MiniMax M3 vs MiniMax M2.7

MiniMax M3 vs MiniMax M2.7 at a glance

MiniMax M3 and MiniMax M2.7 are both MiniMax models in the Text Generation category, available through the EmpirioLabs API.

Key differences

• MiniMax M3 is the newer release (Jun 1, 2026); MiniMax M2.7 was released on Mar 18, 2026.
• MiniMax M3 has the larger context window: 1M tokens, against 200K for MiniMax M2.7.
• MiniMax M3 returns up to 524,288 output tokens per response, MiniMax M2.7 up to 131,072.
• Input types only MiniMax M3 accepts: Image, Video.
• Capabilities listed only for MiniMax M3: vision, video, web search, long context.

MiniMax M3 vs MiniMax M2.7: specs

MiniMax M3 vs MiniMax M2.7: API pricing

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

MiniMax M3 vs MiniMax M2.7: 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.

MiniMax M3 vs MiniMax M2.7: limits and notes

MiniMax M3

Text, image, and video input with text output. Thinking defaults to adaptive and can be disabled. Pricing is based on input tokens including cache hits: <=512K uses the discounted standard tier, while >512K uses the high-context tier. Supports up to 1M input tokens. Set tool_web_search to true to let the model search the web; each executed search is billed, and one request can run several searches. Answers that used web search end with a Sources list unless disable_formatting is true. Structured output through response_format is not supported; ask for JSON in the prompt instead.

MiniMax M2.7

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

How to call MiniMax M3 and MiniMax M2.7

MiniMax M3 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-m3. Both models are called through the same endpoint. Set model to minimax-m3 or minimax-m2-7. 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-m3",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

MiniMax M3 vs MiniMax M2.7: common questions

What is the difference between MiniMax M3 and MiniMax M2.7?

MiniMax M3 is the newer release (Jun 1, 2026); MiniMax M2.7 was released on Mar 18, 2026. MiniMax M3 has the larger context window: 1M tokens, against 200K for MiniMax M2.7. MiniMax M3 returns up to 524,288 output tokens per response, MiniMax M2.7 up to 131,072. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, MiniMax M3 or MiniMax M2.7?

MiniMax M3 is the newer release (Jun 1, 2026); MiniMax M2.7 was released on Mar 18, 2026.

Which has the lower rate, MiniMax M3 or MiniMax M2.7?

The two models are priced on different units or tiers, so compare the live rate cards on this page. They always match what the API charges.

Can I switch between MiniMax M3 and MiniMax M2.7 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 M3 and MiniMax M2.7 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.