MiniMax M2.5 — SOTA productivity LLM with strong coding + agentic capabilities, 200k context, ~60 tp…
from openai import OpenAI
client = OpenAI(
base_url="https://orcarouter.ai/v1",
api_key="$ORCAROUTER_API_KEY",
)
response = client.chat.completions.create(
model="minimax/minimax-m2.5",
messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)| Input / 1M tokens | $0.300 |
| Output / 1M tokens | $1.20 |
| Cache read / 1M | $0.030 |
| Cache write / 1M | $0.375 |
| Currency | USD |