We moved to the latest tag and the MiniMax M2.7 API drove our agent loops a touch cleaner.
MiniMax M2.7 is the latest point release in the M2 line for agentic workflows and coding — the freshest tool loops and coding, at the same low per-token price. Served on RouterBase over an OpenAI-compatible endpoint at $0.30 / 1M input and $1.20 / 1M output, with cached input at $0.06, 10% under list; it is the most recent M2, ahead of M2.5, M2.1, and M2.
MiniMax M2.7 API — The Latest M2 for Agents and Coding
The MiniMax M2.7 API serves MiniMax M2.7, the latest point release in the M2 line — the freshest agentic tool loops and coding.
MiniMax M2.7 is the newest step in the M2 line: the same agent-and-coding focus, carrying the series' latest tuning. The MiniMax M2.7 API keeps the low, per-token pricing that makes the family a practical default — $0.30 per 1M input tokens and $1.20 per 1M output, with cached input at $0.06 — while bringing the freshest refinements for tool loops and coding. If you want the most recent M2 to build on rather than an earlier tag, this is the one.
You call the MiniMax M2.7 API through RouterBase on the OpenAI chat-completions protocol; set the model to minimax-m2-7 and your client is unchanged. The MiniMax M2.7 API bills $0.30 per 1M input, $1.20 per 1M output, and $0.06 for cached input — 10% under list, on one key that reaches the whole catalog.
What the MiniMax M2.7 API gives you
The newest step in the M2 line.
Latest in the M2 line
The MiniMax M2.7 API is the newest point release of the M2 series — freshest tuning.
Agent tool loops
The MiniMax M2.7 API drives multi-step tool loops for agents with the latest refinements from the series.
Strong at coding
Writing and fixing code stays central for the MiniMax M2.7 API.
Low per-token pricing
At $0.30 in and $1.20 out, the MiniMax M2.7 API keeps the family cheap — 10% below list.
Cheap cached reads
Cached input is $0.06 per 1M, so repeated context on the MiniMax M2.7 API stays cheap.
Drop-in from earlier M2
Already on M2, M2.1, or M2.5? Point at the MiniMax M2.7 API by changing one string.

First call to the MiniMax M2.7 API in three steps
Quick to wire, ready to drive a tool loop.
Create a key
One RouterBase key reaches the MiniMax M2.7 API and every other model in the catalog.
Point and name
Send any OpenAI client to routerbase.com/v1 with model=minimax/minimax-m2.7. Streaming and function calling work out of the box.
Wire your tools
Give the MiniMax M2.7 API your function schemas and let it drive the loop; usage comes back per response so cost stays visible.
Pay only for what you use
RouterBase passes through partner-tier pricing. Compared against the model's official published API rate.
Teams building on the MiniMax M2.7 API
The latest agent-and-coding model, running cheap.
Same $0.30 in, freshest tuning — the MiniMax M2.7 API was the obvious pick.
The MiniMax M2.7 API handled our multi-step tasks as cleanly as we hoped from the newest release.
Even at $0.06 cached, the MiniMax M2.7 API kept our long agent loops affordable.
Function calling held up, so our whole tool layer runs on the MiniMax M2.7 API.
Our coding agent felt like the steadiest M2 yet on the MiniMax M2.7 API.
One string changed from M2.5; the MiniMax M2.7 API kept everything working.
We default agent and coding traffic to the MiniMax M2.7 API and keep it all on one key.
The MiniMax M2.7 API was fast enough to sit inside our live coding assistant.
MiniMax M2.7 API — common questions
What to know before you route traffic to it.
RouterBase's hosted access to MiniMax M2.7, the latest point release in the M2 line for agentic workflows and coding, over an OpenAI-compatible endpoint.