Qwen3.6 27B vs Qwen3.6 35B A3B

Qwen3.6 27B vs Qwen3.6 35B A3B at a glance

Qwen3.6 27B and Qwen3.6 35B A3B are both Alibaba Cloud models in the Text Generation category, available through the EmpirioLabs API.

Key differences

• Qwen3.6 27B is the newer release (Apr 22, 2026); Qwen3.6 35B A3B was released on Apr 16, 2026.
• Qwen3.6 27B has the larger context window: 224K tokens, against 128K for Qwen3.6 35B A3B.
• Qwen3.6 27B returns up to 64,000 output tokens per response, Qwen3.6 35B A3B up to 16,384.
• Input types only Qwen3.6 27B accepts: Image, Video.
• Capabilities listed only for Qwen3.6 27B: vision, web search, multimodal.
• Capabilities listed only for Qwen3.6 35B A3B: json mode, cache.
• Qwen3.6 35B A3B lists the lower rate for Input (per 1M prompt tokens) and Output (per 1M generated tokens).

Qwen3.6 27B vs Qwen3.6 35B A3B: specs

Qwen3.6 27B vs Qwen3.6 35B A3B: API pricing

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

Qwen3.6 27B vs Qwen3.6 35B A3B: 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.

Qwen3.6 27B vs Qwen3.6 35B A3B: limits and notes

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.

Qwen3.6 35B A3B

Text-only. This build does not accept image or video input, unlike the base Qwen3.6 35B A3B.

Weights

Served from the 2-bit eschamoe W2 build published by Escha Labs (eschalabs.com) as EschaLabs/Qwen3.6-35B-A3B-Escha-W2 on Hugging Face, under Apache-2.0. The experts are quantized to 2 bits, mixed per projection (gate_up_proj at 2-bit and down_proj at 3-bit), the dense layers are int8, and the KV cache is FP16. Escha Labs publishes the quality comparison against an FP8 baseline of the same model: parity or better on math, graduate science, tool use and long context, about 2 percent lower on broad knowledge, and about 7 percent lower on long-horizon code generation, which is the one clear gap. See the model card for the full benchmark table and protocol.

Behavior

Supports streaming, function tools, structured JSON output including strict schemas, and thinking mode on by default. Set enable_thinking=false for direct answers. With thinking on, the reasoning arrives in reasoning_content and the answer in content, so read both. A low max_tokens with thinking on can be spent entirely on reasoning, so allow room for the answer.

Caching

Automatic prefix cache reads are billed at the cached-input rate when reported. Explicit cache controls are not supported. Cancelling a streaming request mid-generation bills only the tokens produced up to that point.

How to call Qwen3.6 27B and Qwen3.6 35B A3B

Qwen3.6 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 qwen3-6-27b. Both models are called through the same endpoint. Set model to qwen3-6-27b or qwen3-6-35b-a3b. 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": "qwen3-6-27b",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

Qwen3.6 27B vs Qwen3.6 35B A3B: common questions

What is the difference between Qwen3.6 27B and Qwen3.6 35B A3B?

Qwen3.6 27B is the newer release (Apr 22, 2026); Qwen3.6 35B A3B was released on Apr 16, 2026. Qwen3.6 27B has the larger context window: 224K tokens, against 128K for Qwen3.6 35B A3B. Qwen3.6 27B returns up to 64,000 output tokens per response, Qwen3.6 35B A3B up to 16,384. The specs, rate cards, and parameters on this page come from the live EmpirioLabs catalog.

Which is newer, Qwen3.6 27B or Qwen3.6 35B A3B?

Qwen3.6 27B is the newer release (Apr 22, 2026); Qwen3.6 35B A3B was released on Apr 16, 2026.

Which has the lower rate, Qwen3.6 27B or Qwen3.6 35B A3B?

Qwen3.6 35B A3B 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 Qwen3.6 27B and Qwen3.6 35B A3B 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 Qwen3.6 27B and Qwen3.6 35B A3B 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.