Qwen3.7 Max vs DeepSeek V4 Pro

Qwen3.7 Max vs DeepSeek V4 Pro at a glance

Qwen3.7 Max from Alibaba Cloud and DeepSeek V4 Pro from DeepSeek are both in the Text Generation category, available through the EmpirioLabs API.

Key differences

• Qwen3.7 Max is the newer release (May 21, 2026); DeepSeek V4 Pro was released on Apr 24, 2026.
• DeepSeek V4 Pro has the larger context window: 1M tokens, against 983.6K for Qwen3.7 Max.
• DeepSeek V4 Pro returns up to 393,216 output tokens per response, Qwen3.7 Max up to 65,536.
• Capabilities listed only for Qwen3.7 Max: web search, code interpreter, agentic coding.
• DeepSeek V4 Pro lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens).

Qwen3.7 Max vs DeepSeek V4 Pro: specs

Qwen3.7 Max vs DeepSeek V4 Pro: API pricing

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

Qwen3.7 Max vs DeepSeek V4 Pro: 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.

Qwen3.7 Max vs DeepSeek V4 Pro: limits and notes

Qwen3.7 Max

Text input only. Web search, web extractor, and code interpreter are optional built-in tools exposed through tool_* parameters. Each built-in tool call adds $0.02 when invoked. Thinking tokens are billed as output tokens.

How to call Qwen3.7 Max and DeepSeek V4 Pro

Qwen3.7 Max 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 qwen3-7-max. Both models are called through the same endpoint. Set model to qwen3-7-max or deepseek-v4-pro. 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": "qwen3-7-max",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

Qwen3.7 Max vs DeepSeek V4 Pro: tests and guides

Prompt tests and comparison runs that cover both models.

Guides Kimi vs DeepSeek vs Qwen vs GLM: AI Coding Models Compared Kimi K2.7 Code vs DeepSeek V4 Pro vs Qwen3.7 Max vs GLM 5.2, same three prompts, one shot each. Watch all four build...

Qwen3.7 Max vs DeepSeek V4 Pro: common questions

What is the difference between Qwen3.7 Max and DeepSeek V4 Pro?

Qwen3.7 Max is the newer release (May 21, 2026); DeepSeek V4 Pro was released on Apr 24, 2026. DeepSeek V4 Pro has the larger context window: 1M tokens, against 983.6K for Qwen3.7 Max. DeepSeek V4 Pro returns up to 393,216 output tokens per response, Qwen3.7 Max up to 65,536. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, Qwen3.7 Max or DeepSeek V4 Pro?

Qwen3.7 Max is the newer release (May 21, 2026); DeepSeek V4 Pro was released on Apr 24, 2026.

Which has the lower rate, Qwen3.7 Max or DeepSeek V4 Pro?

DeepSeek V4 Pro 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 Qwen3.7 Max and DeepSeek V4 Pro 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 Qwen3.7 Max and DeepSeek V4 Pro 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.