MiniMax · Open weights
MiniMax M2
MiniMax M2 offers enhanced reasoning and strong general performance. Optimized for coding and agentic workflows.
- Reasoning
- Input
- Text
- Output
- Text
- Discovery tier
- Open weights
Pricing
USD per 1M tokens- Input
- $0.17
- Output
- $1.53
Reference prices as published by the model provider. API example
Specifications
- Context window
- 200K
- Max output
- 131.1K
Side by side
MiniMax M2 compared
Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.
| MiniMax M2MiniMaxThis model | K2-Thinkk2Remove | |
|---|---|---|
| Provider | MiniMax | k2 |
| Discovery tier | Open weights | Open weights |
| Added | Jan 12, 2025 | Jul 26, 2025 |
| Limits | ||
| Context window | 200KBest | 128K |
| Max output | 131.07KBest | 32.77K |
| Pricing, USD per 1M tokens | ||
| Input | $0.17 | $0.17 |
| Output | $1.53 | $0.68Best |
| Performance | ||
| Request success (24h) | 90.3% | — |
| Capabilities | ||
| Reasoning | Yes | No |
| Reasoning effort | — | — |
Public evaluations
Benchmarks
There are no public benchmark results for these models yet.
Live routing data
Performance and reliability
Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.
- Request success (24h)
- 90.3%
- Unstable
Hourly request success · last 72 hoursLowest hour 60.0%
- Healthy (98% or more)
- Degraded (90–98%)
- Down (under 90%)
- No requests
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": "minimax/minimax-m2",
"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="minimax/minimax-m2",
messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)MiniMax
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