Qwen3.6 35B A3B is a 256-expert mixture-of-experts reasoning model with 128K context, function tools, and strict structured JSON output.
Alibaba Cloudटेक्स्ट जनरेशन128K कॉन्टेक्स्टरिलीज 29 जुल॰ 2026नेटिव इन्फरेंसनयाQwen3.6 35B A3B is a 256-expert mixture-of-experts reasoning model with 128K context, function tools, and strict structured JSON output.
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.
इस नाम से भी जाना जाता है Alibaba Cloud Qwen3.6 35B A3B, Qwen3.6-35B-A3B, qwen3-6-35b-a3b
qwen3-6-35b-a3b/v1/chat/completionsPOST/v1/responsesPOST/v1/messagesPOST/v1/completionsPOST/v1beta/models/qwen3-6-35b-a3b:generateContentqwen3.6-35b-a3bqwen/qwen3.6-35b-a3bEschaLabs/Qwen3.6-35B-A3B-Escha-W2EmpirioLabs कैटलॉग से लाइव pay-as-you-go दरें। आप सिर्फ उतना ही भुगतान करते हैं जितना उपयोग करते हैं, कोई मासिक न्यूनतम नहीं।
Qwen3.6 35B A3B OpenAI-संगत Chat Completions API देता है। किसी भी OpenAI SDK को अपनी EmpirioLabs API key के साथ https://api.empiriolabs.ai/v1 पर सेट करें और model id qwen3-6-35b-a3b उपयोग करें। EmpirioLabs डैशबोर्ड से API key प्राप्त करें।
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."}
]
}'from openai import OpenAI
client = OpenAI(
base_url="https://api.empiriolabs.ai/v1",
api_key="YOUR_EMPIRIOLABS_API_KEY",
)
response = client.chat.completions.create(
model="qwen3-6-35b-a3b",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
)
print(response.choices[0].message.content)EmpirioLabs पर Qwen3.6 35B A3B API द्वारा समर्थित request पैरामीटर। फ़ील्ड छोड़ने पर डिफ़ॉल्ट मान लागू होते हैं।
| पैरामीटर | प्रकार | डिफॉल्ट | रेंज / मान | विवरण |
|---|---|---|---|---|
| temperature | number | 0.7 | 0 से 2 | Sampling temperature. 0 is deterministic and 2 is maximum randomness. |
| top_p | number | 0.95 | 0 से 1 | Nucleus sampling probability mass. Lower values make outputs more focused. |
| max_tokens | number | 4096 | 1 से 16384 | Maximum output tokens. With thinking on, leave room for the answer as well as the reasoning. |
| stop | string | - | - | Up to 4 strings where the model will stop generating further tokens. |
| enable_thinking | boolean | true | - | Enable the model reasoning channel before final output. Reasoning is returned in reasoning_content and bills as output tokens. |
| reasoning_effort | enum | medium | none, low, medium, high, max | Reasoning effort. none disables thinking. Any other value enables it. |
| top_k | number | 20 | 1 से 200 | Limit sampling to the top K candidate tokens. |
| min_p | number | 0 | 0 से 1 | Minimum probability threshold for token sampling. |
| presence_penalty | number | 0 | -2 से 2 | Penalize tokens that have already appeared, increasing topic diversity. |
| frequency_penalty | number | 0 | -2 से 2 | Penalize tokens in proportion to how often they have appeared. |
| seed | number | - | 0 से 2147483647 | Best-effort determinism. Output is not bit-reproducible across requests because batch composition changes accumulation order. |
| response_format | enum | - | text, json_object, json_schema | Structured output. json_object returns valid JSON. json_schema enforces your schema exactly. |
| web_search_linkup | boolean | false | - | Optional web search powered by Linkup. When enabled, recent web sources are retrieved using your latest user message as the query and provided to the model as additional context. Adds $0.013 per call when invoked on top of the model's normal token cost. Disabled by default. |
Text-only. This build does not accept image or video input, unlike the base Qwen3.6 35B A3B.
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.
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.
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.
EmpirioLabs पर Qwen3.6 35B A3B का बिल उपयोग के अनुसार बनता है। इस पेज की लाइव दर तालिका हमेशा API की वास्तविक बिलिंग से मेल खाती है।
Qwen3.6 35B A3B 128K टोकन की context window समर्थित करता है, प्रति उत्तर अधिकतम 16,384 आउटपुट टोकन के साथ।
हां। Qwen3.6 35B A3B OpenAI-संगत Chat Completions API देता है, इसलिए मौजूदा OpenAI SDKs base_url को https://api.empiriolabs.ai/v1 पर सेट करके और model id qwen3-6-35b-a3b रखकर काम करते हैं।
हां। EmpirioLabs playground ब्राउज़र में Qwen3.6 35B A3B को उन्हीं पैरामीटरों के साथ चलाता है जो API देता है, ताकि आप कोड लिखने से पहले prompt आज़मा सकें।
EmpirioLabs खाता बनाएं, फिर डैशबोर्ड में API Keys में key जनरेट करें। बिलिंग pay-as-you-go क्रेडिट से होती है, इसलिए आप सिर्फ अपनी requests का भुगतान करते हैं।
हमारे मूल्य निर्धारण की जाँच करें या यदि आप चाहते हैं कि आपका अपना मॉडल हमारे स्टैक पर तैनात किया जाए, तो पहुंचें।
