Qwen3.6 35B A3B vs Qwen3.6 Flash

Qwen3.6 35B A3B and Qwen3.6 Flash side by side: specs, capabilities, parameters, and live pricing from the EmpirioLabs catalog.

Alibaba Cloud Text Generation

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

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

Key differences

  • Both models were released on Apr 16, 2026.
  • Qwen3.6 Flash has the larger context window: 983.6K tokens, against 128K for Qwen3.6 35B A3B.
  • Qwen3.6 Flash returns up to 65,536 output tokens per response, Qwen3.6 35B A3B up to 16,384.
  • Input types only Qwen3.6 Flash accepts: Image, Video.
  • Capabilities listed only for Qwen3.6 35B A3B: json mode, cache.
  • Capabilities listed only for Qwen3.6 Flash: vision, video, web search, agentic coding.

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

SpecQwen3.6 35B A3BQwen3.6 Flash
Model IDqwen3-6-35b-a3bqwen3-6-flash
AuthorAlibaba CloudAlibaba Cloud
ReleasedApr 16, 2026Apr 16, 2026
Context window128K tokens983.6K tokens
Max output16,384 tokens65,536 tokens
Input
Text
Text Image Video
Output
Text
Text
Structured outputJSON SchemaJSON Mode
Region-Singapore
Endpoints
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1/completions POST /v1beta/models/qwen3-6-35b-a3b:generateContent
POST /v1/chat/completions POST /v1/responses POST /v1/messages POST /v1beta/models/qwen3-6-flash:generateContent
Capabilities
reasoning function calling json mode cache
reasoning vision video web search function calling agentic coding

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

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

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

ParameterQwen3.6 35B A3BQwen3.6 Flash
temperaturemin 0 Default: 0.70 to 1.99 Default: 0.7
top_p0.01 to 1 Default: 0.950 to 1 Default: 0.9
max_tokens1 to 16384 Default: 163841 to 65536
stopstringstring
enable_thinkingboolean Default: trueboolean Default: true
reasoning_effortnone, low, medium, high, max Default: mediumnone, low, medium, high, max Default: medium
top_kmin 1 Default: 201 to 100
min_p0 to 1 Default: 0-
frequency_penalty-2 to 2 Default: 0-
presence_penalty-2 to 2 Default: 0-2 to 2
seed0 to 21474836470 to 2147483647
response_formattext, json_object, json_schemaenum
web_search_linkupboolean Default: false-
disable_formattingboolean Default: false-
thinking_budget-1 to 64000 Default: 32768
preserve_thinking-boolean Default: false

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

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.

Qwen3.6 Flash

Supports text, image, and video input. Web search is available through tool_web_search and adds $0.02 per request when enabled. Thinking tokens are billed as output tokens. Explicit cache controls are not supported.

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

Qwen3.6 35B A3B 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 qwen3-6-35b-a3b. Both models are called through the same endpoint. Set model to qwen3-6-35b-a3b or qwen3-6-flash. Get an API key from the EmpirioLabs dashboard.

cURL
curl https://api.empiriolabs.ai/v1/chat/completions \
  -H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "qwen3-6-35b-a3b",
    "messages": [
      {"role": "user", "content": "Write a haiku about the ocean."}
    ]
  }'

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

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

Both models were released on Apr 16, 2026. Qwen3.6 Flash has the larger context window: 983.6K tokens, against 128K for Qwen3.6 35B A3B. Qwen3.6 Flash returns up to 65,536 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 has the lower rate, Qwen3.6 35B A3B or Qwen3.6 Flash?

The two models are priced on different units or tiers, so compare the live rate cards on this page. They always match what the API charges.

Can I switch between Qwen3.6 35B A3B and Qwen3.6 Flash 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 35B A3B and Qwen3.6 Flash 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.

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