Kimi K2.7 Code vs Qwen3.7 Max

Kimi K2.7 Code vs Qwen3.7 Max at a glance

Kimi K2.7 Code from Moonshot AI and Qwen3.7 Max from Alibaba Cloud are both in the Text Generation category, available through the EmpirioLabs API.

Key differences

• Kimi K2.7 Code is the newer release (Jun 16, 2026); Qwen3.7 Max was released on May 21, 2026.
• Qwen3.7 Max has the larger context window: 983.6K tokens, against 256K for Kimi K2.7 Code.
• Kimi K2.7 Code returns up to 131,072 output tokens per response, Qwen3.7 Max up to 65,536.
• Input types only Kimi K2.7 Code accepts: Image, Video.
• Capabilities listed only for Kimi K2.7 Code: multimodal.
• Capabilities listed only for Qwen3.7 Max: code interpreter.
• Kimi K2.7 Code lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens).

Kimi K2.7 Code vs Qwen3.7 Max: specs

Kimi K2.7 Code vs Qwen3.7 Max: API pricing

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

Kimi K2.7 Code 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.

Kimi K2.7 Code vs Qwen3.7 Max: 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.

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 Kimi K2.7 Code and Qwen3.7 Max

Kimi K2.7 Code 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 kimi-k2-7-code. Both models are called through the same endpoint. Set model to kimi-k2-7-code 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": "kimi-k2-7-code",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

Kimi K2.7 Code 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...

Kimi K2.7 Code vs Qwen3.7 Max: common questions

What is the difference between Kimi K2.7 Code and Qwen3.7 Max?

Kimi K2.7 Code is the newer release (Jun 16, 2026); Qwen3.7 Max was released on May 21, 2026. Qwen3.7 Max has the larger context window: 983.6K tokens, against 256K for Kimi K2.7 Code. Kimi K2.7 Code 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, Kimi K2.7 Code or Qwen3.7 Max?

Kimi K2.7 Code is the newer release (Jun 16, 2026); Qwen3.7 Max was released on May 21, 2026.

Which has the lower rate, Kimi K2.7 Code or Qwen3.7 Max?

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 Kimi K2.7 Code 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 Kimi K2.7 Code 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.