1MLatency p50FormatFreshnessAction
Moonshot AI
kimi-k2
$0.57$2.30$1.00—OpenAI-compatibleNeeds 27d agoTry →

Affiliate disclosure: We may earn a commission from qualified signups. Pricing independence is enforced at the data layer — see our Editorial Independence Policy.

Works with

Point any of these clients at a hosting's base URL — they all speak at least one of this model's endpoint protocols (OPENAI_COMPATIBLE).

Capabilities

  • text generation
  • instruction following
  • agentic tasks
  • reasoning
  • coding
  • knowledge

Code samples

Example using Moonshot AI — the cheapest hosting for this model as of last verification. Swap base_url and model to use a different provider from the matrix above.

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.moonshot.cn/v1",
)

response = client.chat.completions.create(
    model="kimi-k2",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)

Technical specs

Context
131K
Max output
33K
Parameters
1.0T
Release
2025-07-11
Training cutoff
—
License
Modified MIT License
Hugging Face →

Similar models

Compare with

  • Kimi K2 0711 vs DeepSeek V3.1
    Comparison planned — not yet published
  • Kimi K2 0711 vs R1
    Comparison planned — not yet published
  • Kimi K2 0711 vs DeepSeek V3
    Comparison planned — not yet published

Frequently asked

How much does Kimi K2 0711 cost?+
The cheapest public hosting is $1.00 per 1M blended tokens on Moonshot AI. 1 total providers are listed above with per-input / per-output / cached pricing.
How do I access Kimi K2 0711 from outside China?+
All hostings listed above support global access. The official API (e.g. api.deepseek.com, dashscope-intl.aliyuncs.com) accepts international credit cards and does not require a Chinese mobile number. For privacy-sensitive workloads, third-party aggregators like Together.ai host the model on US/EU infrastructure.
Is Kimi K2 0711 open-source? Can I fine-tune it?+
Yes. Kimi K2 0711 is open-weight under the Modified MIT License license. Weights are available on Hugging Face for local inference, fine-tuning, and commercial use (see license for specific terms).
Is Kimi K2 0711 OpenAI-compatible?+
Most listed hostings expose an OpenAI-compatible API, so you can point an existing openai SDK client at the Provider's base_url and use the Provider's model name. See the Code Samples above for a copy-pasteable example.
What's the maximum context window for Kimi K2 0711?+
The model supports up to 131,072 tokens of context (input + output). Some hosted versions may impose a smaller limit — check the "Context" column in the pricing matrix for each provider.