Paste a server URL and watch MiniMax M3, M2.7 or M2.5 call your tools live. MiniMax is new enough to agentic tool use that measuring it on your own server beats reading anyone’s benchmark.
Paste a server URL, pick a model, and watch it call your tools in a real conversation. No install.
No server of your own? Leave it blank and use one of the public mock servers.
In your browser
MCP Agent Studio
Server has a public URL? Chat with MiniMax on it, watch every tool call, and compare models side by side.
Open MCP Agent Studio →On your computer
MCP Playground Desktop
Server runs on localhost or over stdio? The browser can’t reach it. The desktop app can, with MiniMax in Agent Studio. Download free
MiniMax is the least-benchmarked model on this list, and that is precisely the argument for testing rather than reading. Its API is both OpenAI- and Anthropic-compatible, so it drops into existing client code with unusually little friction, and MiniMax also publishes its own MCP server — meaning you may encounter it on both sides of the protocol. Where third-party evidence is thin, a one-minute run against your own schemas is worth more than a leaderboard position.
MiniMax is the only model here offering both OpenAI- and Anthropic-shaped endpoints, so the same tools can be converted two different ways before reaching it. That is convenient for porting client code and a trap for debugging: reproduce a failure on the same endpoint shape you hit originally, or you are comparing two different conversions.
Try the complex-schema mock on M3, then on M2.5. Where public benchmarks are thin, an A/B on your own tools is the only evidence worth acting on. All the mock servers →
| Model | Model ID | Credits / run |
|---|---|---|
| MiniMax M2.5 | minimax/minimax-m2.5 | 4 |
| MiniMax M2.7 | minimax/minimax-m2.7 | 4 |
| MiniMax M3 | minimax/minimax-m3 | 6 |
| MiniMax M3.1 Flash | minimax/minimax-m3.1-flash | 1 |