Models and prices / minimax-m2.7
MiniMax M2.7
MiniMax's model for coding and agent workflows, with tool calls.
OpenAI compatibleAnthropic compatible
Pricing
| Item (USD per 1M tokens) | Price |
|---|---|
| Input | $0.2984 |
| Cached input | $0.0596 |
| Output | $1.1939 |
- Send minimax-m2.7 as the model.
- Cached input is the part of a prompt served from the context cache. The struck-through price is the model maker's own price.
- Thinking is billed as output tokens. Set max_tokens to 1000 or more, or the budget may go to thinking alone.
Specs
| Context window | 200K tokens |
| Longest answer | 128K tokens |
| Input | text |
| APIs | OpenAI Chat Completions, Anthropic Messages |
| Reasoning (thinking) | Yes, billed as output tokens |
Call it with the OpenAI API
curl https://api.aifans.fan/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "minimax-m2.7", "messages": [{"role": "user", "content": "Hello"}], "max_tokens": 1000}'# pip install openai
from openai import OpenAI
client = OpenAI(api_key="YOUR_API_KEY", base_url="https://api.aifans.fan/v1")
resp = client.chat.completions.create(
model="minimax-m2.7",
messages=[{"role": "user", "content": "Hello"}],
max_tokens=1000,
)
print(resp.choices[0].message.content)Use it in Claude Code
Put this in ~/.claude/settings.json (Windows: %USERPROFILE%\.claude\settings.json) and start Claude Code.
{
"env": {
"ANTHROPIC_BASE_URL": "https://api.aifans.fan",
"ANTHROPIC_AUTH_TOKEN": "YOUR_API_KEY",
"ANTHROPIC_MODEL": "minimax-m2.7",
"ANTHROPIC_DEFAULT_OPUS_MODEL": "minimax-m2.7",
"ANTHROPIC_DEFAULT_SONNET_MODEL": "minimax-m2.7",
"ANTHROPIC_DEFAULT_HAIKU_MODEL": "minimax-m2.7",
"CLAUDE_CODE_SUBAGENT_MODEL": "minimax-m2.7"
}
}