Kimi K3
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Kimi K3

kimi-k3
Moonshot AI
Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.

Pricing

  • Input Tokens: $3.000 /M tokens
  • Output Tokens: $15.000 /M tokens
  • Cache Read: $0.300 /M tokens

Input Modalities

  • Text
  • Vision
  • Video

Output Modalities

  • Text

Context length

  • 1.05M tokens

Max output

  • 1.05M tokens

Capabilities

  • Thinking
  • Streaming
  • Tool calling
  • Web search
  • URL context
  • Code interpreter
  • Computer use
  • File search
  • Memory tool
  • Structured outputs
  • Citations
  • Prompt caching
  • Background mode
  • Server-side sessions

Providers

Baidu baidu-kimi-k3
Pricing$2.840$14.200
Cache$0.284
Context1M
Max output1M
Latency8.8S
Throughput18.9TPS
Uptime
99.97% uptime 2 days ago
99.97% uptime yesterday
96.66% uptime today
Deepinfra deepinfra-kimi-k3
Pricing$3.135$15.675
Cache$0.314
Context1M
Max output1M
Latency5.5S
Throughput12.3TPS
Uptime
100.00% uptime 2 days ago
97.44% uptime yesterday
97.06% uptime today
Moonshot moonshot-kimi-k3
Pricing$3.000$15.000
Cache$0.300
Context1M
Max output1M
Latency25.1S
Throughput63.2TPS
Uptime
100.00% uptime 2 days ago
100.00% uptime yesterday
100.00% uptime today
Fireworks fireworks-kimi-k3
Pricing$3.000$12.000
Cache$0.591
Context512K
Max output512K
Latency0.9S
Throughput73.1TPS
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today

Performance for kimi-k3

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
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Latency
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Throughput
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Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="kimi-k3",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is Kimi K3?

Kimi K3 is Kimi’s flagship model for long-horizon coding and end-to-end knowledge work, with a 1M-token context window and industry-leading intelligence.