moonshotai/kimi-k2-instruct 🔢📝 → 📝
About
Kimi K2 achieves exceptional performance across frontier knowledge, reasoning, and coding tasks while being meticulously optimized for agentic capabilities

Example Output
"What is Replicate?"
Output
Replicate is a cloud-based platform that lets you run open-source machine-learning models (and publish your own) with a simple REST API or a few lines of Python/Node code—no GPUs to rent, no CUDA to install, no containers to build.
Key points:
Instant inference: One line like
replicate.run("stability-ai/stable-diffusion:27b93a2413e7f36cd83da412f119a301612b9c89", {"prompt": "a cat in space"})
returns the generated image in seconds.Huge model zoo: Thousands of community-contributed models—image generation (Stable Diffusion, SDXL), LLMs (Llama-2, Mistral), speech-to-text (Whisper), code generation, upscaling, voice cloning, etc.
Pay-per-second billing: You pay only for the milliseconds the model is actually executing on their autoscaling GPU/CPU fleet (A100, T4, L4, etc.).
Cog: Their open-source tool lets you package any model into a reproducible Docker container with one
cog.yaml
file and push it to Replicate so others can run it.Integrations: Works from Python, Node, cURL, or no-code tools like Zapier; can also spin out persistent endpoints (called “deployments”) that autoscale to zero.
In short, Replicate is “serverless GPUs for ML models”—you get the power of large-scale ML without managing infrastructure.
Performance Metrics
All Input Parameters
{ "top_p": 1, "prompt": "What is Replicate?", "max_tokens": 4096, "temperature": 0.1, "presence_penalty": 0, "frequency_penalty": 0 }
Input Parameters
- top_p
- Top-p (nucleus) sampling
- prompt
- Prompt
- max_tokens
- The maximum number of tokens the model should generate as output.
- temperature
- The value used to modulate the next token probabilities.
- presence_penalty
- Presence penalty
- frequency_penalty
- Frequency penalty
Output Schema
Output
Example Execution Logs
Prompt: What is Replicate? Input token count: 5 Output token count: 334 TTFT: 0.56s Tokens per second: 45.15 Total time: 7.40s
Version Details
- Version ID
a507c17930624e91e0fa74cfe3b91d4607e59c0e58f9c535452c21f298f2d6ed
- Version Created
- August 5, 2025