GLM 5.2 vs Kimi K2.7 Code

GLM 5.2 vs Kimi K2.7 Code at a glance

GLM 5.2 from Z.ai and Kimi K2.7 Code from Moonshot AI are both in the Text Generation category, available through the EmpirioLabs API.

Key differences

• Both models were released on Jun 16, 2026.
• GLM 5.2 has the larger context window: 1M tokens, against 256K for Kimi K2.7 Code.
• Input types only Kimi K2.7 Code accepts: Image, Video.
• Capabilities listed only for Kimi K2.7 Code: multimodal, agentic coding.
• Kimi K2.7 Code lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens).

GLM 5.2 vs Kimi K2.7 Code: specs

GLM 5.2 vs Kimi K2.7 Code: API pricing

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

GLM 5.2 vs Kimi K2.7 Code: 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 Kimi K2.7 Code: limits and notes

Kimi K2.7 Code

Supports text, image, and video inputs with 256K context, function calling, JSON mode structured output, and built-in web search at $0.015 per invoked call. Thinking is always on and cannot be disabled; reasoning tokens are billed as output tokens. Temperature and other sampling overrides are ignored because the model service uses fixed sampling settings. Multi-step function calling through the API must replay the assistant message with its reasoning_content field intact.

How to call GLM 5.2 and Kimi K2.7 Code

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 kimi-k2-7-code. 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 Kimi K2.7 Code: 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... Guides Kimi K2.7 Code vs GLM 5.2: Which Coding API to Use Kimi K2.7 Code is cheaper and accepts image and video input, with always-on reasoning. GLM 5.2 has a 1M context window...

GLM 5.2 vs Kimi K2.7 Code: common questions

What is the difference between GLM 5.2 and Kimi K2.7 Code?

Both models were released on Jun 16, 2026. GLM 5.2 has the larger context window: 1M tokens, against 256K for Kimi K2.7 Code. Input types only Kimi K2.7 Code accepts: Image, Video. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which has the lower rate, GLM 5.2 or Kimi K2.7 Code?

Kimi K2.7 Code 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 Kimi K2.7 Code 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 Kimi K2.7 Code 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.