MiniMax M2.7 vs MiniMax M2.7 Highspeed

MiniMax M2.7 and MiniMax M2.7 Highspeed side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.

MiniMax Text Generation

MiniMax M2.7 vs MiniMax M2.7 Highspeed at a glance

MiniMax M2.7 and MiniMax M2.7 Highspeed are both MiniMax models in the Text Generation category, available through the EmpirioLabs API.

Key differences

  • 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.
  • MiniMax M2.7 lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens).

MiniMax M2.7 vs MiniMax M2.7 Highspeed: specs

SpecMiniMax M2.7MiniMax M2.7 Highspeed
Model IDminimax-m2-7minimax-m2-7-highspeed
AuthorMiniMaxMiniMax
ReleasedMar 18, 2026Mar 18, 2026
Context window200K tokens200K tokens
Max output131,072 tokens131,072 tokens
Input
Text
Text
Output
Text
Text
Structured outputNot supportedNot supported
RegionSingaporeSingapore
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
reasoning function calling cache
reasoning function calling

MiniMax M2.7 vs MiniMax M2.7 Highspeed: API pricing

Live rates from the EmpirioLabs catalog for both models. Each rate card always matches what the API charges.

MiniMax M2.7 vs MiniMax M2.7 Highspeed: API parameters

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.

ParameterMiniMax M2.7MiniMax M2.7 Highspeed
max_tokens1 to 131072 Default: 40961 to 131072 Default: 4096
stopstringstring
toolsarrayarray
tool_choicestringstring
web_search_linkupboolean Default: falseboolean Default: false
disable_formattingboolean Default: falseboolean Default: false

MiniMax M2.7 vs MiniMax M2.7 Highspeed: limits and notes

MiniMax M2.7

Supports interleaved thinking, function calling, and implicit prompt cache reads. Thinking is always on and billed as output tokens.

MiniMax M2.7 Highspeed

Same frontier performance as M2.7 with ~100 tokens/sec output. Interleaved thinking is always on (no toggle).

How to call MiniMax M2.7 and MiniMax M2.7 Highspeed

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
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."}
    ]
  }'

MiniMax M2.7 vs MiniMax M2.7 Highspeed: common questions

What is the difference between MiniMax M2.7 and MiniMax M2.7 Highspeed?

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.

Which has the lower rate, MiniMax M2.7 or MiniMax M2.7 Highspeed?

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.

Can I switch between MiniMax M2.7 and MiniMax M2.7 Highspeed without rebuilding my integration?

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.

Can I try MiniMax M2.7 and MiniMax M2.7 Highspeed in the browser before integrating?

Yes. Open each model in the EmpirioLabs playground and run the same prompt on both, with the parameters the API exposes.

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