large language

KimiKimi K2

The world's first 1 trillion parameter open source model

Model details

Example usage

Baseten offers Dedicated Deployments and Model APIs for Kimi K2 powered by the Baseten Inference Stack.

Kimi K2 has shown strong performance on agentic tasks thanks to its tool calling, reasoning abilities, and long context handling. But as a large parameter model (1T parameters), it’s also resource-intensive. Running it in production requires a highly optimized inference stack to avoid excessive latency.

Kimi

Deployments of Kimi are OpenAI-compatible.

Input
1from openai import OpenAI
2import os
3
4model_url = "" # Copy in from API pane in Baseten model dashboard
5
6client = OpenAI(
7    api_key=os.environ['BASETEN_API_KEY'],
8    base_url=model_url
9)
10
11# Chat completion
12response_chat = client.chat.completions.create(
13    model="",
14    messages=[
15        {"role": "user", "content": "Write FizzBuzz."}
16    ],
17    temperature=0.6,
18    max_tokens=100,
19)
20print(response_chat)
JSON output
1{
2    "id": "143",
3    "choices": [
4        {
5            "finish_reason": "stop",
6            "index": 0,
7            "logprobs": null,
8            "message": {
9                "content": "[Model output here]",
10                "role": "assistant",
11                "audio": null,
12                "function_call": null,
13                "tool_calls": null
14            }
15        }
16    ],
17    "created": 1741224586,
18    "model": "",
19    "object": "chat.completion",
20    "service_tier": null,
21    "system_fingerprint": null,
22    "usage": {
23        "completion_tokens": 145,
24        "prompt_tokens": 38,
25        "total_tokens": 183,
26        "completion_tokens_details": null,
27        "prompt_tokens_details": null
28    }
29}

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