

MiniMax M2.7 and MiniMax M2.7 Highspeed side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.
MiniMax M2.7 and MiniMax M2.7 Highspeed are both MiniMax models in the Text Generation category, available through the EmpirioLabs API.
| Spec | MiniMax M2.7 | MiniMax M2.7 Highspeed |
|---|---|---|
| Model ID | minimax-m2-7 | minimax-m2-7-highspeed |
| Author | MiniMax | MiniMax |
| Released | Mar 18, 2026 | Mar 18, 2026 |
| Context window | 200K tokens | 200K tokens |
| Max output | 131,072 tokens | 131,072 tokens |
| Input | Text | Text |
| Output | Text | Text |
| Structured output | Not supported | Not supported |
| Region | Singapore | Singapore |
| Endpoints | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/minimax-m2-7:generateContent | POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/minimax-m2-7-highspeed:generateContent |
| Capabilities |
Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.
Request parameters each model lists on EmpirioLabs, with the allowed values or range where one applies. A dash marks a parameter the model does not list.
| Parameter | MiniMax M2.7 | MiniMax M2.7 Highspeed |
|---|---|---|
| max_tokens | 1 to 131072 Default: 4096 | 1 to 131072 Default: 4096 |
| stop | string | string |
| tools | array | array |
| tool_choice | string | string |
| web_search_linkup | boolean Default: false | boolean Default: false |
| disable_formatting | boolean Default: false | boolean Default: false |
Supports interleaved thinking, function calling, and implicit prompt cache reads. Thinking is always on and billed as output tokens.
Same frontier performance as M2.7 with ~100 tokens/sec output. Interleaved thinking is always on (no toggle).
MiniMax M2.7 serves the OpenAI-compatible Chat Completions API. Point any OpenAI SDK at https://api.empiriolabs.ai/v1 with your EmpirioLabs API key and use the model id minimax-m2-7. Both models are called through the same endpoint. Set model to minimax-m2-7 or minimax-m2-7-highspeed. Get an API key from the EmpirioLabs dashboard.
curl https://api.empiriolabs.ai/v1/chat/completions \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "minimax-m2-7",
"messages": [
{"role": "user", "content": "Write a haiku about the ocean."}
]
}'Both models were released on Mar 18, 2026. Both models have a context window of 200K tokens. Capabilities listed only for MiniMax M2.7: cache. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.
MiniMax M2.7 lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens). Both live rate cards are on this page and always match what the API charges.
Yes. Both models use POST /v1/chat/completions with the same EmpirioLabs API key, so most integrations switch by changing the model value. Check the parameters table on this page first if you rely on a model-specific parameter.
Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.
Check out our pricing or reach out if you want your own model deployed on our stack.