flagship · Mar 2026
MiniMax M2.5
Cost-effective large model with strong general capabilities and long context.
By MiniMax · Text · MiniMax Model License
Model details
Specs & substance
Spec sheet
Developed byMiniMax
Model familyMiniMax
Categoryflagship
ModalityText
Context window1M tokens
ArchitectureMoE
VersionM2.5
LicenseMiniMax Model License
Pricing$0.30 in$1.20 out · $0.03 cache
ReleasedMar 2026
Endpointparasail-minimax-m25
Cost-effective large model with strong general capabilities and long context.
MiniMax M2.5 is part of the MiniMax family by MiniMax, categorized as a flagship model. It supports a 1M tokens context window and is built on a MoE architecture.
Key strengths: reasoning, long-context. Parasail serves MiniMax M2.5 on a global fleet of current-gen GPUs behind a single OpenAI-compatible endpoint — with per-token pricing, no minimums, and dedicated capacity options when you need guaranteed throughput.
Integrate
Drop-in via the OpenAI SDK
Point any OpenAI-compatible chat client at Parasail and change the model name. That's it.
pythonparasail · MiniMax M2.5
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.parasail.io/v1"
)
response = client.chat.completions.create(
model="parasail-minimax-m25",
messages=[
{"role": "user", "content": "Hello, what can you do?"}
],
stream=True,
stream_options={"include_usage": True},
top_p=1,
max_tokens=1000,
temperature=1
)
for chunk in response:
if chunk.choices and chunk.choices[0].delta.content is not None:
print(chunk.choices[0].delta.content, end="", flush=True)bashparasail · MiniMax M2.5
curl https://api.parasail.io/v1/chat/completions \
-H "Authorization: Bearer $PARASAIL_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "parasail-minimax-m25",
"messages": [{"role": "user", "content": "Hello, what can you do?"}],
"stream": true,
"max_tokens": 1000
}'More models