MiniMax M2.7
Save 90%Officialminimax/minimax-m2.7
Call minimax/minimax-m2.7 through the RouteMux AI Gateway. One URL connects you to every model.
- Context window
- 205K
- Max output
- 131K
- Input modalities
- text
- Output modalities
- text
- Capabilities
- Reasoning · Tool Calling · Coding · Cache
- RouteMux name
- minimax/minimax-m2.7
- Official ID
- MiniMax-M2.7
Try MiniMax M2.7 here
Tune the request, see the current price ceiling, and inspect the real response without leaving this model page.
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What is MiniMax M2.7
MiniMax M2.7 is a text-only model with a 204K-token context window and 131K of output headroom. It supports reasoning, coding, tool calling and prompt caching, and answers on OpenAI Chat Completions, OpenAI Responses and Anthropic Messages.
Through RouteMux it is $0.03 per 1M input tokens against MiniMax's $0.30, and $0.12 against $1.20 on output.
Two things to note before choosing it over M3: the context is 204K rather than 1M, and it does not take image input. If either matters, M3 is the same price per token with both.
MiniMax M2.7 API pricing
Source: minimax_text_x0.10 · Verified 2026-08-07
Cache read $0.006/M · Cache write —/M
Estimate cost
Limited time20% off your first top-up — save up to $200
Applies to your first top-up within 72 hours of signing up. Minimum $20, once per account.
Key capabilities
Text-only
No image input — if you need vision at this price point, M3 has it at the same token rate.
204K context, 131K output
Output headroom is unusually large relative to the context window.
Tool calling and caching
Reasoning, coding, tool calling and prompt caching are supported.
Three protocols
OpenAI Chat, OpenAI Responses and Anthropic Messages.
Interface and protocols
Use either ID to call this model via the API.
minimax/minimax-m2.7MiniMax-M2.7Replace the ROUTEMUX_KEY placeholder with your API key. Create one →
from openai import OpenAI
client = OpenAI(
base_url="https://api.routemux.com/v1",
api_key="<ROUTEMUX_KEY>",
)
completion = client.chat.completions.create(
model="minimax/minimax-m2.7",
messages=[{"role": "user", "content": "What is the meaning of life?"}],
)
print(completion.choices[0].message.content)Performance (last 30 days)
MiniMax M2.7 FAQ
›How large is the context window of MiniMax M2.7?
MiniMax M2.7 supports a context window of up to 205K tokens, with up to 131K output tokens per request.
›How much does the MiniMax M2.7 API cost?
Through RouteMux, MiniMax M2.7 costs $0.03 for input and $0.12 for output (USD per 1M tokens), below the official list price.
›How do I call MiniMax M2.7 via API?
MiniMax M2.7 is OpenAI-compatible: point your base URL at RouteMux and set the model field to minimax/minimax-m2.7 — no code changes needed.
›Which input and output modalities does MiniMax M2.7 support?
MiniMax M2.7 accepts text as input and produces text as output.
›M2.7 or M3?
M3 has a 1M context and image input at the same token price. Choose M2.7 only if a workflow is already calibrated to it.
›Does it accept images?
No — M2.7 is text-only. M3 accepts text and image input.