GLM 5.2 vs Qwen3.7 Max

GLM 5.2 vs Qwen3.7 Max at a glance

GLM 5.2 from Z.ai and Qwen3.7 Max from Alibaba Cloud are both in the Text Generation category, available through the EmpirioLabs API.

Key differences

• GLM 5.2 is the newer release (Jun 16, 2026); Qwen3.7 Max was released on May 21, 2026.
• GLM 5.2 has the larger context window: 1M tokens, against 983.6K for Qwen3.7 Max.
• GLM 5.2 returns up to 131,072 output tokens per response, Qwen3.7 Max up to 65,536.
• Capabilities listed only for Qwen3.7 Max: code interpreter, agentic coding.
• GLM 5.2 lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens).

GLM 5.2 vs Qwen3.7 Max: specs

GLM 5.2 vs Qwen3.7 Max: API pricing

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

GLM 5.2 vs Qwen3.7 Max: 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.

GLM 5.2 vs Qwen3.7 Max: 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 GLM 5.2 and Qwen3.7 Max

GLM 5.2 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 glm-5-2. Both models are called through the same endpoint. Set model to glm-5-2 or qwen3-7-max. 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": "glm-5-2",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

GLM 5.2 vs Qwen3.7 Max: 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...

GLM 5.2 vs Qwen3.7 Max: common questions

What is the difference between GLM 5.2 and Qwen3.7 Max?

GLM 5.2 is the newer release (Jun 16, 2026); Qwen3.7 Max was released on May 21, 2026. GLM 5.2 has the larger context window: 1M tokens, against 983.6K for Qwen3.7 Max. GLM 5.2 returns up to 131,072 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, GLM 5.2 or Qwen3.7 Max?

GLM 5.2 is the newer release (Jun 16, 2026); Qwen3.7 Max was released on May 21, 2026.

Which has the lower rate, GLM 5.2 or Qwen3.7 Max?

GLM 5.2 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 GLM 5.2 and Qwen3.7 Max 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 GLM 5.2 and Qwen3.7 Max 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.