MiniMax M3 vs Qwen3.7 Plus

MiniMax M3 vs Qwen3.7 Plus at a glance

MiniMax M3 from MiniMax and Qwen3.7 Plus from Alibaba Cloud are both in the Text Generation category, available through the EmpirioLabs API.

Key differences

• Both models were released on Jun 1, 2026.
• MiniMax M3 has the larger context window: 1M tokens, against 983.6K for Qwen3.7 Plus.
• MiniMax M3 returns up to 524,288 output tokens per response, Qwen3.7 Plus up to 65,536.
• Capabilities listed only for MiniMax M3: cache, long context.
• Capabilities listed only for Qwen3.7 Plus: code interpreter, prefix continuation, fine tuning, agentic coding.
• MiniMax M3 lists the lower rate for Web search (per call when invoked).

MiniMax M3 vs Qwen3.7 Plus: specs

MiniMax M3 vs Qwen3.7 Plus: API pricing

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

MiniMax M3 vs Qwen3.7 Plus: 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 Qwen3.7 Plus: 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.

Qwen3.7 Plus

Pricing is 3x for input/output above 256K tokens. Web Search, Text-to-Image Search, and Image-to-Image Search are billed only when invoked.

Text-to-Image Search and Image-to-Image Search use the Image Search pricing row. Thinking tokens are billed as output tokens.

How to call MiniMax M3 and Qwen3.7 Plus

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 qwen3-7-plus. 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 Qwen3.7 Plus: common questions

What is the difference between MiniMax M3 and Qwen3.7 Plus?

Both models were released on Jun 1, 2026. MiniMax M3 has the larger context window: 1M tokens, against 983.6K for Qwen3.7 Plus. MiniMax M3 returns up to 524,288 output tokens per response, Qwen3.7 Plus up to 65,536. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which has the lower rate, MiniMax M3 or Qwen3.7 Plus?

MiniMax M3 lists the lower rate for Web search (per call when invoked). Both live rate cards are on this page and always match what the API charges.

Can I switch between MiniMax M3 and Qwen3.7 Plus 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 Qwen3.7 Plus 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.