Kimi K2.7 Code vs Qwen3.7 Plus

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

Kimi K2.7 Code from Moonshot AI and Qwen3.7 Plus 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 Plus was released on Jun 1, 2026.
• Qwen3.7 Plus 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 Plus up to 65,536.
• Capabilities listed only for Kimi K2.7 Code: multimodal.
• Capabilities listed only for Qwen3.7 Plus: vision, video, code interpreter, prefix continuation, fine tuning.
• Kimi K2.7 Code lists the lower rate for Web search (per call when invoked).

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

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

Kimi K2.7 Code vs Qwen3.7 Plus: 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 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 Kimi K2.7 Code and Qwen3.7 Plus

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-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": "kimi-k2-7-code",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

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

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

Kimi K2.7 Code is the newer release (Jun 16, 2026); Qwen3.7 Plus was released on Jun 1, 2026. Qwen3.7 Plus 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 Plus 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 Plus?

Kimi K2.7 Code is the newer release (Jun 16, 2026); Qwen3.7 Plus was released on Jun 1, 2026.

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

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