k2 · Open weights
K2-Think
K2-Think is a 32B open-weights general reasoning model with strong competitive math performance. Benchmarks: AIME 2024 90.83, AIME 2025 81.24, GPQA-Diamond 71.08, LiveCodeBench v5 63.97.
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.17
- Output
- $0.68
Reference prices as published by the model provider. API example
Specifications
- Context window
- 128K
- Max output
- 32.8K
Side by side
K2-Think compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| K2-Thinkk2This model | MiniMax M2MiniMaxRemove | |
|---|---|---|
| Provider | k2 | MiniMax |
| Discovery tier | Open weights | Open weights |
| Added | Jul 26, 2025 | Jan 12, 2025 |
| Limits | ||
| Context window | 128K | 200KBest |
| Max output | 32.77K | 131.07KBest |
| Pricing, USD per 1M tokens | ||
| Input | $0.17 | $0.17 |
| Output | $0.68Best | $1.53 |
| Capabilities | ||
| Reasoning | No | Yes |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
Developers
Use it through the API
Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.
curl https://www.noumen.xyz/api/v1/chat/completions \
-H "Authorization: Bearer $NOUMEN_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "LLM360/K2-Think",
"messages": [{ "role": "user", "content": "Explain this stack trace." }]
}'import os
from openai import OpenAI
client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
model="LLM360/K2-Think",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)