Qwen3.8 27B vs Qwen3.6 27B

Qwen3.8 27B vs Qwen3.6 27B at a glance

Qwen3.8 27B and Qwen3.6 27B are both Alibaba Cloud models in the Text Generation category, available through the EmpirioLabs API.

Key differences

• Qwen3.8 27B is the newer release (Aug 14, 2026); Qwen3.6 27B was released on Apr 22, 2026.
• Qwen3.8 27B has the larger context window: 256K tokens, against 224K for Qwen3.6 27B.
• Qwen3.6 27B returns up to 64,000 output tokens per response, Qwen3.8 27B up to 32,768.
• Capabilities listed only for Qwen3.8 27B: video, cache, json mode, logprobs.
• Capabilities listed only for Qwen3.6 27B: web search.
• Qwen3.8 27B lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens).

Qwen3.8 27B vs Qwen3.6 27B: specs

Qwen3.8 27B vs Qwen3.6 27B: API pricing

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

Qwen3.8 27B vs Qwen3.6 27B: 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.

Qwen3.8 27B vs Qwen3.6 27B: limits and notes

Qwen3.8 27B

Supports text, image, and video input, streaming, function tools, structured JSON output, seed control, and thinking mode on by default. Use reasoning_effort (xhigh, medium, low) or enable_thinking=false for direct answers. Automatic cache reads are billed at the cached-input rate when reported by the model service. Explicit cache controls are not supported. Open-weight context is 256K; hosted 1M context and official built-in tools are not included.

Qwen3.6 27B

Supports text, image, and video input. Web search is available through tool_web_search and adds $0.01 per request when enabled. Thinking tokens are billed as output tokens.

How to call Qwen3.8 27B and Qwen3.6 27B

Qwen3.8 27B 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 qwen3-8-27b. Both models are called through the same endpoint. Set model to qwen3-8-27b or qwen3-6-27b. 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": "qwen3-8-27b",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

Qwen3.8 27B vs Qwen3.6 27B: common questions

What is the difference between Qwen3.8 27B and Qwen3.6 27B?

Qwen3.8 27B is the newer release (Aug 14, 2026); Qwen3.6 27B was released on Apr 22, 2026. Qwen3.8 27B has the larger context window: 256K tokens, against 224K for Qwen3.6 27B. Qwen3.6 27B returns up to 64,000 output tokens per response, Qwen3.8 27B up to 32,768. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, Qwen3.8 27B or Qwen3.6 27B?

Qwen3.8 27B is the newer release (Aug 14, 2026); Qwen3.6 27B was released on Apr 22, 2026.

Which has the lower rate, Qwen3.8 27B or Qwen3.6 27B?

Qwen3.8 27B 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 Qwen3.8 27B and Qwen3.6 27B 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 Qwen3.8 27B and Qwen3.6 27B 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.